Abstract Image segmentation is an elementary task in computer vision and image processing. This paper deals with the automatic image segmentation in a region merging method. Two essential problems in a region merging algorithm: order of merging and the stopping criterion. These two problems are solved by a novel predicate which is described by the sequential probability ratio test and the minimal cost criterion. In this paper we propose an Active Region merging algorithm which utilizes the information acquired from perceiving edges in color images in L*a*b* color space. By means of color gradient recognition method, pixels with no edges are clustered and considered alone to recognize some preliminary portion of the input image. The color information along with a region growth map consisting of completely grown regions are used to perform an Active region merging method to combine regions with similar characteristics. Experiments on real natural images are performed to demonstrate the performance of the proposed Active region merging method. Index Terms: Adaptive threshold generation, CIE L*a*b* color gradient, region merging, Sequential Probability Ratio Test (SPRT).
Perceptual Weights Based On Local Energy For Image Quality AssessmentCSCJournals
This paper proposes an image quality metric that can effectively measure the quality of an image that correlates well with human judgment on the appearance of the image. The present work adds a new dimension to the structural approach based full-reference image quality assessment for gray scale images. The proposed method assigns more weight to the distortions present in the visual regions of interest of the reference (original) image than to the distortions present in the other regions of the image, referred to as perceptual weights. The perceptual features and their weights are computed based on the local energy modeling of the original image. The proposed model is validated using the image database provided by LIVE (Laboratory for Image & Video Engineering, The University of Texas at Austin) based on the evaluation metrics as suggested in the video quality experts group (VQEG) Phase I FR-TV test.
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology
A Novel Feature Extraction Scheme for Medical X-Ray ImagesIJERA Editor
X-ray images are gray scale images with almost the same textural characteristic. Conventional texture or color
features cannot be used for appropriate categorization in medical x-ray image archives. This paper presents a
novel combination of methods like GLCM, LBP and HOG for extracting distinctive invariant features from Xray
images belonging to IRMA (Image Retrieval in Medical applications) database that can be used to perform
reliable matching between different views of an object or scene. GLCM represents the distributions of the
intensities and the information about relative positions of neighboring pixels of an image. The LBP features are
invariant to image scale and rotation, change in 3D viewpoint, addition of noise, and change in illumination A
HOG feature vector represents local shape of an object, having edge information at plural cells. These features
have been exploited in different algorithms for automatic classification of medical X-ray images. Excellent
experimental results obtained in true problems of rotation invariance, particular rotation angle, demonstrate that
good discrimination can be achieved with the occurrence statistics of simple rotation invariant local binary
patterns.
Fuzzy Region Merging Using Fuzzy Similarity Measurement on Image Segmentation IJECEIAES
Some image’s regions have unbalance information, such as blurred contour, shade, and uneven brightness. Those regions are called as ambiguous regions. Ambiguous region cause problem during region merging process in interactive image segmentation because that region has double information, both as object and background. We proposed a new region merging strategy using fuzzy similarity measurement for image segmentation. The proposed method has four steps; the first step is initial segmentation using mean-shift algorithm. The second step is giving markers manually to indicate the object and background region. The third step is determining the fuzzy region or ambiguous region in the images. The last step is fuzzy region merging using fuzzy similarity measurement. The experimental results demonstrated that the proposed method is able to segment natural images and dental panoramic images successfully with the average value of misclassification error (ME) 1.96% and 5.47%, respectively.
Importance of Mean Shift in Remote Sensing SegmentationIOSR Journals
1) Mean shift is a non-parametric clustering technique that can segment remote sensing images into homogeneous regions without prior knowledge of the number of clusters or constraints on cluster shape.
2) The document presents a case study demonstrating mean shift can segment an image containing oil storage tanks into distinct regions faster than level set segmentation.
3) Mean shift is shown to be well-suited for remote sensing image segmentation tasks like forest mapping and land cover classification due to its ability to handle noise, gradients, and texture variations common in real-world images.
Fpga implementation of image segmentation by using edge detection based on so...eSAT Journals
This document summarizes an article that presents a method for implementing image segmentation using edge detection based on the Sobel edge operator on an FPGA. It describes how the Sobel operator works by calculating horizontal and vertical gradients to detect edges. The document outlines the steps to segment an image using Sobel edge detection, including applying horizontal and vertical masks, calculating the gradient, and thresholding. It also provides the architecture for the FPGA implementation, including modules for pixel generation, Sobel enhancement, edge detection, and binary segmentation. The results show edge detection outputs from MATLAB and simulation waveforms, demonstrating the FPGA-based method can perform edge-based image segmentation.
Fpga implementation of image segmentation by using edge detection based on so...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
This document presents a new interactive image segmentation method called Advanced Maximal Similarity Based Region Merging (MSRM) using user interactions. The method first segments the image using multi-level thresholding. The user then marks regions of the desired object with markers. Regions are represented by color histograms and similarity is measured using Euclidean distance of mean color values. Regions are merged based on similarity, first merging marked and unmarked object regions, then merging remaining unmarked regions. Results show the proposed MSRM method achieves higher true positive rates and lower false positive rates than other interactive segmentation methods.
Perceptual Weights Based On Local Energy For Image Quality AssessmentCSCJournals
This paper proposes an image quality metric that can effectively measure the quality of an image that correlates well with human judgment on the appearance of the image. The present work adds a new dimension to the structural approach based full-reference image quality assessment for gray scale images. The proposed method assigns more weight to the distortions present in the visual regions of interest of the reference (original) image than to the distortions present in the other regions of the image, referred to as perceptual weights. The perceptual features and their weights are computed based on the local energy modeling of the original image. The proposed model is validated using the image database provided by LIVE (Laboratory for Image & Video Engineering, The University of Texas at Austin) based on the evaluation metrics as suggested in the video quality experts group (VQEG) Phase I FR-TV test.
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology
A Novel Feature Extraction Scheme for Medical X-Ray ImagesIJERA Editor
X-ray images are gray scale images with almost the same textural characteristic. Conventional texture or color
features cannot be used for appropriate categorization in medical x-ray image archives. This paper presents a
novel combination of methods like GLCM, LBP and HOG for extracting distinctive invariant features from Xray
images belonging to IRMA (Image Retrieval in Medical applications) database that can be used to perform
reliable matching between different views of an object or scene. GLCM represents the distributions of the
intensities and the information about relative positions of neighboring pixels of an image. The LBP features are
invariant to image scale and rotation, change in 3D viewpoint, addition of noise, and change in illumination A
HOG feature vector represents local shape of an object, having edge information at plural cells. These features
have been exploited in different algorithms for automatic classification of medical X-ray images. Excellent
experimental results obtained in true problems of rotation invariance, particular rotation angle, demonstrate that
good discrimination can be achieved with the occurrence statistics of simple rotation invariant local binary
patterns.
Fuzzy Region Merging Using Fuzzy Similarity Measurement on Image Segmentation IJECEIAES
Some image’s regions have unbalance information, such as blurred contour, shade, and uneven brightness. Those regions are called as ambiguous regions. Ambiguous region cause problem during region merging process in interactive image segmentation because that region has double information, both as object and background. We proposed a new region merging strategy using fuzzy similarity measurement for image segmentation. The proposed method has four steps; the first step is initial segmentation using mean-shift algorithm. The second step is giving markers manually to indicate the object and background region. The third step is determining the fuzzy region or ambiguous region in the images. The last step is fuzzy region merging using fuzzy similarity measurement. The experimental results demonstrated that the proposed method is able to segment natural images and dental panoramic images successfully with the average value of misclassification error (ME) 1.96% and 5.47%, respectively.
Importance of Mean Shift in Remote Sensing SegmentationIOSR Journals
1) Mean shift is a non-parametric clustering technique that can segment remote sensing images into homogeneous regions without prior knowledge of the number of clusters or constraints on cluster shape.
2) The document presents a case study demonstrating mean shift can segment an image containing oil storage tanks into distinct regions faster than level set segmentation.
3) Mean shift is shown to be well-suited for remote sensing image segmentation tasks like forest mapping and land cover classification due to its ability to handle noise, gradients, and texture variations common in real-world images.
Fpga implementation of image segmentation by using edge detection based on so...eSAT Journals
This document summarizes an article that presents a method for implementing image segmentation using edge detection based on the Sobel edge operator on an FPGA. It describes how the Sobel operator works by calculating horizontal and vertical gradients to detect edges. The document outlines the steps to segment an image using Sobel edge detection, including applying horizontal and vertical masks, calculating the gradient, and thresholding. It also provides the architecture for the FPGA implementation, including modules for pixel generation, Sobel enhancement, edge detection, and binary segmentation. The results show edge detection outputs from MATLAB and simulation waveforms, demonstrating the FPGA-based method can perform edge-based image segmentation.
Fpga implementation of image segmentation by using edge detection based on so...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
This document presents a new interactive image segmentation method called Advanced Maximal Similarity Based Region Merging (MSRM) using user interactions. The method first segments the image using multi-level thresholding. The user then marks regions of the desired object with markers. Regions are represented by color histograms and similarity is measured using Euclidean distance of mean color values. Regions are merged based on similarity, first merging marked and unmarked object regions, then merging remaining unmarked regions. Results show the proposed MSRM method achieves higher true positive rates and lower false positive rates than other interactive segmentation methods.
Image Segmentation Using Pairwise Correlation ClusteringIJERA Editor
A pairwise hypergraph based image segmentation framework is formulated in a supervised manner for various images. The image segmentation is to infer the edge label over the pairwise hypergraph by maximizing the normalized cuts. Correlation clustering which is a graph partitioning algorithm, was shown to be effective in a number of applications such as identification, clustering of documents and image segmentation.The partitioning result is derived from a algorithm to partition a pairwise graph into disjoint groups of coherent nodes. In the pairwise correlation clustering, the pairwise graph which is used in the correlation clustering is generalized to a superpixel graph where a node corresponds to a superpixel and a link between adjacent superpixels corresponds to an edge. This pairwise correlation clustering also considers the feature vector which extracts several visual cues from a superpixel, including brightness, color, texture, and shape. Significant progress in clustering has been achieved by algorithms that are based on pairwise affinities between the datasets. The experimental results are shown by calculating the typical cut and inference in an undirected graphical model and datasets.
OBJECT SEGMENTATION USING MULTISCALE MORPHOLOGICAL OPERATIONSijcseit
Object segmentation plays an important role in human visual perception, medical image processing and content based image retrieval. It provides information for recognition and interpretation. This paper uses mathematical morphology for image segmentation. Object segmentation is difficult because one usually does not know a priori what type of object exists in an image, how many different shapes are there and what regions the image has. To carryout discrimination and segmentation several innovative segmentation methods, based on morphology are proposed. The present study proposes segmentation method based on multiscale morphological reconstructions. Various sizes of structuring elements have been used to segment simple and complex shapes. It enhances local boundaries that may lead to improve segmentation accuracy.The method is tested on various datasets and results shows that it can be used for both interactive and automatic segmentation.
Amalgamation of contour, texture, color, edge, and spatial features for effic...eSAT Journals
Abstract From the past few years, Content based image retrieval (CBIR) has been a progressive and curious research area. Image retrieval is a process of extraction of the set of images from the available image database resembling the query image. Many CBIR techniques have been proposed for relevant image recoveries. However most of them are based on a particular feature extraction like texture based recovery, color based retrieval system etc. Here in this paper we put forward a novel technique for image recovery based on the integration of contour, texture, color, edge, and spatial features. Contourlet decomposition is employed for the extraction of contour features such as energy and standard deviation. Directionality and anisotropy are the properties of contourlet transformation that makes it an efficient technique. After feature extraction of query and database images, similarity measurement techniques such as Squared Euclidian and Manhattan distance were used to obtain the top N image matches. The simulation results in Matlab show that the proposed technique offers a better image retrieval. Satisfactory precision-recall rate is also maintained in this method. Keywords: Contourlet Decomposition, Local Binary Pattern, Squared Euclidian Distance, Manhattan Distance
Object recognition from image using grid based color moments feature extracti...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
This document summarizes a research paper that proposes an algorithm for detecting brain tumors in MRI images based on analyzing bilateral symmetry. The algorithm first performs preprocessing like smoothing and contrast enhancement. It then identifies the bilateral symmetry axis of the brain. Next, it segments the image into symmetric regions, enhancing asymmetric edges that may indicate a tumor. Experiments showed the algorithm can automatically detect tumor positions and boundaries. The algorithm leverages the fact that brain MRI of a healthy person is nearly bilaterally symmetric, while a tumor disrupts this symmetry.
