Here in the ppt a detailed description of Image Enhancement Techniques is given which includes topics like Basic Gray level Transformations,Histogram Processing.
Enhancement using Arithmetic/Logic Operations.
image averaging and image averaging methods.
Piecewise-Linear Transformation Functions
its very useful for students.
Sharpening process in spatial domain
Direct Manipulation of image Pixels.
The objective of Sharpening is to highlight transitions in intensity
The image blurring is accomplished by pixel averaging in a neighborhood.
Since averaging is analogous to integration.
Prepared by
M. Sahaya Pretha
Department of Computer Science and Engineering,
MS University, Tirunelveli Dist, Tamilnadu.
Here in the ppt a detailed description of Image Enhancement Techniques is given which includes topics like Basic Gray level Transformations,Histogram Processing.
Enhancement using Arithmetic/Logic Operations.
image averaging and image averaging methods.
Piecewise-Linear Transformation Functions
its very useful for students.
Sharpening process in spatial domain
Direct Manipulation of image Pixels.
The objective of Sharpening is to highlight transitions in intensity
The image blurring is accomplished by pixel averaging in a neighborhood.
Since averaging is analogous to integration.
Prepared by
M. Sahaya Pretha
Department of Computer Science and Engineering,
MS University, Tirunelveli Dist, Tamilnadu.
Digital image processing is the use of computer algorithms to perform image processing on digital images. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing.
Image processing, Noise, Noise Removal filtersKuppusamy P
Basics of images, Digital Images, Noise, Noise Removal filters
Reference:
Richard Szeliski, Computer Vision: Algorithms and Applications, Springer 2010
The report discusses my version of the arcade game Arcanoid. My version of
Arcanoid is developed as the project for the Computer Graphics course. The
report presents the logic and concepts for building the geometries, navigation,
collision detection and reflection techniques used to build my version of the
game. It also lists the features available in my version of the game.
Digital image processing is the use of computer algorithms to perform image processing on digital images. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing.
Image processing, Noise, Noise Removal filtersKuppusamy P
Basics of images, Digital Images, Noise, Noise Removal filters
Reference:
Richard Szeliski, Computer Vision: Algorithms and Applications, Springer 2010
The report discusses my version of the arcade game Arcanoid. My version of
Arcanoid is developed as the project for the Computer Graphics course. The
report presents the logic and concepts for building the geometries, navigation,
collision detection and reflection techniques used to build my version of the
game. It also lists the features available in my version of the game.
VU Computer Graphics project - SkyRoads remakeMircea Mare
A short description of my final project for the Computer Graphics course, part of the Parallel & Distributed Computer Systems, while being an Erasmus student at the Vrije Universiteit in Amsterdam. Source code available on request.
CG MINI PROJECT USING OPENGL on LUDO BOARD GAME OPENGL COMPUTER GRAPHICS. This Presentation for VTU 6th Sem Computer graphics and visualization Mini Project
Computer Graphics Project Development Help with OpenGL computer graphics proj...Team Codingparks
Computer Graphics Project Development Help (OpenGL Computer Graphics Ideas and Help, C Computer Graphics Programs Ideas and Help, C++ Computer Graphics Programs Ideas and Help, Adobe Photoshop Computer Graphics Ideas and Help, Adobe Illustrator Computer Graphics Ideas and Help)
Fore More Details Visit - http://www.codingparks.com/computer-graphics-project-development-and-assignment-help/
Get OpenGL Programming Topics and Ideas to work with OpenGL Project and Assignment Help.
At the end of this lesson, you should be able to;
define segmentation.
Describe edge based in segmentation.
describe thresholding and its properties.
apply edge detection and thresholding as segmentation techniques.
Computer Graphics Project- The Running TrainAmit Kumar
An electric locomotive is a locomotive powered by electricity from overhead lines, a third rail or on-board energy storage such as a battery or fuel cell.
This project is all about modelling with many more features of openGL. The starting point is a small virtual space that consists of a grassy plain with a simple parallel railway track running on it. It also consists of a plain of clear sky. It also contains engine & bogies with electric wires for power supply. Lastly, it contains wheels rotating & translating in forward direction.
Computer graphics mini project on bellman-ford algorithmRAJEEV KUMAR SINGH
This is PPT of Computer graphics mini project on bellman-ford algorithm. The 6th sem Opengl Projects for VTU.
The projects demo about the Bellman-Ford algorithm, how it works using the OpenGL graphics library in MS Visual Studio.
You can get free source code for this mini projects from - http://www.openglprojects.in/2012/06/mini-project-on-bellman-ford-algorithm.html
IMAGE SEGMENTATION BY USING THRESHOLDING TECHNIQUES FOR MEDICAL IMAGEScseij
Image binarization is the process of separation of pixel values into two groups, black as background and
white as foreground. Thresholding can be categorized into global thresholding and local thresholding. This
paper describes a locally adaptive thresholding technique that removes background by using local mean
and standard deviation. Most common and simplest approach to segment an image is using thresholding.