Content-based Image Retrieval Using The knowledge of Color, Texture in Binary...Zahra Mansoori
This document presents a new approach for content-based image retrieval that combines color, texture, and a binary tree structure to describe images and their features. Color histograms in HSV color space and wavelet texture features are extracted as low-level features. A binary tree partitions each image into regions based on color and represents higher-level spatial relationships. The performance of the proposed system is evaluated on a subset of the COREL image database and compared to the SIMPLIcity image retrieval system. Experimental results show the proposed system has better retrieval performance than SIMPLIcity in some categories and comparable performance in others.
This document describes an interactive multi-label image segmentation algorithm called "GrowCut" based on cellular automata. The algorithm can segment N-dimensional images with multiple labels. With modest user input of labeled pixels, GrowCut automatically segments the rest of the image in an iterative process. It requires less user effort than other techniques for moderately difficult images. The algorithm has advantages such as efficiency, parallelizability, and extensibility to generate new segmentation methods.
This document provides a review of various texture classification approaches and texture datasets. It begins with an introduction to texture classification and its general framework. Key steps in texture classification are preprocessing, feature extraction, and classification. The document then discusses several common feature extraction methods used in texture classification, including local binary pattern (LBP), scale invariant feature transform (SIFT), speeded up robust features (SURF), Fourier transformation, texture spectrum, and gray level co-occurrence matrix (GLCM). It also reviews three popular classifiers for texture classification: K-nearest neighbors (K-NN), artificial neural network (ANN), and support vector machine (SVM). Finally, it mentions several popular texture datasets that are commonly used for training and testing texture
This document summarizes an evaluation of texture feature extraction methods for content-based image retrieval, including co-occurrence matrices, Tamura features, and Gabor filters. The evaluation tested these methods on a Corel image collection using Manhattan distance as the similarity measure. Co-occurrence matrices performed best with homogeneity as the feature, while Gabor wavelets showed better performance for homogeneous textures of fixed sizes. Tamura features performed poorly with directionality. Overall, co-occurrence matrices provided the best results for general texture retrieval.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
International Journal of Engineering Research and Applications (IJERA) aims to cover the latest outstanding developments in the field of all Engineering Technologies & science.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
This paper proposes a novel technique for detecting point landmarks in 3D medical images based on phase congruency (PC). A bank of 3D log-Gabor filters is used to compute energy maps from the images. These energy maps are combined to form the PC measure, which is invariant to intensity variations and provides good feature localization. Significant 3D point landmarks are detected by analyzing the eigenvectors of PC moments computed at each point. The method is demonstrated on head and neck images for radiation therapy planning.
IRJET-A Review on Implementation of High Dimension Colour Transform in Domain...IRJET Journal
This document reviews algorithms for detecting salient regions in images using high dimensional color transforms. It summarizes several existing methods that use color contrast, frequency analysis, and superpixel segmentation. A key method discussed creates a saliency map by finding the optimal linear combination of color coefficients in a high dimensional color space. This allows more accurate detection of salient objects versus methods using only RGB color. The performance of this high dimensional color transform method is improved by also utilizing relative location and color contrast between superpixels as learned features.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
An Automatic Color Feature Vector Classification Based on Clustering MethodRSIS International
In computer vision application, visual features such as
shape, color and texture are extracted to characterize images.
Each of the features is represented using one or more feature
descriptors. One of the important requirements in image
retrieval, indexing, classification, clustering, etc. is extracting
efficient features from images. The color feature is one of the
most widely used visual features. Use of color histogram is the
most common way for representing color feature. One of
disadvantage of the color histogram is that it does not take the
color spatial distribution into consideration. In this paper an
automatic color feature vector classification based on clustering
approach is presented, which effectively describes the spatial
information of color features. The image retrieval results are
compare to improved color feature vector show the acceptable
efficiency of this approach. It propose an automatic color feature
vector classification of satellite images using clustering approach.
The intention is to study cluster a set of satellite images in several
categories on the color similarity basis. The images are processed
using LAB color space in the feature extraction stage. The
resulted color-based feature vectors are clustered using an
automatic unsupervised classification algorithm. Some
experiments based on the proposed recognition technique have
also been performed. More research, however, is needed to
identify and reduce uncertainties in the image processing chain
to improve classification accuracy. The mathematical training
and prediction analysis of a general familiarity with satellite
classifications meet typical map accuracy standards.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
Color Particle Filter Tracking using Frame Segmentation based on JND Color an...IOSRJVSP
Object tracking is one of the most important components in numerous applications of computer vision. Color can provide an efficient visual feature for tracking non-rigid objects in real-time. The color is chosen as tracking feature to make the process scale and rotation invariant. The color of an object can vary over time due to variations in the illumination conditions, the visual angle and the camera parameters. This paper presents the integration of color distributions into particle filtering. The color feature is extracted using our novel 4D color histogram of the image, which is determined using JND color similarity threshold and connectivity of the neighboring pixels. Particle filter tracks several hypotheses simultaneously and weighs them according to their similarity to the target model. The popular Bhattacharyya coefficient is used as similarity measure between two color distributions. The tracking results are compared on the basis of precision over the data set of video sequences from the website http://visualtracking.net of CVPR13 bench marking paper. The proposed tracker yields better precision values as compared to previous reported results
Multidimensional schema for agricultural data warehouseeSAT Journals
Abstract Agriculture is one of the important issues for a nation’s economy and it required technical breakthroughs in this century. With today’s computerized world, the agricultural data processing is an increasing need for formers and decision makers. Agricultural data is diversified, complex and non-standard. Developing a data warehouse for agricultural is a key challenge for researchers. The objective of this work is to design a data warehouse about crops and their requirements. The proposed data warehouse may be extended to Decision Support System (DSS) combine with data mining techniques. We proposed a multidimensional data warehouse for agriculture that provides solutions for farmers and gives response of their ad-hoc quires. This multidimensional schema further promotes star schema and snowflake schema that are commonly used to design data warehouses. In our manuscript normalization is applied to store the data in to star schema and duplicate values are removed, so that space and time complexities could be minimized. Index Terms: Agriculture, Data Warehouse, Multidimensional Schema, Dimensional Modeling, OLAP
Abstract This paper introduces WRIST WATCH WITH EMBEDDED SYSTEMS- a wrist watch having all the functions of a cell phone. The services include- (1). Calling, (2). Video recording, (3). Image capturing, (4). Voice recording, (5). Song recording, (6). Media player, (7). Game, (8). Internet connectivity, (9). Calculator, (10). FM and AM radio connection, (11). Message transmission and receiving. The same wrist watch will also act as medical test equipment. The types of test that can be incorporated are- (1). Blood test, (2). Different types of disease detection and daily control analysis. Collectively the wrist watch can be used as a modern cell phone having all the facilities we can inherit and also it can use as for managing or analyzing the daily common diseases.
Experimental studies on laterite soil stabilized with cement and aggregateeSAT Journals
Abstract The subgrade must be able to support loads transmitted from pavement structure without excessive deformation under adverse climatic and traffic conditions to increase the life of the pavement. It is a well known fact that, all soils do not possess all the desirable qualities for using it as good quality pavement material. When such soils cannot be replaced, its subgrade performance should be increased by several modification techniques. The place where ground water table is high, the strength of subgrade is adversely affected by moisture infiltration to subgrade and base due to capillary action. The purpose of this paper is to evaluate the use of low contents of cement and aggregate in the modification of a lateritic soil properties concerning the behavior of mixtures to use in the base construction. In the present study an effort is made to obtain the optimum dosage of cement for stabilization of locally available lateritic soil. The study incorporates investigations on basic properties of soil. Then the investigations are carried out to study the effect of addition of 10 mm down aggregates to the soil properties added in addition to the obtained optimum cement content to evaluate the extent of modification on MDD, OMC and CBR of the soil. The experimental investigations shown that there is a tremendous increase in the CBR value of the soil treated with cement-aggregate modification. After conducting all the tests see whether it’s strength is suitable for base coarse. In addition, the field cost analysis is also made to compare the cost of construction for various modifications used. Keywords: lateritic soil 1, Cement 2, Aggregates3, Stabilization4 and CBR5
Firing patterns and its effect on muckpile shape parameters and fragmentation...eSAT Journals
Abstract Proper use of firing pattern vis-à-vis the blast requirements can provide optimal blast performance in terms of fragmentation, throw, wall control etc. This is largely attributed to the importance of firing burden in any blast round. By changing the firing patterns the firing burden, and, thereby the ratio of spacing to burden is also subject to change. Proper initiation timing is as important for fragmentation as the burden, spacing, sub drilling, stemming etc. Simultaneous initiation leads to the problems, such as, coarser fragmentation, blasting of a large number of holes at a given time which leads to the other problems. The present research study which was conducted in three limestone quarries where major problems such as of improper fragmentation, poor wall control, and poor heave characteristics of the muckpile were observed. Designed firing pattern was not able to provide the requisite fragmentation, and, even the throw. Modifications in firing pattern were implemented to obtain the required blast results. Keywords: Firing pattern, fragmentation, progressive relief, throw, drop, muckpile
Efficient usage of memory management in big data using “anti caching”eSAT Journals
Abstract The Increase in the capacity of main memory coupled with the decrease in cost has fueled the development of in-memory database systems that mange data entirely in memory, thereby eliminating the disk I/O bottleneck. However, the present system in the Big Data era, maintaining all data in memory is impossible and even unnecessary. Ideally they would like to have the high access speed of memory, with the large capacity and low price of disk. This hinges on the ability to effectively utilize both the main memory and disk. In this paper, analyze State-of-the-art approach to achieving this goal for in –memory databases, which is called as “Anti-Caching” to distinguish it from traditional caching mechanisms. Extensive experiments were conducted to study the effect of each fine-grained component of the entire process of “Anti-Caching” on both performance and prediction accuracy. To avoid the interfaces from other unrelated components of specific systems, these approaches are implemented on a uniform platform to ensure a fair comparison, they also study the usability of each approach, and how intrusive it is to the systems that intend to incorporate it. Based on results, some guidelines on designing a good “Anti-Caching” approach and sketch a general and efficient approach which can be utilized in most in-memory database systems without much code modification. Key Words: Caching, Anti-Caching, State-of-the-art approach, in-memory database systems.
Image Segmentation Using Pairwise Correlation ClusteringIJERA Editor
A pairwise hypergraph based image segmentation framework is formulated in a supervised manner for various images. The image segmentation is to infer the edge label over the pairwise hypergraph by maximizing the normalized cuts. Correlation clustering which is a graph partitioning algorithm, was shown to be effective in a number of applications such as identification, clustering of documents and image segmentation.The partitioning result is derived from a algorithm to partition a pairwise graph into disjoint groups of coherent nodes. In the pairwise correlation clustering, the pairwise graph which is used in the correlation clustering is generalized to a superpixel graph where a node corresponds to a superpixel and a link between adjacent superpixels corresponds to an edge. This pairwise correlation clustering also considers the feature vector which extracts several visual cues from a superpixel, including brightness, color, texture, and shape. Significant progress in clustering has been achieved by algorithms that are based on pairwise affinities between the datasets. The experimental results are shown by calculating the typical cut and inference in an undirected graphical model and datasets.
OBJECT SEGMENTATION USING MULTISCALE MORPHOLOGICAL OPERATIONSijcseit
Object segmentation plays an important role in human visual perception, medical image processing and content based image retrieval. It provides information for recognition and interpretation. This paper uses mathematical morphology for image segmentation. Object segmentation is difficult because one usually does not know a priori what type of object exists in an image, how many different shapes are there and what regions the image has. To carryout discrimination and segmentation several innovative segmentation methods, based on morphology are proposed. The present study proposes segmentation method based on multiscale morphological reconstructions. Various sizes of structuring elements have been used to segment simple and complex shapes. It enhances local boundaries that may lead to improve segmentation accuracy.The method is tested on various datasets and results shows that it can be used for both interactive and automatic segmentation.
Amalgamation of contour, texture, color, edge, and spatial features for effic...eSAT Journals
Abstract From the past few years, Content based image retrieval (CBIR) has been a progressive and curious research area. Image retrieval is a process of extraction of the set of images from the available image database resembling the query image. Many CBIR techniques have been proposed for relevant image recoveries. However most of them are based on a particular feature extraction like texture based recovery, color based retrieval system etc. Here in this paper we put forward a novel technique for image recovery based on the integration of contour, texture, color, edge, and spatial features. Contourlet decomposition is employed for the extraction of contour features such as energy and standard deviation. Directionality and anisotropy are the properties of contourlet transformation that makes it an efficient technique. After feature extraction of query and database images, similarity measurement techniques such as Squared Euclidian and Manhattan distance were used to obtain the top N image matches. The simulation results in Matlab show that the proposed technique offers a better image retrieval. Satisfactory precision-recall rate is also maintained in this method. Keywords: Contourlet Decomposition, Local Binary Pattern, Squared Euclidian Distance, Manhattan Distance
Object recognition from image using grid based color moments feature extracti...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
This document summarizes a research paper that proposes an algorithm for detecting brain tumors in MRI images based on analyzing bilateral symmetry. The algorithm first performs preprocessing like smoothing and contrast enhancement. It then identifies the bilateral symmetry axis of the brain. Next, it segments the image into symmetric regions, enhancing asymmetric edges that may indicate a tumor. Experiments showed the algorithm can automatically detect tumor positions and boundaries. The algorithm leverages the fact that brain MRI of a healthy person is nearly bilaterally symmetric, while a tumor disrupts this symmetry.
Content-based Image Retrieval Using The knowledge of Color, Texture in Binary...Zahra Mansoori
This document presents a new approach for content-based image retrieval that combines color, texture, and a binary tree structure to describe images and their features. Color histograms in HSV color space and wavelet texture features are extracted as low-level features. A binary tree partitions each image into regions based on color and represents higher-level spatial relationships. The performance of the proposed system is evaluated on a subset of the COREL image database and compared to the SIMPLIcity image retrieval system. Experimental results show the proposed system has better retrieval performance than SIMPLIcity in some categories and comparable performance in others.
This document describes an interactive multi-label image segmentation algorithm called "GrowCut" based on cellular automata. The algorithm can segment N-dimensional images with multiple labels. With modest user input of labeled pixels, GrowCut automatically segments the rest of the image in an iterative process. It requires less user effort than other techniques for moderately difficult images. The algorithm has advantages such as efficiency, parallelizability, and extensibility to generate new segmentation methods.
This document provides a review of various texture classification approaches and texture datasets. It begins with an introduction to texture classification and its general framework. Key steps in texture classification are preprocessing, feature extraction, and classification. The document then discusses several common feature extraction methods used in texture classification, including local binary pattern (LBP), scale invariant feature transform (SIFT), speeded up robust features (SURF), Fourier transformation, texture spectrum, and gray level co-occurrence matrix (GLCM). It also reviews three popular classifiers for texture classification: K-nearest neighbors (K-NN), artificial neural network (ANN), and support vector machine (SVM). Finally, it mentions several popular texture datasets that are commonly used for training and testing texture
This document summarizes an evaluation of texture feature extraction methods for content-based image retrieval, including co-occurrence matrices, Tamura features, and Gabor filters. The evaluation tested these methods on a Corel image collection using Manhattan distance as the similarity measure. Co-occurrence matrices performed best with homogeneity as the feature, while Gabor wavelets showed better performance for homogeneous textures of fixed sizes. Tamura features performed poorly with directionality. Overall, co-occurrence matrices provided the best results for general texture retrieval.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
International Journal of Engineering Research and Applications (IJERA) aims to cover the latest outstanding developments in the field of all Engineering Technologies & science.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
This paper proposes a novel technique for detecting point landmarks in 3D medical images based on phase congruency (PC). A bank of 3D log-Gabor filters is used to compute energy maps from the images. These energy maps are combined to form the PC measure, which is invariant to intensity variations and provides good feature localization. Significant 3D point landmarks are detected by analyzing the eigenvectors of PC moments computed at each point. The method is demonstrated on head and neck images for radiation therapy planning.
IRJET-A Review on Implementation of High Dimension Colour Transform in Domain...IRJET Journal
This document reviews algorithms for detecting salient regions in images using high dimensional color transforms. It summarizes several existing methods that use color contrast, frequency analysis, and superpixel segmentation. A key method discussed creates a saliency map by finding the optimal linear combination of color coefficients in a high dimensional color space. This allows more accurate detection of salient objects versus methods using only RGB color. The performance of this high dimensional color transform method is improved by also utilizing relative location and color contrast between superpixels as learned features.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
An Automatic Color Feature Vector Classification Based on Clustering MethodRSIS International
In computer vision application, visual features such as
shape, color and texture are extracted to characterize images.
Each of the features is represented using one or more feature
descriptors. One of the important requirements in image
retrieval, indexing, classification, clustering, etc. is extracting
efficient features from images. The color feature is one of the
most widely used visual features. Use of color histogram is the
most common way for representing color feature. One of
disadvantage of the color histogram is that it does not take the
color spatial distribution into consideration. In this paper an
automatic color feature vector classification based on clustering
approach is presented, which effectively describes the spatial
information of color features. The image retrieval results are
compare to improved color feature vector show the acceptable
efficiency of this approach. It propose an automatic color feature
vector classification of satellite images using clustering approach.
The intention is to study cluster a set of satellite images in several
categories on the color similarity basis. The images are processed
using LAB color space in the feature extraction stage. The
resulted color-based feature vectors are clustered using an
automatic unsupervised classification algorithm. Some
experiments based on the proposed recognition technique have
also been performed. More research, however, is needed to
identify and reduce uncertainties in the image processing chain
to improve classification accuracy. The mathematical training
and prediction analysis of a general familiarity with satellite
classifications meet typical map accuracy standards.
International Journal of Engineering Research and DevelopmentIJERD Editor
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Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
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Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
Color Particle Filter Tracking using Frame Segmentation based on JND Color an...IOSRJVSP
Object tracking is one of the most important components in numerous applications of computer vision. Color can provide an efficient visual feature for tracking non-rigid objects in real-time. The color is chosen as tracking feature to make the process scale and rotation invariant. The color of an object can vary over time due to variations in the illumination conditions, the visual angle and the camera parameters. This paper presents the integration of color distributions into particle filtering. The color feature is extracted using our novel 4D color histogram of the image, which is determined using JND color similarity threshold and connectivity of the neighboring pixels. Particle filter tracks several hypotheses simultaneously and weighs them according to their similarity to the target model. The popular Bhattacharyya coefficient is used as similarity measure between two color distributions. The tracking results are compared on the basis of precision over the data set of video sequences from the website http://visualtracking.net of CVPR13 bench marking paper. The proposed tracker yields better precision values as compared to previous reported results
Multidimensional schema for agricultural data warehouseeSAT Journals
Abstract Agriculture is one of the important issues for a nation’s economy and it required technical breakthroughs in this century. With today’s computerized world, the agricultural data processing is an increasing need for formers and decision makers. Agricultural data is diversified, complex and non-standard. Developing a data warehouse for agricultural is a key challenge for researchers. The objective of this work is to design a data warehouse about crops and their requirements. The proposed data warehouse may be extended to Decision Support System (DSS) combine with data mining techniques. We proposed a multidimensional data warehouse for agriculture that provides solutions for farmers and gives response of their ad-hoc quires. This multidimensional schema further promotes star schema and snowflake schema that are commonly used to design data warehouses. In our manuscript normalization is applied to store the data in to star schema and duplicate values are removed, so that space and time complexities could be minimized. Index Terms: Agriculture, Data Warehouse, Multidimensional Schema, Dimensional Modeling, OLAP
Abstract This paper introduces WRIST WATCH WITH EMBEDDED SYSTEMS- a wrist watch having all the functions of a cell phone. The services include- (1). Calling, (2). Video recording, (3). Image capturing, (4). Voice recording, (5). Song recording, (6). Media player, (7). Game, (8). Internet connectivity, (9). Calculator, (10). FM and AM radio connection, (11). Message transmission and receiving. The same wrist watch will also act as medical test equipment. The types of test that can be incorporated are- (1). Blood test, (2). Different types of disease detection and daily control analysis. Collectively the wrist watch can be used as a modern cell phone having all the facilities we can inherit and also it can use as for managing or analyzing the daily common diseases.
Experimental studies on laterite soil stabilized with cement and aggregateeSAT Journals
Abstract The subgrade must be able to support loads transmitted from pavement structure without excessive deformation under adverse climatic and traffic conditions to increase the life of the pavement. It is a well known fact that, all soils do not possess all the desirable qualities for using it as good quality pavement material. When such soils cannot be replaced, its subgrade performance should be increased by several modification techniques. The place where ground water table is high, the strength of subgrade is adversely affected by moisture infiltration to subgrade and base due to capillary action. The purpose of this paper is to evaluate the use of low contents of cement and aggregate in the modification of a lateritic soil properties concerning the behavior of mixtures to use in the base construction. In the present study an effort is made to obtain the optimum dosage of cement for stabilization of locally available lateritic soil. The study incorporates investigations on basic properties of soil. Then the investigations are carried out to study the effect of addition of 10 mm down aggregates to the soil properties added in addition to the obtained optimum cement content to evaluate the extent of modification on MDD, OMC and CBR of the soil. The experimental investigations shown that there is a tremendous increase in the CBR value of the soil treated with cement-aggregate modification. After conducting all the tests see whether it’s strength is suitable for base coarse. In addition, the field cost analysis is also made to compare the cost of construction for various modifications used. Keywords: lateritic soil 1, Cement 2, Aggregates3, Stabilization4 and CBR5
Firing patterns and its effect on muckpile shape parameters and fragmentation...eSAT Journals
Abstract Proper use of firing pattern vis-à-vis the blast requirements can provide optimal blast performance in terms of fragmentation, throw, wall control etc. This is largely attributed to the importance of firing burden in any blast round. By changing the firing patterns the firing burden, and, thereby the ratio of spacing to burden is also subject to change. Proper initiation timing is as important for fragmentation as the burden, spacing, sub drilling, stemming etc. Simultaneous initiation leads to the problems, such as, coarser fragmentation, blasting of a large number of holes at a given time which leads to the other problems. The present research study which was conducted in three limestone quarries where major problems such as of improper fragmentation, poor wall control, and poor heave characteristics of the muckpile were observed. Designed firing pattern was not able to provide the requisite fragmentation, and, even the throw. Modifications in firing pattern were implemented to obtain the required blast results. Keywords: Firing pattern, fragmentation, progressive relief, throw, drop, muckpile
Efficient usage of memory management in big data using “anti caching”eSAT Journals
Abstract The Increase in the capacity of main memory coupled with the decrease in cost has fueled the development of in-memory database systems that mange data entirely in memory, thereby eliminating the disk I/O bottleneck. However, the present system in the Big Data era, maintaining all data in memory is impossible and even unnecessary. Ideally they would like to have the high access speed of memory, with the large capacity and low price of disk. This hinges on the ability to effectively utilize both the main memory and disk. In this paper, analyze State-of-the-art approach to achieving this goal for in –memory databases, which is called as “Anti-Caching” to distinguish it from traditional caching mechanisms. Extensive experiments were conducted to study the effect of each fine-grained component of the entire process of “Anti-Caching” on both performance and prediction accuracy. To avoid the interfaces from other unrelated components of specific systems, these approaches are implemented on a uniform platform to ensure a fair comparison, they also study the usability of each approach, and how intrusive it is to the systems that intend to incorporate it. Based on results, some guidelines on designing a good “Anti-Caching” approach and sketch a general and efficient approach which can be utilized in most in-memory database systems without much code modification. Key Words: Caching, Anti-Caching, State-of-the-art approach, in-memory database systems.
A study of localized algorithm for self organized wireless sensor network and...eSAT Journals
1. The document discusses localized algorithms for self-organized wireless sensor networks and analyzes the Algorithm for Cluster Establishment (ACE). ACE is an emergent algorithm that allows nodes to assess their potential as cluster heads and step down if another node is better.
2. ACE works through iterations of spawning new clusters and migration of existing ones. Migration selects the best candidate cluster head based on number of followers. Parameters like the spawning threshold function are also discussed.