In this work we present an efficient implementation for threshoding and give a detailed comparison of
Niblack and sauvola local thresholding algorithm. Niblack and sauvola thresholding algorithm is
implemented on medical images. The quality of segmented image is measured by statistical parameters:
Jaccard Similarity Coefficient, Peak Signal to Noise Ratio (PSNR).
This is about Image segmenting.We will be using fuzzy logic & wavelet transformation for segmenting it.Fuzzy logic shall be used because of the inconsistencies that may occur during segementing or
An algorithm to quantify the swelling by reconstructing 3D model of the face with stereo images is presented. We
analyzed the primary problems in computational stereo, which include correspondence and depth calculation. Work has been carried out to determine suitable methods for depth estimation and standardizing volume estimations. Finally we designed software for reconstructing 3D images from 2D stereo images, which was built on Matlab and Visual C++. Utilizing
techniques from multi-view geometry, a 3D model of the face was constructed and refined. An explicit analysis of the stereo
disparity calculation methods and filter elimination disparity estimation for increasing reliability of the disparity map was
used. Minimizing variability in position by using more precise positioning techniques and resources will increase the accuracy of this technique and is a focus for future work
Image Segmentation
Types of Image Segmentation
Semantic Segmentation
Instance Segmentation
Types of Image Segmentation Techniques based on the image properties:
Threshold Method.
Edge Based Segmentation.
Region-Based Segmentation.
Clustering Based Segmentation.
Watershed Based Method.
Artificial Neural Network Based Segmentation.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
A ROBUST BACKGROUND REMOVAL ALGORTIHMS USING FUZZY C-MEANS CLUSTERINGIJNSA Journal
Background subtraction is typically one of the first steps carried out in motion detection using static video cameras. This paper presents a novel method for background removal that processes only some pixels of each image. Some regions of interest of the objects in the image or frame are located with the help of edge detector. Once the region is detected only that area will be segmented instead of processing the whole image. This method achieves a significant reduction in computation time that can be used for subsequent image analysis. In this paper we detect the foreground object with the help of edge detector and combine the Fuzzy c-means clustering algorithm to segment the object by means of subtracting the current frame from the previous frame, the accurate background is identified.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
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.
In the past two decades, the technique of image processing has made its way into every aspect of today’s tech-savvy society. Its applications encompass a wide variety of specialized disciplines including medical imaging, machine vision, remote sensing and astronomy. Personal images captured by various digital cameras can easily be manipulated by a variety of dedicated image processing algorithms. Image restoration can be described as an important part of image processing technique. The basic objective is to enhance the quality of an image by removing defects and make it look pleasing. The method used to carry out the project was MATLAB software. Mathematical algorithms were programmed and tested for the result to find the necessary output. In this project mathematical analysis was the basic core. Generally the spatial and frequency domain methods were both important and applicable in different technologies. This project has tried to show the comparison between spatial and frequency domain approaches and their advantages and disadvantages. This project also suggested that more research have to be done in many other image processing applications to show the importance of those methods.
A (very brief) Introduction to Image Processing and 3D Printing with ImageJPaul Mignone, Ph.D
Using ImageJ to extract 3D models from material image data-sets for 3D printing purposes. Participants will have an opportunity to 3D print a small model using the Objet Connex500 3D printer.
Current scientific imaging (and image processing) technologies allow researchers and professionals to visualize the morphology of complex composite materials at very fine length scales. Combined with the advances and accessibility of additive manufacturing technologies, researches are able to produce tangible assets of these composite morphologies for further research and analysis. The following workshop will briefly introduce image processing theory, as well as an open source tool chain to produce 3D models of a material data-set for 3D printing purposes.
A NOVEL APPROACH FOR SEGMENTATION OF SECTOR SCAN SONAR IMAGES USING ADAPTIVE ...ijistjournal
The SAR and SAS images are perturbed by a multiplicative noise called speckle, due to the coherent nature of the scattering phenomenon. If the background of an image is uneven, the fixed thresholding technique is not suitable to segment an image using adaptive thresholding method. In this paper a new Adaptive thresholding method is proposed to reduce the speckle noise, preserving the structural features and textural information of Sector Scan SONAR (Sound Navigation and Ranging) images. Due to the massive proliferation of SONAR images, the proposed method is very appealing in under water environment applications. In fact it is a pre- treatment required in any SONAR images analysis system. The results obtained from the proposed method were compared quantitatively and qualitatively with the results obtained from the other speckle reduction techniques and demonstrate its higher performance for speckle reduction in the SONAR images.
A NOVEL APPROACH FOR SEGMENTATION OF SECTOR SCAN SONAR IMAGES USING ADAPTIVE ...ijistjournal
The SAR and SAS images are perturbed by a multiplicative noise called speckle, due to the coherent nature of the scattering phenomenon. If the background of an image is uneven, the fixed thresholding technique is not suitable to segment an image using adaptive thresholding method. In this paper a new Adaptive thresholding method is proposed to reduce the speckle noise, preserving the structural features and textural information of Sector Scan SONAR (Sound Navigation and Ranging) images. Due to the massive proliferation of SONAR images, the proposed method is very appealing in under water environment applications. In fact it is a pre- treatment required in any SONAR images analysis system. The results obtained from the proposed method were compared quantitatively and qualitatively with the results obtained from the other speckle reduction techniques and demonstrate its higher performance for speckle reduction in the SONAR images.