3. The performance of ACE is evaluated through simulations comparing average cluster size and standard deviation for different parameters and iterations. Figures and tables show the clustering process and outputs of sensor nodes for different data sets.
Effect of concentration on structural and optical properties of cu s thin filmseSAT Journals
Abstract Thin films of Copper sulphide were deposited on glass substrates using chemical bath deposition technique at room temperature from the aqueous solution containing different concentration of copper sulphate between 0.05M and 0.15M. The effects of the copper concentration of the chemical bath on structural and optical properties of the amorphous thin film were investigated and discussed. The optical absorption and transmission of the thin films were observed between of 330-1100nm taken at room temperature. The optical band gaps of the as-synthesized copper sulphide thin film for various concentrations were measured. The surface morphology has been observed using scanning electron microscopy (SEM) and atomic force microscopy (AFM). The results obtained from AFM demonstrated that the reflectivity was closely related to the surface roughness of the film. High surface roughness has a strong scattering effect on light and lowers the reflectivity. X-ray diffraction (XRD) patterns show that crystallinities of the films are dependent on the copper concentration in the solution. Keywords: Copper sulphide, CBD; XRD; AFM; SEM; Thin films
A robust dlqg controller for damping of sub synchronous oscillations in a ser...eSAT Journals
Abstract This paper investigates the use of Discrete Linear Quadratic Gaussian (DLQG) Compensator to damp sub synchronous oscillations in a Thyrisor Controlled Series Capacitor (TCSC) compensated power system. The study is conducted on IEEE First Benchmark Model (FBM) in which, TCSC is modelled as a discrete linear time-invariant modular unit in the synchronously rotating DQ reference frame. This modular TCSC is then integrated with the Linear Time Invariant (LTI) model of the rest of the system. The design of DLQG includes the design of a Kalman filter for full state estimation and a full state feedback for control. Since the order of the controller is as large as the order of the system considered here(27 states), the practical implementation of the controller is difficult. Hence by using Hankels norm approximation technique, the order of the controller is reduced from 27 to 15 without losing the significant system dynamics. The eigen analysis of the system shows that the use of DLQG can damp torsional oscillations as well as the swing mode oscillations simultaneously, which is practically difficult for a conventional sub-synchronous damping controller. The performance of the system with DLQG is appreciable for all operating conditions and it shows the robustness of the controller. Index Terms: Sub-Synchronous Resonance (SSR), Torsional Oscillations, Thyristor Controlled Series Capacitor (TCSC), Discrete Linear Quadratic Gaussian(DLQG)Compensator, Model Order Reduction (MOR).
Nonlinear fe modelling of anchorage bond in reinforced concreteeSAT Journals
Abstract The transfer of forces from the surrounding concrete to the reinforcing bars in reinforced concrete (RC) can be influenced by several parameters. In this paper an attempt has been made to study the influence of specimen geometry, bar diameter, strength of concrete, lateral confinement and embedment length on the bond properties of concrete. The embedment length of the bar was varied between 50mm and 400mm by varying the diameter of the bar, strength of concrete and lateral confinement. The different bar diameters of 16, 20 and 25mm were selected along with three different concrete strengths of 25, 40 and 65MPa. The specimens with the above parameters were modeled by using a nonlinear finite element analysis package. It has been found that for the same geometry, the specimens with small bond length exhibited high bond strength. With the range of bar diameters considered the bond strength of concrete decreases as the diameter of the bar increases. The splitting failure has been observed in unconfined concrete, while the pullout failure was predominant when the concrete laterally confined. In case of large embedment length, the post peak plateau is prolonged with small diameter bars when compared to the large diameter bars. The descending branch of the bond stress-slip response with large diameter bars has been found to be steep. Keywords: Bond Stress, FE Analysis, Embedment Length, Confinement, Bar Diameter, Pull-out Specimens.
Effect on compressive strength of concrete using sea sand as a partial replac...eSAT Journals
Abstract Concrete is a major construction material used in the construction now a days. It is a composite material containing cement, fine aggregate, coarse aggregate and water. Fine aggregate is required in large quantities for manufacturing of concrete. Generally river sand is used as a fine aggregate. Due to increase in the utilization of concrete in construction sector, the need for river sand has been increased enormously. Limitations have been laid on the large scale mining of river sand from river beds. In this context there are cases of illegal mixing of sea sand with river sand. This paper mainly presents the practical study of the compressive strength of the concrete in which sea sand was used as fine aggregate is partially or completely replaced. For this study first control specimens were laid for M20 grade concrete. The fine aggregate proportion from the design mix was replaced partially in percentages of 20%, 40%, 60%, 80% and 100% by sea sand. Compressive strength test was conducted on the various concrete specimens with various fine aggregate proportions and the results were tabulated. The compressive strengths of concrete specimens for respective mix proportions were tested at 7, 14 and 28 days of water curing. The behavior of concrete by partial replacement of fine aggregate with sea sand has been studied. With the increase in the percentage of sea sand replacement in concrete, the compressive strength of the concrete significantly reduced. Keywords: Concrete, Fine Aggregate, sea sand, Compressive strength
Analysis and simulation of rayleigh fading channel in digital communicationeSAT Journals
This document analyzes and simulates Rayleigh fading channels for digital communication systems using various modulation techniques. It begins by introducing Rayleigh fading channels and describing how they are modeled. It then analyzes the probability of bit error for digital modulation schemes like BPSK, QPSK, MPSK, and MQAM in Rayleigh fading channels. MATLAB simulations are used to plot constellations and signal power for M-QAM modulation. The document also analyzes the Joint Tactical Information Distribution System (JTIDS) and simulates its performance over Rayleigh fading channels. It concludes by discussing the results and potential for future work analyzing additional modulation techniques.
Measurement model of software quality in user’s perceptioneSAT Journals
Abstract An increasing emphasis on consumer demand and expanded development budgets of software development firms fuel the need to upgrade software quality. Software quality is largely measured by quality standards and guidelines. This paper presents a method for modeling users’ perception of software quality. The method aims to improve the quality of data derived from user opinion surveys and facilitate the analysis of such data. The proposed model offers a way to measure users’ opinion in early stages of product release and a way of predicting the opinion subsequently formed after their opinion revisions using the initial measurements. Therefore, this work develops a conceptual software quality measurement model for evaluating software quality to decrease the perceptive and expectative (or quality) measuring gap between a software development firm and the end user’s requirements. Index Terms: Software quality, Software development, Quality Measurement, Quality Evaluations, & Quality Attributes
Behavior of combination of coconut fiber and recron fiber in concreteeSAT Journals
Abstract
Concrete is strong in compression, as aggregate efficiently carries the compression load. However, it is weak in tension as the
cement holding the aggregate in place can crack, allowing the structure to fail. This weakness had been adjusted over many
decades by using a system of reinforcing bars (rebar) to create reinforced concrete; so that concrete primarily resists compressive
stresses and rebar resist tensile and shear stresses and rebar resist tensile and shear stresses. It has been recognised that addition
of small, closely spaced and uniformly distributed fibres to concrete would act as a crack arrester and would significantly
improve the its static and dynamic properties
Keywords: fibre, shear stresses, rebar, concrete
Camera based attack detection and prevention tech niques on android mobile ph...eSAT Journals
Abstract Mobile phone security has become an important aspect of security issues in wireless multimedia communications. In this paper, we focus on security issues related to mobile phone cameras. Specifically, we discover several new attacks that are based on the use of phone cameras. We implement the attacks on real phones, and demonstrate the feasibility and effectiveness of the attacks. Furthermore, we propose a lightweight defense scheme that can effectively detect these attacks. In this paper, we are going to develop an Android application such that when a user loses his/her phone, the spy camera could be launched via remote control and capture what the thief looks like as well as the surrounding environment. Then the pictures or videos along with location information (GPS coordinates) can be sent back to the device owner so that the owner can pinpoint the thief and get the phone back. We conduct a survey on the threats and benefits of spy cameras. Then we present the basic attack model and two camera based attacks: the remote- controlled real time monitoring attack and the pass code inference attack. We run these attacks along with popular antivirus software to test their stealthiness, and conduct experiment to evaluate both types of attack. Keywords: Passcode inference, limbus, eye tracking, remote controlled
Evaluation of rigid pavements by deflection approacheSAT Journals
This document discusses using the Benkelman Beam Deflection (BBD) technique to evaluate rigid pavements by measuring load transfer efficiency (LTE) across joints. The BBD technique involves using two Benkelman beams placed on adjacent slabs - one loaded and one unloaded - to measure deflections when a load passes over. LTE is calculated as the ratio of the unloaded slab deflection to loaded slab deflection. The document applies this method to a rigid pavement in Pune, India, finding LTE values ranging from 31-43% across slabs, with a characteristic LTE of 37.11%. It concludes the BBD technique can provide information on dowel bar performance in rigid pavements.
Modelling of next zen memory cell using low power consuming high speed nano d...eSAT Journals
Abstract Hybrid SET-CMOS circuits which syndicate the assets of both the SET [Single Electron Transistor] and CMOS depicts highest possibilities to be incorporated in practical implementation for future low power VLSI/ULSI configurations. The proposed work is an attempt based on SET-CMOS hybrid circuit to realize the next gen simple Memory Cell. The authors adhered to MIB model for SET and BSIM4 model for CMOS in realizing the complex cell. The maneuver of the proposed circuit is verified subsequently in standard environment. The outcomes are in good trade off with the conventional statistics of existing memory cell. Keywords: SET, SED, Hybrid CMOS-SET, MIB and Memory Cell
Economics of a high performance solar distilled water planteSAT Journals
Abstract In this paper, economic analysis of a high performance solar energy operated distilled water plant is presented. The monthly and the annual productivity of the high performance plant is compared with that of a conventional basin type solar still of equal size and material. The cost of the distilled water produced is determined by uniform cost analysis method. The analysis revealed that the production cost of the distilled water produced per litre by the high performance plant is Rs.5.07, whereas that for the conventional still is Rs.7.90 when the market cost is Rs.20.00. The high performance solar distilled water plant can be a very economical, cost effective, minimum maintenance and the zero energy cost option. Moreover, there is no pollution involved. Keywords: Distilled water, solar still, porous absorber, economic analysis and high performance.
Effect of wind load on tall buildings in different terrain categoryeSAT Journals
This document analyzes the effect of wind load on tall buildings in different terrain categories. Three building models of varying heights (11, 21, and 31 stories) were analyzed using ETABS software. The results show that deflection increases with building height and is highest in terrain category 1 (open terrain), being up to 38% higher than in category 4 (terrain with numerous obstructions). Deflection also increases with height within each building, with the top floors experiencing the greatest displacement. As building height and terrain openness increase, deflection from wind load rises substantially.
Evaluation of anthropogenic activities in udyavara river basin, south west co...eSAT Journals
Abstract River environment is one of the highly water yielding place for present generation. It is influenced by geomorphic processes like shoreline erosion, siltation, sedimentation, flooding etc. Modification in river ecology is also influenced by the estuaries and sea. Most of the population will be alongside the river basin fetching river water for daily use. In this project work, Udyavara river basin is taken into consideration which is also prevailing at the coastal belt of Karnataka in Udupi district. Udyavara River incorporates the catchment that feed into the estuaries, coastlines and the groundwater that underlies the river basin. Increasing population, industrialization, solid waste dumping and improper sanitary conditions may contaminate the river water for future use. This study considers implementing of measures aimed at maintaining and improving the aquatic environment by restriction to adverse anthropogenic activities. Recently environmental problems have arisen in the river basin which is leading to monitoring and settling environmental objectives for groundwater and surface water pollution. The overall objective of the present study is to prevent deterioration and achieve environmental improvement. It can be concluded based on the results that environmental problems can be solved in this stage and sustainability can be achieved. Keywords: Udyavara River Basin, anthropogenic activities, third order, riverine environment, water pollution, water quality
This document presents a methodology for real-time object tracking using a webcam. It combines Prewitt edge detection for object detection and Kalman filtering for tracking. Prewitt edge detection is used to detect the edges of the moving object in each video frame. Then, Kalman filtering is used to track the detected object across subsequent frames by predicting its location. Experiments show the approach can efficiently track objects under deformation, occlusion, and can track multiple objects simultaneously. The combination of Prewitt edge detection and Kalman filtering provides an effective method for real-time object tracking.
Comparative performance analysis of segmentation techniquesIAEME Publication
This document compares the performance of several image segmentation techniques: global thresholding, adaptive thresholding, region growing, and level set segmentation. It applies these techniques to medical and synthetic images corrupted with noise and evaluates the segmentation results using binary classification metrics like sensitivity, specificity, accuracy, and precision. The results show that level set segmentation best preserves object boundaries, adaptive thresholding captures most image details, and global thresholding has the highest success rate at extracting regions of interest. Overall, the study aims to determine the optimal segmentation method for medical images from CT scans.
A NOVEL PROBABILISTIC BASED IMAGE SEGMENTATION MODEL FOR REALTIME HUMAN ACTIV...sipij
Automatic human activity detection is one of the difficult tasks in image segmentation application due to
variations in size, type, shape and location of objects. In the traditional probabilistic graphical
segmentation models, intra and inter region segments may affect the overall segmentation accuracy. Also,
both directed and undirected graphical models such as Markov model, conditional random field have
limitations towards the human activity prediction and heterogeneous relationships. In this paper, we have
studied and proposed a natural solution for automatic human activity segmentation using the enhanced
probabilistic chain graphical model. This system has three main phases, namely activity pre-processing,
iterative threshold based image enhancement and chain graph segmentation algorithm. Experimental
results show that proposed system efficiently detects the human activities at different levels of the action
datasets.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
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International Journal of Computational Engineering Research(IJCER) ijceronline
This document presents a hybrid methodology for classifying segmented images using both unsupervised and supervised classification techniques. The proposed methodology involves first segmenting the image into spectrally homogeneous regions using region growing segmentation. Then, a clustering algorithm is applied to the segmented regions for initial classification. Selected regions are used as training data for a supervised classification algorithm to further categorize the image. The hybrid approach combines the benefits of unsupervised clustering and supervised classification. The methodology is evaluated on natural and aerial images to compare its performance to existing seeded region growing and texture extraction segmentation methods.
Object extraction using edge, motion and saliency information from videoseSAT Journals
Abstract Object detection is a process of finding the instances of object of a certain class which is useful in analysis of video or image. There are number of algorithms have been developed so far for object detection. Object detection has got significant role in variety of areas of computer vision like video surveillance, image retrieval`. In this paper presented an efficient algorithm for moving object extraction using edge, motion and saliency information from videos. Out methodology includes 4 stages: Frame generation, Pre-processing, Foreground generation and integration of cues. Foreground generation includes edge detection using sobel edge detection algorithm, motion detection using pixel-based absolute difference algorithm and motion saliency detection. Conditional Random Field (CRF) is applied for integration of cues and thus we get better spatial information of segmented object. Keywords: Object detection, Saliency information, Sobel edge detection, CRF.
Image Segmentation from RGBD Images by 3D Point Cloud Attributes and High-Lev...CSCJournals
The document describes an image segmentation algorithm that uses both color and depth features extracted from RGBD images captured by a Kinect sensor. The algorithm clusters pixels into segments based on their color, texture, 3D spatial coordinates, surface normals, and the output of a graph-based segmentation algorithm. Depth features help resolve illumination issues and occlusion that cannot be handled by color-only methods. The algorithm was tested on commercial building images and showed potential for real-time applications.
Adaptive Image Contrast with Binarization Technique for Degraded Document Imagetheijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
Theoretical work submitted to the Journal should be original in its motivation or modeling structure. Empirical analysis should be based on a theoretical framework and should be capable of replication. It is expected that all materials required for replication (including computer programs and data sets) should be available upon request to the authors.
The International Journal of Engineering & Science would take much care in making your article published without much delay with your kind cooperation
An efficient image segmentation approach through enhanced watershed algorithmAlexander Decker
This document proposes an efficient image segmentation approach combining an enhanced watershed algorithm and color histogram analysis. The watershed algorithm is applied to preprocessed images after merging the results with an enhanced edge detection. Over-segmentation issues are addressed through a post-processing step applying color histogram analysis to each segmented region, improving overall performance. The document provides background on image segmentation techniques, reviews related work applying watershed algorithms, and discusses challenges like over-segmentation that watershed approaches can face.
This document provides a survey of various image segmentation techniques used in image processing. It begins with an introduction to image segmentation and its importance in fields like pattern recognition and medical imaging. It then categorizes and describes different segmentation approaches like edge-based, threshold-based, region-based, etc. The literature survey section summarizes several papers on specific segmentation algorithms or applications. It concludes with a table comparing the advantages and disadvantages of different segmentation techniques. The overall document aims to provide an overview of segmentation methods and their uses in computer vision.
A Survey on Image Segmentation and its Applications in Image Processing IJEEE
As technology grows day by day computer vision becomes a vital field of understanding the behavior of an image. Image segmentation is a sub field of computer vision that deals with the partition of objects into number of segments. Image segmentation found a huge application in pattern reorganization, texture analysis as well as in medial image processing. This paper focus on distinct sort of image segmentation techniques that are utilized in computer vision. Thus a survey has been created for various image segmentation techniques that describe the importance of the same. Comparison and conclusion has been created within the finish of this paper.
Review of Image Segmentation Techniques based on Region Merging ApproachEditor IJMTER
Image segmentation is an important task in computer vision and object recognition. Since
fully automatic image segmentation is usually very hard for natural images, interactive schemes with a
few simple user inputs are good solutions. In image segmentation the image is dividing into various
segments for processing images. The complexity of image content is a bigger challenge for carrying out
automatic image segmentation. On regions based scheme, the images are merged based on the similarity
criteria depending upon comparing the mean values of both the regions to be merged. So, the similar
regions are then merged and the dissimilar regions are merged together.
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity
Abstract Edge detection is a fundamental tool used in most image processing applications. We proposed a simple, fast and efficient technique to detect the edge for the identifying, locating sharp discontinuities in an image and boundary of an image. In this paper, we found that proposed method called LookUp Table performs well, which requires least computational time as compared to conventional Edge Detection techniques. And also in this paper we presented a comparative performance of various conventional Edge Detection Techniques. Keywords: Edge detectors, Lookup table.
Image fusion using nsct denoising and target extraction for visual surveillanceeSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Analysis and Comparison of various Methods for Text Detection from Images usi...rahulmonikasharma
In this paper analysis and comparison of various methods for text detection is carried by using canny edge detection algorithm and MSER based method along with the image enhancement which results in the improved performance in terms of text detection. In addition, we improve current MSERs by developing a contrast enhancement mechanism that enhances region stability of text patterns to remove the blurring caused during the capture of image Lucy Richardson de blurring Algorithm is used.
Multitude Regional Texture Extraction for Efficient Medical Image Segmentationinventionjournals
Image processing plays a major role in evaluation of images in many concerns. Manual interpretation of the image is time consuming process and it is susceptible to human errors. Computer assisted approaches for analyzing the images have increased in latest evolution of image processing. Also it has highlighted its performance more in the field of medical sciences. Many techniques are available for the involvement in processing of images, evaluation, extraction etc. The main goal of image segmentation is cluster pixeling the regions corresponding to individual surfaces, objects, or natural parts of objects and to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. The proposed method is to conquer segmentation and texture extraction with Regional and Multitude and techniques involved in it. Ultrasound (US) is increasingly considered as a viable alternative imaging modality in computer-assisted brain segmentation and disease diagnosis applications.First for ultra sound we present region based segmentation.Homogeneous regions depends on image granularity features. Second a local threshold based multitude texture regional seed segmentation for medical image segmentation is proposed. Here extraction is done with dimensions comparable to the speckle size are to be extracted. The algorithm provides a less medical metrics awareness in a minimum user interaction environment. The shape and size of the growing regions depend on look up table entries.
This document discusses techniques for image segmentation and edge detection. It proposes a generalized boundary detection method called Gb that combines low-level and mid-level image representations in a single eigenvalue problem to detect boundaries. Gb achieves state-of-the-art results at low computational cost. Soft segmentation is also introduced to improve boundary detection accuracy with minimal extra computation. Common methods for edge detection are described, including gradient-based, texture-based, and projection profile-based approaches. Improved Harris and corner detection algorithms are presented to more accurately detect edges and corners. The output of Gb using soft segmentations as input is shown to correlate well with occlusions and whole object boundaries while capturing general boundaries.
Performance of Efficient Closed-Form Solution to Comprehensive Frontier Exposureiosrjce
This document discusses boundary detection techniques for images. It proposes a generalized boundary detection method (Gb) that combines low-level and mid-level image representations in a single eigenvalue problem to detect boundaries. Gb achieves state-of-the-art results at low computational cost. Soft segmentation and contour grouping methods are also introduced to further improve boundary detection accuracy with minimal extra computation. The document presents outputs of Gb on sample images and concludes that Gb effectively detects boundaries in a principled manner by jointly resolving constraints from multiple image interpretation layers in closed form.
REGION CLASSIFICATION AND CHANGE DETECTION USING LANSAT-8 IMAGESADEIJ Journal
The change detection in remote sensing images remains an important and open problem for damage assessment. A new change detection method for LANSAT-8 images based on homogeneous pixel transformation (HPT) is proposed. Homogeneous Pixel Transformation transfers one image from its original feature space (e.g., gray space) to another feature space (e.g., spectral space) in pixel-level to make the pre-event images and post-event images to be represented in a common space or projection space for the convenience of change detection. HPT consists of two operations, i.e., forward transformation and backward transformation. In the forward transformation, each pixel of pre-event image in the first feature space is taken and will estimate its mapping pixel in the second space corresponding to post-event image based on the known unchanged pixels. A multi-value estimation method with the noise tolerance is produced to determine the mapping pixel using K-nearest neighbours technique. Once the mapping pixels of pre-event image are identified, the difference values between the mapping image and the post-event image can be directly generated. Then the similar work is done for backward transformation to combine the post-event image with the first space, and one more difference value for each pixel will be generated. Then, the two difference values are taken and combined to improve the robustness of detection with respect to the noise and heterogeneousness of images. (FRFCM) Fast and Robust Fuzzy C-means clustering algorithm is employed to divide the integrated difference values into two clusters- changed pixels and unchanged pixels. This detection results may contain few noisy regions as small error detections, and a spatial-neighbor based noise filter is developed to reduce the false alarms and missing detections. The experiments for change detection with real images of LANSAT-8 in Tuticorin between 2013-2019 are given to validate the percentage of the changed regions in the proposed method.
Similar to A novel predicate for active region merging in automatic image segmentation (20)
Mechanical properties of hybrid fiber reinforced concrete for pavementseSAT Journals
Abstract
The effect of addition of mono fibers and hybrid fibers on the mechanical properties of concrete mixture is studied in the present
investigation. Steel fibers of 1% and polypropylene fibers 0.036% were added individually to the concrete mixture as mono fibers and
then they were added together to form a hybrid fiber reinforced concrete. Mechanical properties such as compressive, split tensile and
flexural strength were determined. The results show that hybrid fibers improve the compressive strength marginally as compared to
mono fibers. Whereas, hybridization improves split tensile strength and flexural strength noticeably.
Keywords:-Hybridization, mono fibers, steel fiber, polypropylene fiber, Improvement in mechanical properties.
Material management in construction – a case studyeSAT Journals
Abstract
The objective of the present study is to understand about all the problems occurring in the company because of improper application
of material management. In construction project operation, often there is a project cost variance in terms of the material, equipments,
manpower, subcontractor, overhead cost, and general condition. Material is the main component in construction projects. Therefore,
if the material management is not properly managed it will create a project cost variance. Project cost can be controlled by taking
corrective actions towards the cost variance. Therefore a methodology is used to diagnose and evaluate the procurement process
involved in material management and launch a continuous improvement was developed and applied. A thorough study was carried
out along with study of cases, surveys and interviews to professionals involved in this area. As a result, a methodology for diagnosis
and improvement was proposed and tested in selected projects. The results obtained show that the main problem of procurement is
related to schedule delays and lack of specified quality for the project. To prevent this situation it is often necessary to dedicate
important resources like money, personnel, time, etc. To monitor and control the process. A great potential for improvement was
detected if state of the art technologies such as, electronic mail, electronic data interchange (EDI), and analysis were applied to the
procurement process. These helped to eliminate the root causes for many types of problems that were detected.