Capstone Report - Industrial Attachment Program (IAP) Evaluation PortalAkshit Arora
Capstone Project Report on IAP Evaluation Portal submitted in partial fulfillment of the requirements for the award of the degree of Bachelor of Engineering in Computer Science and Engineering Department by:
Abhinav Garg (101303004), Arush Nagpal (101303034), Akshit Arora (101303012) and Chahak Gupta (101303041)
Under the supervision of:
Dr. Prashant Singh Rana, Assistant Professor, CSED (http://psrana.com) and Dr. Ajay Batish, Professor, MED (www.thapar.edu/index.php/mechanical-engineering-department/faculty?pid=153&sid=387:dr-ajay-batish)
Thapar University,
Patiala, Punjab, India - 147004.
December 2016
Organizational behavior presentation - Origins of IntelligenceAkshit Arora
Based on the following links:
http://bigthink.com/big-think-tv/the-origin-of-intelligence
https://www.ted.com/talks/simon_sinek_how_great_leaders_inspire_action
Industrial Attachment Program (IAP) ReportAkshit Arora
Project report for IAP, project developed for automating the Industrial Attachment Program of Dept. of Mechanical Engineering at Thapar University. Developed under the guidance of Dr. Ajay Batish (Professor at Mechanical Engg. Dept, TU)
Asynchronous Processors - The Clock less FutureAkshit Arora
The synchronous processor chips of computers use a clock to time the entire chip. But this clock is also the cause of speed and power consumption headaches. Here is how an asynchronous chip overcomes these problems by eliminating the clock altogether.
A presentation by Akshit Arora and Ankit Goyal for Computer Science Architecture (UCS401) at Thapar University, Patiala
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
2. Otsu’s Thresholding Method
• Based on a very simple idea: Find the threshold
that minimizes the weighted within-class
variance.
• This turns out to be the same as maximizing the
between-class variance.
• Operates directly on the gray level histogram
[e.g. 256 numbers, P(i)], so it’s fast (once the
histogram is computed).
(1979)
3. Problem
It is important in picture processing to select an adequate threshold of grey
level for extracting objects from their background. Before Otsu, A variety of
techniques have been proposed in this regard. In an ideal case, the histogram
has a deep and sharp valley between two peaks representing objects and
background, respectively, so that the threshold can be chosen at the bottom
of this valley. However, for most real pictures, it is often difficult to detect
the valley bottom precisely, especially in such cases as when the valley is
flat and broad, imbued with noise, or when the two peaks are extremely
unequal in height, often producing no traceable valley.
4. Otsu’s: Assumptions
• Histogram (and the image) are bimodal.
• No use of spatial coherence, nor any other notion of
object structure.
• Assumes stationary statistics, but can be modified to be
locally adaptive. (exercises)
• Assumes uniform illumination (implicitly), so the bimodal
brightness behavior arises from object appearance
differences only.
10. A Faster Approach
Threshold T=0 T=1 T=2 T=3 T=4 T=5
Within
Class
Variance
σ2
W =
3.1196
σ2
W =
1.5268
σ2
W =
0.5561
σ2
W =
0.4909
σ2
W =
0.9779
σ2
W =
2.2491
Between
Class
Variance
σ2
B = 0
σ2
B =
1.5928
σ2
B =
2.5635
σ2
B =
2.6287
σ2
B =
2.1417
σ2
B =
0.8705
13. • Output of Manual Thresholding
• Output using Graythresh function (Otsu’s
Method)
14. Conclusion
A method to select a threshold automatically from a gray level histogram
has been derived from the viewpoint of discriminant analysis. This directly
deals with the problem of evaluating the goodness of thresholds. The range
of its applications is not restricted only to the thresholding of the gray-level
picture, such as specifically described in the foregoing, but it may also
cover other cases of unsupervised classification in which a histogram of
some characteristic (or feature) discriminative for classifying the objects is
available. Taking into account these points, the method suggested in this
correspondence may be recommended as the most simple and standard one
for automatic threshold selection that can be applied to various practical
problems.
15. Achievements
• Pattern recognition: Pattern recognition involves study from
image processing and from various other fields that includes
machine learning (a branch of artificial intelligence).
• Video processing: A video is nothing but just the very fast
movement of pictures. The quality of the video depends on the
number of frames/pictures per minute and the quality of each
frame being used.
16. Achievements
• Medical Applications: The need for accurate segmentation tools in medical
applications is driven by the increased capacity of the imaging devices.
Common modalities such as CT and MRI generate images which simply
cannot be examined manually, due to high resolutions and a large number
of image slices.
• Object Detection: Object detection is a computer technology related to
computer vision and image processing that deals with detecting instances
of semantic objects of a certain class (such as humans, buildings, or cars) in
digital images and videos.