Managing drought short term strategies in semi arid regions a case studyeSAT Journals
Abstract
Drought management needs multidisciplinary action. Interdisciplinary efforts among the experts in various fields of the droughts
prone areas are helpful to achieve tangible and permanent solution for this recurring problem. The Gulbarga district having the total
area around 16, 240 sq.km, and accounts 8.45 per cent of the Karnataka state area. The district has been situated with latitude 17º 19'
60" North and longitude of 76 º 49' 60" east. The district is situated entirely on the Deccan plateau positioned at a height of 300 to
750 m above MSL. Sub-tropical, semi-arid type is one among the drought prone districts of Karnataka State. The drought
management is very important for a district like Gulbarga. In this paper various short term strategies are discussed to mitigate the
drought condition in the district.
Keywords: Drought, South-West monsoon, Semi-Arid, Rainfall, Strategies etc.
Life cycle cost analysis of overlay for an urban road in bangaloreeSAT Journals
Abstract
Pavements are subjected to severe condition of stresses and weathering effects from the day they are constructed and opened to traffic
mainly due to its fatigue behavior and environmental effects. Therefore, pavement rehabilitation is one of the most important
components of entire road systems. This paper highlights the design of concrete pavement with added mono fibers like polypropylene,
steel and hybrid fibres for a widened portion of existing concrete pavement and various overlay alternatives for an existing
bituminous pavement in an urban road in Bangalore. Along with this, Life cycle cost analyses at these sections are done by Net
Present Value (NPV) method to identify the most feasible option. The results show that though the initial cost of construction of
concrete overlay is high, over a period of time it prove to be better than the bituminous overlay considering the whole life cycle cost.
The economic analysis also indicates that, out of the three fibre options, hybrid reinforced concrete would be economical without
compromising the performance of the pavement.
Keywords: - Fatigue, Life cycle cost analysis, Net Present Value method, Overlay, Rehabilitation
Laboratory studies of dense bituminous mixes ii with reclaimed asphalt materialseSAT Journals
Abstract
The issue of growing demand on our nation’s roadways over that past couple of decades, decreasing budgetary funds, and the need to
provide a safe, efficient, and cost effective roadway system has led to a dramatic increase in the need to rehabilitate our existing
pavements and the issue of building sustainable road infrastructure in India. With these emergency of the mentioned needs and this
are today’s burning issue and has become the purpose of the study.
In the present study, the samples of existing bituminous layer materials were collected from NH-48(Devahalli to Hassan) site.The
mixtures were designed by Marshall Method as per Asphalt institute (MS-II) at 20% and 30% Reclaimed Asphalt Pavement (RAP).
RAP material was blended with virgin aggregate such that all specimens tested for the, Dense Bituminous Macadam-II (DBM-II)
gradation as per Ministry of Roads, Transport, and Highways (MoRT&H) and cost analysis were carried out to know the economics.
Laboratory results and analysis showed the use of recycled materials showed significant variability in Marshall Stability, and the
variability increased with the increase in RAP content. The saving can be realized from utilization of recycled materials as per the
methodology, the reduction in the total cost is 19%, 30%, comparing with the virgin mixes.
Keywords: Reclaimed Asphalt Pavement, Marshall Stability, MS-II, Dense Bituminous Macadam-II
Laboratory investigation of expansive soil stabilized with natural inorganic ...eSAT Journals
This document summarizes a study on stabilizing expansive black cotton soil with the natural inorganic stabilizer RBI-81. Laboratory tests were conducted to evaluate the effect of RBI-81 on the soil's engineering properties. The tests showed that with 2% RBI-81 and 28 days of curing, the unconfined compressive strength increased by around 250% and the CBR value improved by approximately 400% compared to the untreated soil. Overall, the study found that RBI-81 effectively improved the strength properties of the black cotton soil and its suitability as a soil stabilizer was supported.
Influence of reinforcement on the behavior of hollow concrete block masonry p...eSAT Journals
Abstract
Reinforced masonry was developed to exploit the strength potential of masonry and to solve its lack of tensile strength. Experimental
and analytical studies have been carried out to investigate the effect of reinforcement on the behavior of hollow concrete block
masonry prisms under compression and to predict ultimate failure compressive strength. In the numerical program, three dimensional
non-linear finite elements (FE) model based on the micro-modeling approach is developed for both unreinforced and reinforced
masonry prisms using ANSYS (14.5). The proposed FE model uses multi-linear stress-strain relationships to model the non-linear
behavior of hollow concrete block, mortar, and grout. Willam-Warnke’s five parameter failure theory has been adopted to model the
failure of masonry materials. The comparison of the numerical and experimental results indicates that the FE models can successfully
capture the highly nonlinear behavior of the physical specimens and accurately predict their strength and failure mechanisms.
Keywords: Structural masonry, Hollow concrete block prism, grout, Compression failure, Finite element method,
Numerical modeling.
Influence of compaction energy on soil stabilized with chemical stabilizereSAT Journals
This document summarizes a study on the influence of compaction energy on soil stabilized with a chemical stabilizer. Laboratory tests were conducted on locally available loamy soil treated with a patented polymer liquid stabilizer and compacted at four different energy levels. The study found that increasing the compaction effort increased the density of both untreated and treated soil, but the rate of increase was lower for stabilized soil. Treating the soil with the stabilizer improved its unconfined compressive strength and resilient modulus, and reduced accumulated plastic strain, with these properties further improved by higher compaction efforts. The stabilized soil exhibited strength and performance benefits compared to the untreated soil.
Geographical information system (gis) for water resources managementeSAT Journals
This document describes a hydrological framework developed in the form of a Hydrologic Information System (HIS) to meet the information needs of various government departments related to water management in a state. The HIS consists of a hydrological database coupled with tools for collecting and analyzing spatial and non-spatial water resources data. It also incorporates a hydrological model to indirectly assess water balance components over space and time. A web-based GIS portal was created to allow users to access and visualize the hydrological data, as well as outputs from the SWAT hydrological model. The framework is intended to facilitate integrated water resources planning and management across different administrative levels.
Forest type mapping of bidar forest division, karnataka using geoinformatics ...eSAT Journals
Abstract
The study demonstrate the potentiality of satellite remote sensing technique for the generation of baseline information on forest types
including tree plantation details in Bidar forest division, Karnataka covering an area of 5814.60Sq.Kms. The Total Area of Bidar
forest division is 5814Sq.Kms analysis of the satellite data in the study area reveals that about 84% of the total area is Covered by
crop land, 1.778% of the area is covered by dry deciduous forest, 1.38 % of mixed plantation, which is very threatening to the
environmental stability of the forest, future plantation site has been mapped. With the use of latest Geo-informatics technology proper
and exact condition of the trees can be observed and necessary precautions can be taken for future plantation works in an appropriate
manner
Keywords:-RS, GIS, GPS, Forest Type, Tree Plantation
Factors influencing compressive strength of geopolymer concreteeSAT Journals
Abstract
To study effects of several factors on the properties of fly ash based geopolymer concrete on the compressive strength and also the
cost comparison with the normal concrete. The test variables were molarities of sodium hydroxide(NaOH) 8M,14M and 16M, ratio of
NaOH to sodium silicate (Na2SiO3) 1, 1.5, 2 and 2.5, alkaline liquid to fly ash ratio 0.35 and 0.40 and replacement of water in
Na2SiO3 solution by 10%, 20% and 30% were used in the present study. The test results indicated that the highest compressive
strength 54 MPa was observed for 16M of NaOH, ratio of NaOH to Na2SiO3 2.5 and alkaline liquid to fly ash ratio of 0.35. Lowest
compressive strength of 27 MPa was observed for 8M of NaOH, ratio of NaOH to Na2SiO3 is 1 and alkaline liquid to fly ash ratio of
0.40. Alkaline liquid to fly ash ratio of 0.35, water replacement of 10% and 30% for 8 and 16 molarity of NaOH and has resulted in
compressive strength of 36 MPa and 20 MPa respectively. Superplasticiser dosage of 2 % by weight of fly ash has given higher
strength in all cases.
Keywords: compressive strength, alkaline liquid, fly ash
Experimental investigation on circular hollow steel columns in filled with li...eSAT Journals
Abstract
Composite Circular hollow Steel tubes with and without GFRP infill for three different grades of Light weight concrete are tested for
ultimate load capacity and axial shortening , under Cyclic loading. Steel tubes are compared for different lengths, cross sections and
thickness. Specimens were tested separately after adopting Taguchi’s L9 (Latin Squares) Orthogonal array in order to save the initial
experimental cost on number of specimens and experimental duration. Analysis was carried out using ANN (Artificial Neural
Network) technique with the assistance of Mini Tab- a statistical soft tool. Comparison for predicted, experimental & ANN output is
obtained from linear regression plots. From this research study, it can be concluded that *Cross sectional area of steel tube has most
significant effect on ultimate load carrying capacity, *as length of steel tube increased- load carrying capacity decreased & *ANN
modeling predicted acceptable results. Thus ANN tool can be utilized for predicting ultimate load carrying capacity for composite
columns.
Keywords: Light weight concrete, GFRP, Artificial Neural Network, Linear Regression, Back propagation, orthogonal
Array, Latin Squares
Experimental behavior of circular hsscfrc filled steel tubular columns under ...eSAT Journals
This document summarizes an experimental study that tested circular concrete-filled steel tube columns with varying parameters. 45 specimens were tested with different fiber percentages (0-2%), tube diameter-to-wall-thickness ratios (D/t from 15-25), and length-to-diameter (L/d) ratios (from 2.97-7.04). The results found that columns filled with fiber-reinforced concrete exhibited higher stiffness, equal ductility, and enhanced energy absorption compared to those filled with plain concrete. The load carrying capacity increased with fiber content up to 1.5% but not at 2.0%. The analytical predictions of failure load closely matched the experimental values.
Evaluation of punching shear in flat slabseSAT Journals
Abstract
Flat-slab construction has been widely used in construction today because of many advantages that it offers. The basic philosophy in
the design of flat slab is to consider only gravity forces; this method ignores the effect of punching shear due to unbalanced moments
at the slab column junction which is critical. An attempt has been made to generate generalized design sheets which accounts both
punching shear due to gravity loads and unbalanced moments for cases (a) interior column; (b) edge column (bending perpendicular
to shorter edge); (c) edge column (bending parallel to shorter edge); (d) corner column. These design sheets are prepared as per
codal provisions of IS 456-2000. These design sheets will be helpful in calculating the shear reinforcement to be provided at the
critical section which is ignored in many design offices. Apart from its usefulness in evaluating punching shear and the necessary
shear reinforcement, the design sheets developed will enable the designer to fix the depth of flat slab during the initial phase of the
design.
Keywords: Flat slabs, punching shear, unbalanced moment.
Evaluation of performance of intake tower dam for recent earthquake in indiaeSAT Journals
Abstract
Intake towers are typically tall, hollow, reinforced concrete structures and form entrance to reservoir outlet works. A parametric
study on dynamic behavior of circular cylindrical towers can be carried out to study the effect of depth of submergence, wall thickness
and slenderness ratio, and also effect on tower considering dynamic analysis for time history function of different soil condition and
by Goyal and Chopra accounting interaction effects of added hydrodynamic mass of surrounding and inside water in intake tower of
dam
Key words: Hydrodynamic mass, Depth of submergence, Reservoir, Time history analysis,
Evaluation of operational efficiency of urban road network using travel time ...eSAT Journals
This document evaluates the operational efficiency of an urban road network in Tiruchirappalli, India using travel time reliability measures. Traffic volume and travel times were collected using video data from 8-10 AM on various roads. Average travel times, 95th percentile travel times, and buffer time indexes were calculated to assess reliability. Non-motorized vehicles were found to most impact reliability on one road. A relationship between buffer time index and traffic volume was developed. Finally, a travel time model was created and validated based on length, speed, and volume.
Estimation of surface runoff in nallur amanikere watershed using scs cn methodeSAT Journals
Abstract
The development of watershed aims at productive utilization of all the available natural resources in the entire area extending from
ridge line to stream outlet. The per capita availability of land for cultivation has been decreasing over the years. Therefore, water and
the related land resources must be developed, utilized and managed in an integrated and comprehensive manner. Remote sensing and
GIS techniques are being increasingly used for planning, management and development of natural resources. The study area, Nallur
Amanikere watershed geographically lies between 110 38’ and 110 52’ N latitude and 760 30’ and 760 50’ E longitude with an area of
415.68 Sq. km. The thematic layers such as land use/land cover and soil maps were derived from remotely sensed data and overlayed
through ArcGIS software to assign the curve number on polygon wise. The daily rainfall data of six rain gauge stations in and around
the watershed (2001-2011) was used to estimate the daily runoff from the watershed using Soil Conservation Service - Curve Number
(SCS-CN) method. The runoff estimated from the SCS-CN model was then used to know the variation of runoff potential with different
land use/land cover and with different soil conditions.
Keywords: Watershed, Nallur watershed, Surface runoff, Rainfall-Runoff, SCS-CN, Remote Sensing, GIS.
Estimation of morphometric parameters and runoff using rs & gis techniqueseSAT Journals
This document summarizes a study that used remote sensing and GIS techniques to estimate morphometric parameters and runoff for the Yagachi catchment area in India over a 10-year period. Morphometric analysis was conducted to understand the hydrological response at the micro-watershed level. Daily runoff was estimated using the SCS curve number model. The results showed a positive correlation between rainfall and runoff. Land use/land cover changes between 2001-2010 were found to impact estimated runoff amounts. Remote sensing approaches provided an effective means to model runoff for this large, ungauged area.
Effect of variation of plastic hinge length on the results of non linear anal...eSAT Journals
Abstract The nonlinear Static procedure also well known as pushover analysis is method where in monotonically increasing loads are applied to the structure till the structure is unable to resist any further load. It is a popular tool for seismic performance evaluation of existing and new structures. In literature lot of research has been carried out on conventional pushover analysis and after knowing deficiency efforts have been made to improve it. But actual test results to verify the analytically obtained pushover results are rarely available. It has been found that some amount of variation is always expected to exist in seismic demand prediction of pushover analysis. Initial study is carried out by considering user defined hinge properties and default hinge length. Attempt is being made to assess the variation of pushover analysis results by considering user defined hinge properties and various hinge length formulations available in literature and results compared with experimentally obtained results based on test carried out on a G+2 storied RCC framed structure. For the present study two geometric models viz bare frame and rigid frame model is considered and it is found that the results of pushover analysis are very sensitive to geometric model and hinge length adopted. Keywords: Pushover analysis, Base shear, Displacement, hinge length, moment curvature analysis
Effect of use of recycled materials on indirect tensile strength of asphalt c...eSAT Journals
Abstract
Depletion of natural resources and aggregate quarries for the road construction is a serious problem to procure materials. Hence
recycling or reuse of material is beneficial. On emphasizing development in sustainable construction in the present era, recycling of
asphalt pavements is one of the effective and proven rehabilitation processes. For the laboratory investigations reclaimed asphalt
pavement (RAP) from NH-4 and crumb rubber modified binder (CRMB-55) was used. Foundry waste was used as a replacement to
conventional filler. Laboratory tests were conducted on asphalt concrete mixes with 30, 40, 50, and 60 percent replacement with RAP.
These test results were compared with conventional mixes and asphalt concrete mixes with complete binder extracted RAP
aggregates. Mix design was carried out by Marshall Method. The Marshall Tests indicated highest stability values for asphalt
concrete (AC) mixes with 60% RAP. The optimum binder content (OBC) decreased with increased in RAP in AC mixes. The Indirect
Tensile Strength (ITS) for AC mixes with RAP also was found to be higher when compared to conventional AC mixes at 300C.
Keywords: Reclaimed asphalt pavement, Foundry waste, Recycling, Marshall Stability, Indirect tensile strength.
Gas agency management system project report.pdfKamal Acharya
The project entitled "Gas Agency" is done to make the manual process easier by making it a computerized system for billing and maintaining stock. The Gas Agencies get the order request through phone calls or by personal from their customers and deliver the gas cylinders to their address based on their demand and previous delivery date. This process is made computerized and the customer's name, address and stock details are stored in a database. Based on this the billing for a customer is made simple and easier, since a customer order for gas can be accepted only after completing a certain period from the previous delivery. This can be calculated and billed easily through this. There are two types of delivery like domestic purpose use delivery and commercial purpose use delivery. The bill rate and capacity differs for both. This can be easily maintained and charged accordingly.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Build the Next Generation of Apps with the Einstein 1 Platform.
Rejoignez Philippe Ozil pour une session de workshops qui vous guidera à travers les détails de la plateforme Einstein 1, l'importance des données pour la création d'applications d'intelligence artificielle et les différents outils et technologies que Salesforce propose pour vous apporter tous les bénéfices de l'IA.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
Generative AI Use cases applications solutions and implementation.pdfmahaffeycheryld
Generative AI solutions encompass a range of capabilities from content creation to complex problem-solving across industries. Implementing generative AI involves identifying specific business needs, developing tailored AI models using techniques like GANs and VAEs, and integrating these models into existing workflows. Data quality and continuous model refinement are crucial for effective implementation. Businesses must also consider ethical implications and ensure transparency in AI decision-making. Generative AI's implementation aims to enhance efficiency, creativity, and innovation by leveraging autonomous generation and sophisticated learning algorithms to meet diverse business challenges.
https://www.leewayhertz.com/generative-ai-use-cases-and-applications/
VARIABLE FREQUENCY DRIVE. VFDs are widely used in industrial applications for...PIMR BHOPAL
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A novel predicate for active region merging in automatic image segmentation
1. IJRET: International Journal of Research in Engineering and Technology ISSN: 2319-1163
__________________________________________________________________________________________
Volume: 02 Issue: 04 | Apr-2013, Available @ http://www.ijret.org 542
A NOVEL PREDICATE FOR ACTIVE REGION MERGING IN
AUTOMATIC IMAGE SEGMENTATION
S.Muthamizhselvi1
, D.Jeyakumari2
, R.Kannan3
1
PG Scholar, 2
Associate Professor, 3
Assistant Professor,
1, 2, 3
Department of ECE, RVS college of Engineering and Technology, Coimbatore, Tamilnadu, India
muthamizhselvi24@gmail.com, dgjeyakumari@gmail.com, kannanvlsi@gmail.com
Abstract
Image segmentation is an elementary task in computer vision and image processing. This paper deals with the automatic image
segmentation in a region merging method. Two essential problems in a region merging algorithm: order of merging and the stopping
criterion. These two problems are solved by a novel predicate which is described by the sequential probability ratio test and the
minimal cost criterion. In this paper we propose an Active Region merging algorithm which utilizes the information acquired from
perceiving edges in color images in L*a*b* color space. By means of color gradient recognition method, pixels with no edges are
clustered and considered alone to recognize some preliminary portion of the input image. The color information along with a region
growth map consisting of completely grown regions are used to perform an Active region merging method to combine regions with
similar characteristics. Experiments on real natural images are performed to demonstrate the performance of the proposed Active
region merging method.
Index Terms: Adaptive threshold generation, CIE L*a*b* color gradient, region merging, Sequential Probability Ratio
Test (SPRT).
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1. INTRODUCTION:
For some applications such as image recognition (or) image
compression, we cannot process the whole image directly for
the reason as it is inefficient and impractical. Therefore we are
going for image segmentation before recognition (or)
compression. Image segmentation is a basic yet still a
demanding problem in computer vision and image processing.
Image segmentation is a key process in object recognition,
target tracking, content-based image retrieval, and medical
image processing, video, and computer vision applications like
medical image analysis such as locating tumors and other
pathologies, in locating objects in satellite images, in face
recognition, fingerprint recognition etc. The goal of image
segmentation is to partition an image into a certain number of
pieces that have coherent features (color, texture, etc.) and, in
the meanwhile, to group the meaningful pieces together for the
convenience of perceiving. In many practical applications, as a
large number of images are needed to be handled, human
interactions involved in the segmentation process should be as
less as possible. For this several general-purpose algorithms
and techniques have been developed for image segmentation.
There is a large amount of literature on automatic image
segmentation. For Example, the spatiotemporal segmentation
is to identify the objects present in the scene represented in a
video sequence. This technique processes two consecutive
frames at a time. Regions are merged based on their mutual
spatiotemporal similarity. Modified Kolmogorov -Smirnov
test for estimating the temporal similarity. This test efficiently
uses temporal information in both the residual distribution and
the motion parametric representation. There are two
complementary graph-based clustering rules are proposed,
namely, the strong rule and the weak rule. The weak rule is
applied after the strong rule. It cannot combine the tracking
information into the segmentation process. The objects
forming the scene are not tracked through time [8]. A hybrid
multidimensional image segmentation algorithm, which
combines edge and region-based techniques through the
morphological algorithm of watersheds. An edge-preserving
statistical noise reduction approach is used as a preprocessing
stage in order to compute an accurate estimate of the image
gradient. Then, an initial partitioning of the image into
primitive regions is produced by applying the watershed
transform on the image gradient magnitude. This initial
segmentation is the input to a computationally efficient
hierarchical region merging process that produces the final
segmentation. The latter process uses the region adjacency
graph (RAG) and nearest neighbor graph (NNG)
representation of the image regions. The final segmentation
provides, due to the RAG, one-pixel wide, closed, and
accurately localized contours/surfaces. It does not involve in
the segmentation of moving 3D images [13].
Different algorithms, based on a combination of two structures
of graph and of two color image processing methods, in order
2. IJRET: International Journal of Research in Engineering and Technology ISSN: 2319-1163
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Volume: 02 Issue: 04 | Apr-2013, Available @ http://www.ijret.org 543
to segment color images. The structures used in this study are
the region adjacency graph and the line graph associated. It
shows how these structures can enhance segmentation
processes such as region growing or watershed transformation.
The principal advantage of these structures is that they give
more weight to adjacency relationships between regions than
usual methods [1]. Many tasks in computer vision involve
assigning a label (such as disparity) to every pixel. A common
constraint is that the labels should vary smoothly almost
everywhere while preserving sharp discontinuities that may
exist, e.g., at object boundaries. These tasks are naturally
stated in terms of energy minimization. In this paper, we
consider a wide class of energies with various smoothness
constraints. Global minimization of these energy functions is
NP-hard even in the simplest discontinuity-preserving case.
Two algorithms based on graph cuts that efficiently find a
local minimum with respect to two types of large moves,
namely expansion moves and swap moves. These moves can
simultaneously change the labels of arbitrarily large sets of
pixels. It can find only a local minimum [2].
A database containing „ground truth‟ segmentations produced
by humans for images of a wide variety of natural scenes.
They define an error measure which quantifies the consistency
between segmentations of differing granularities and find that
different human segmentations of the same image are highly
consistent. Use of this dataset is demonstrated in two
applications: (1) evaluating the performance of segmentation
algorithms and (2) measuring probability distributions
associated with Gestalt grouping factors as well as statistics of
image region properties [6]. The technique of scale
multiplication is analyzed in the framework of canny edge
detection. A scale multiplication function is defined as the
product of the responses of the detection filter at two scales.
Edge maps are constructed as the local maxima by
thresholding the scale multiplication results. The detection and
localization criteria of the scale multiplication are derived. At
a small loss in the detection criterion, the localization criterion
can be much improved by scale multiplication. The product of
the two criteria for scale multiplication is greater than that for
a single scale, which leads to better edge detection
performance. [13]
A current level set image segmentation methods, the number
of regions assumed to be known beforehand. As a result, it
remains constant during the optimization of the objective
functional. This study investigates a region merging prior
related to regions area to allow the number of regions to vary
automatically during curve evolution, thereby optimizing the
objective functional implicitly with respect to the number of
regions. The paper gives a statistical interpretation to the
coefficient of this prior to balance its effect systematically
against the other functional terms. They demonstrate the
validity and efficiency of the method by testing on real images
of intensity, color, and motion [4]. The GSEG algorithm is
primarily based on edge detection, dynamic region growth and
multi-resolution region merging [19].
2. PROPOSED METHOD:
The proposed algorithm consists of three steps. First, an edge
detection algorithm is used to produce an edge-map used in
the creation of adaptive gradient thresholds, which selects the
regions of nearby pixels that display similar gradient and color
values, producing an initial segmentation map. Second, a
region growing algorithm is used for growing the regions.
Finally, an active region merging algorithm is used for
merging the similar regions by using a novel predicate P.
Fig -1: Block diagram of the proposed algorithm
2.1 Edge Detection:
The perceived areas with no edges inside them are the
preliminary clusters or seeds selected to initiate the
segmentation of the image. Assuming that an image is a
function f(x, y), the gradient can be defined as its initial
derivative yfxff ; . For a vector field f, the
gradient vector to be,
xx
xx
xD
fDfD
fDfD
mnm
n
....................
...................
1
111
(1)
where Djfk is the first partial derivative of the kth component
of f with respect to the jth component of x. For a three-
channel color image, the gradient can be calculated as: let
a,b,c denotes each color channel and x,y denote the spatial
coordinates for a pixel. It is expressed as:
Input image
Color space conversion
Adaptive Threshold Generation
Region Growing
Active Region Merged
image
3. IJRET: International Journal of Research in Engineering and Technology ISSN: 2319-1163
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Volume: 02 Issue: 04 | Apr-2013, Available @ http://www.ijret.org 544
222
dx
dc
dx
db
dx
da
u
(2)
dy
dc
dx
dc
dy
db
dx
db
dy
da
dx
da
v
(3)
222
dy
dc
dy
db
dy
da
w
(4)
2.2 Adaptive Threshold Generation:
The Active Region Merging algorithm is started with a color
space conversion of the input image from RGB to CIE
L*A*B. The magnitude of the gradient G(i,j) of the color
image can be calculated by using L*A*B. Primarily, the aim is
to choose a threshold for the initiation of the seed generation
procedure. Preferably, a threshold value could be choosing to
offer the most edges, where as ignoring the noise in images. A
single threshold that may accurately define the boundary of a
given region can permit the other regions to merge wrongly.
So, we are choosing two initial threshold values for the low
and high gradient content in the image. The high initial
threshold can be used for images which have a large gradient
values over a narrow range and a low initial threshold value
can be used for images which have a large gradient values
over a wide range. It guarantees that all significant low
gradient regions are obtained as initial seeds. Low initial
threshold is denoted as λ and high initial threshold is denoted
as λ+5.
Fig -2: Adaptive Threshold Generation
2.3 Seed Generation:
Preliminary seeds are generated by perceiving all the regions
in the image whose gradient values fall below the initial
thresholds λ, and λ+5. If no regions present under this
threshold, the edge value is increased until regions are
identified. The Preliminary Seed Generation makes use of
individual size necessity to select the preliminary seeds, so as
to prevent numerous seed generation within identical and
associated regions. The initial condition is to implement that
seeds to be superior to 0.5% of the image when looking for
regions with a threshold value lower than λ .The basis of this
rule is that frequently backgrounds have false edges produced
by illumination or other varying factors in this gradient range.
The second condition is to implement that seeds to be superior
to 0.25% of the image in the range λ to λ+5, since it is
necessary to differentiate the regions. For distinguishing
purposes the pixels creating each seed obtain an exclusive
label, the mutual set of labeled seeds is called as the Parent
Seeds (PS).
2.4 Region Growing:
The Parent Seeds (PS) grows by increasing the threshold a
single component at a time, for example from 20 to 21. After
each growth, recognition of new regions or child seeds that
falls below the new threshold happens. These child seeds
requires to be categorized in to adjacent-to-existent or non
adjacent seeds. The non adjacent seeds are surplus, because
they can only be added at the starting of an each adaptive
threshold stage. In order to make the region growth method
capable, it is necessary to recognize the parent seed to which
the child is adjacent. The goal is to process all adjacent child
seeds in a vectorized method. To attain this task, we go on to
perceive the outside edges of the map using a nonlinear spatial
filter. The filter is defined as follows:
Otherwise
jiPSif
jiPSif
jiF ji
,1
0),(,0
0),(,0
),( ,
(5)
where β is the neighborhood. The result of pertaining this filter
creates the boundary of the PS map. Assign the label for each
pixel in the image. Finally, it produces the region growth map.
2.5 Region Merging:
Region merging is the process of merging the two similar
regions. Similarity is based on color, texture, grey level etc.
Region merging operations eliminates false boundaries and
spurious regions by merging adjacent regions that belongs to
the same object. It controls the over segmentation problem.
Here, the Active Region Merging process occurs by using a
region merging predicate P and cue consistency.
2.5.1 Region Merging Predicate:
The proposed predicate is based on measuring the similarity
between the pixels along the boundary of two regions. The
similarity between the two regions R1 and R2 can be
calculated by using an equation given below:
4. IJRET: International Journal of Research in Engineering and Technology ISSN: 2319-1163
__________________________________________________________________________________________
Volume: 02 Issue: 04 | Apr-2013, Available @ http://www.ijret.org 545
nnRR jiwS ,min, 21
(6)
where ni and nj are the set of nodes corresponding to the
regions, ni belongs to R1 and nj belongs to R2 and (ni,nj)
belongs to edge E. An edge has a corresponding weight w. We
obtain the similarity between the two neighboring regions by
using a minimal weight edge connecting them. The merging
predicate P will decide whether there is an indication of
merging between the two regions. It requires two features: a
similarity measure, which is used to find out the candidate
region for merging and the consistency property, which
verifies if the regions are homogenous. Merge R1 and R2 if
and only if they are the most similar neighbors.
otherwisefalse
consistentareandb
andSSSaiftrue
P
RR
RRRRRR
RR
ba
.
;,min,min
21
212,1
2,1
(7)
where Ra and Rb is the neighboring region of R1 and R2.
Condition (a) indicates that the connecting edge between R1
and R2 to be the minimal one in either of the neighborhood.
Condition (b) acts as a stopping criterion.
2.5.2 Cue Consistency:
In order to attain the similar regions in region merging, the
proposed predicate P verifies the consistency of the regions.
The region information is obtained by the cues. The selection
of cues can be intensity, color, texture and so on. The
spreading of cues depends on the consistency of the pair of
neighboring regions. In this paper, we are going to use a
sequential probability ratio test method. Assuming that
parameter ϕ is connected to the dissemination of random cues
y. There are two premises involved here: a couple of regions is
“consistent” and “inconsistent”. The consistent premises is
denoted as H0 : ϕ=ϕ0 and inconsistent premises is denoted as
H1 : ϕ=ϕ1. The application of the SPRT to the consistency test
of cues is expressed as follows. The sequence of following
likelihood ratio δj is
nj
yP
yP
j
j
j ........,2,1,log
11
00
(8)
where P0(yj/ϕ0) and P1(yj/ϕ1) are the disseminations of cues.
We are going to use the Gaussian distribution model to fairly
accurate the cue distributions. The two conditional
probabilities are expressed as:
KKXK aKbP
KKXK baKbP
abK
T
babK
T
y
y
1
211
1
100
exp
exp
1
(9)
where Ka and Kb are the standard color of sampled data in
regions a and b, and Ka+b is the standard value of the samples
union. Xk is the covariance matrix of the regions and λ1 and
λ2 are the scalar parameters. The arrangement of likelihood
ratio is the addition of individual δj, i.e.,
N
j j1
(10)
where N is the first integer. By using SPRT method, we can
execute the test with a realistic estimation. It can be expressed
as C= log (1-β)/α and D= log β(1-α), where α and β are the
probabilities of decision error given by,
α= Pt {Rejecting H1 when H1 is true}
β= Pt {Accepting H1 when H0 is true}
The selection of α and β gives the region merging feature. α
and β are set to a permanent value of 0.05.
2.5.3 Active Region Merging Algorithm (ARM):
The proposed ARM method deals with the region merging
predicate P. By taking the region merging as an important
problem, the aim is to assign each region a label, such that the
region that belongs to the same object will have the same
label. There are two types of labels for regions: initial label
and final label. The test of consistency and inconsistency is
based on the error probabilities of cue decisions α and β. The
error probabilities are used for finding the homogenous
regions. If any non homogenous regions found, the more
number of tests are used for the decisions. The regions are
arranged in a sequential order from initial label to final label.
It depends on the minimum weight between the two regions.
The whole image is the union of all the regions, F is the sum
of transition costs of overall regions.
R
F
j
jF
(11)
where Fj is the addition of transition costs of Rj.
(a) (b)
5. IJRET: International Journal of Research in Engineering and Technology ISSN: 2319-1163
__________________________________________________________________________________________
Volume: 02 Issue: 04 | Apr-2013, Available @ http://www.ijret.org 546
(c) (d)
(e)
Fig-3 (a) Input image (b) Color space conversion (c) Gradient
image (d) Region Growing (e) Region Merging.
3. RESULTS AND DISCUSSIONS:
3.1 Choices for Parameters:
In the proposed ARM method, there are five parameters. They
are q, α, β, λ1, λ2 that controls the consistency premises
evaluation.
Here, q is used to select the amount of data for the random
test. α and β are used for the probability of accepting the
consistency and inconsistency and for rejecting the
consistency and inconsistency. In our method, α and β are set
to a constant value of 0.05 and λ1 ranges from 0.01 to 0.05
and λ2 =1.
3.2 Performance Evaluation:
In our method, we are calculating the accuracy for region
growing and Active region merging. The Accuracy can be
expressed as
%100
N
TNTP
(%)Accuracy
The terms used to measure the test performance are true
positive (TP), true negative (TN) and total number of images
(N). Results obtained for each test images are given in Table I.
3.3 Comparison of proposed method with GSEG
algorithm:
Here we are going to compare the segmentation results of
ARM with GSEG algorithm. GSEG performs the
segmentation process by using texture model, color edge
detection and cluster formations. There are two parameters
used here. They are texture channel bandwidth and spatial
bandwidth. The segmented image is based on the texture. The
proposed method contains five parameters q, α, β, λ1, λ2.
Compared to GSEG algorithm, the proposed method produces
good localization of boundaries. It reduces the misclassified
regions and other irregularities of the gradient.
Table -1: Region Merging Accuracy by GSEG and ARM for
various images
(a)
(b) (c)
Fig-4 (a) Input image (b) GSEG image (c) ARM image
CONCLUSIONS
In this paper, we proposed a novel predicate for merging the
regions in automatic image segmentation. The Predicate P is
used to determine the evidence of merging between the two
neighboring regions. The Predicate is defined by using
Sequential Probability Ratio Test (SPRT). It produces the high
efficiency and accuracy. It also reduces the misclassified
edges and boundaries.
Image name Region
Growing
Accuracy
(%)
Region
Merging
Accuracy by
GSEG (%)
Region
Merging
Accuracy by
ARM (%)
Tree 85 87 89
Church 93 95 98
Flowers 82 84 88
Man 80 83 85
6. IJRET: International Journal of Research in Engineering and Technology ISSN: 2319-1163
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Volume: 02 Issue: 04 | Apr-2013, Available @ http://www.ijret.org 547
ACKNOWLEDGEMENTS
The authors would like to thank their colleagues for their
valuable reviews and comments.
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BIOGRAPHIES:
S.Muthamizhselvi received the B.E.
degree in Electronics and communication
engineering from Sree Sowdambika
college of Engineering under Anna
University, Tirunelveli, Tamil Nadu,
India in 2011 and doing M.E. degree in
Communication Systems from RVS
College of Engineering and Technology,
Coimbatore, Tamil Nadu, India. She has presented papers in
the national and International conferences.
D.Jeyakumari received the B.E. degree
in Electronics and communication
engineering from Madurai Kamaraj
University, Madurai, Tamil Nadu, India
in 1997 and M.E. degree in Applied
Electronics from Government College of
Technology, Coimbatore, Tamil Nadu,
and India in 2005. She is doing her Ph.D.
Programme in Anna University, Coimbatore. She has 16 years
of teaching experience. She has published 5 papers in the
reputed international journals and 20 papers in the national
and international conferences. Presently working as an
Associate Professor in ECE Department at RVS College
Engineering and Technology, Coimbatore. She is a life
member of ISTE.
7. IJRET: International Journal of Research in Engineering and Technology ISSN: 2319-1163
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Volume: 02 Issue: 04 | Apr-2013, Available @ http://www.ijret.org 548
R.Kannan received the B.E. degree in
Electronics and communication
engineering from Dr.Sivanti Adithanar
college of Engineering, Tiruchendur,
Tamil Nadu, India in 2004 and M.E.
degree in VLSI Design from Sona
College of Technology, Salem, Tamil
Nadu, and India in 2007. He has 7
years of teaching experience. He has
presented papers in the national and international conferences.
Presently working as an Assistant Professor in ECE
Department at RVS College Engineering and Technology,
Coimbatore.