To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
JPM1413 Phase-Based Binarization of Ancient Document Images: Model and Appl...chennaijp
JP INFOTECH is one of the leading Matlab projects provider in Chennai having experience faculties. We have list of image processing projects as our own and also we can make projects based on your own base paper concept also.
For more details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/matlab-projects/
Field Programmable Gate Array for Data Processing in Medical SystemsIOSR Journals
Abstract: Two- dimensional &Three–dimensional (3-D) image segmentation is on of the most demanding tasks in image processing. It has been proven that only the 14-neighborship of a rhombic dodecahedron can satisfy the aforementioned requirements. The 3-D-GSC process is executed in the following three phases ,coding phases,linking phases,splitting phases. An FPGA-based digital signal processing board optimized for applications needing large memory with high bandwidth has been developed and successfully used for the parallelization of a modern image segmentation algorithm for medical and industrial real-time applications.The Use of this 128-bit coprocessor board is not limited to image segmentation.We propose the perfectly parallelizable 3-D Gray-Value Structure Code (3-D-GSC) for image segmentation on a new FPGA custom machine. This 128-Bit FPGA coprocessing board features an up-to-date Virtex-II Pro architecture, two large independent DDR-SDRAM channels, two fast independent ZBT-SRAM channels, and PCI-X bus and CameraLink interfaces. Key words: Field Programmable Gate Array, Segme-ntation, Vogel bruch, Gray-valve structure code ,Homogeneous, Linking phase, Coding phase, Splitting phase, SDRAM.
Review : Structure Boundary Preserving Segmentation for Medical Image with Am...Dongmin Choi
Paper title : Structure Boundary Preserving Segmentation for Medical Image with Ambiguous Boundary (CVPR2020)
Paper link : https://openaccess.thecvf.com/content_CVPR_2020/papers/Lee_Structure_Boundary_Preserving_Segmentation_for_Medical_Image_With_Ambiguous_Boundary_CVPR_2020_paper.pdf
Introduction Petrel Course (UAB-2014)
This course has been prepared as an introduction of Petrel software (Schlumberger, www.software.slb.com/products/platform/Pages/petrel.aspx), an application which allows the modeling and visualization of reservoirs, since the exploration stage until production, integrating geological and geophysical data, geological modeling (structural and stratigraphic frameworks), well planning, or property modeling ( petrophysical or petrological) among other possibilities.
The course will be focused mainly in the understanding and utilization of workflows aimed to build geological models based on superficial data (at the outcrop scale) but also with seismic data. The course contents have been subdivided in 5 modules each one developed through the combination of short explanations and practical exercises.
The duration of the course covers more or less 10h divided in three sessions. The starting data will be in the first week of December.
This course will be oriented mainly for the PhD and master students ascribed at the Geologic department of the UAB. For logistic reasons the maximum number of places for each torn are 9. The course is free from the Department members but the external interested will have to make a symbolic payment.
Those interested send an e-mail to the Doctor Griera (albert.griera@uab.cat).
The course will be imparted by Marc Diviu (Msc. Geology and Geophysics of reservoirs).
A presentation on the "no new UNet" model, which attempts to automate hyper-parameter selection for medical image segmentation. The paper was accepted to Nature Methods.
JPM1413 Phase-Based Binarization of Ancient Document Images: Model and Appl...chennaijp
JP INFOTECH is one of the leading Matlab projects provider in Chennai having experience faculties. We have list of image processing projects as our own and also we can make projects based on your own base paper concept also.
For more details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/matlab-projects/
Field Programmable Gate Array for Data Processing in Medical SystemsIOSR Journals
Abstract: Two- dimensional &Three–dimensional (3-D) image segmentation is on of the most demanding tasks in image processing. It has been proven that only the 14-neighborship of a rhombic dodecahedron can satisfy the aforementioned requirements. The 3-D-GSC process is executed in the following three phases ,coding phases,linking phases,splitting phases. An FPGA-based digital signal processing board optimized for applications needing large memory with high bandwidth has been developed and successfully used for the parallelization of a modern image segmentation algorithm for medical and industrial real-time applications.The Use of this 128-bit coprocessor board is not limited to image segmentation.We propose the perfectly parallelizable 3-D Gray-Value Structure Code (3-D-GSC) for image segmentation on a new FPGA custom machine. This 128-Bit FPGA coprocessing board features an up-to-date Virtex-II Pro architecture, two large independent DDR-SDRAM channels, two fast independent ZBT-SRAM channels, and PCI-X bus and CameraLink interfaces. Key words: Field Programmable Gate Array, Segme-ntation, Vogel bruch, Gray-valve structure code ,Homogeneous, Linking phase, Coding phase, Splitting phase, SDRAM.
Review : Structure Boundary Preserving Segmentation for Medical Image with Am...Dongmin Choi
Paper title : Structure Boundary Preserving Segmentation for Medical Image with Ambiguous Boundary (CVPR2020)
Paper link : https://openaccess.thecvf.com/content_CVPR_2020/papers/Lee_Structure_Boundary_Preserving_Segmentation_for_Medical_Image_With_Ambiguous_Boundary_CVPR_2020_paper.pdf
Introduction Petrel Course (UAB-2014)
This course has been prepared as an introduction of Petrel software (Schlumberger, www.software.slb.com/products/platform/Pages/petrel.aspx), an application which allows the modeling and visualization of reservoirs, since the exploration stage until production, integrating geological and geophysical data, geological modeling (structural and stratigraphic frameworks), well planning, or property modeling ( petrophysical or petrological) among other possibilities.
The course will be focused mainly in the understanding and utilization of workflows aimed to build geological models based on superficial data (at the outcrop scale) but also with seismic data. The course contents have been subdivided in 5 modules each one developed through the combination of short explanations and practical exercises.
The duration of the course covers more or less 10h divided in three sessions. The starting data will be in the first week of December.
This course will be oriented mainly for the PhD and master students ascribed at the Geologic department of the UAB. For logistic reasons the maximum number of places for each torn are 9. The course is free from the Department members but the external interested will have to make a symbolic payment.
Those interested send an e-mail to the Doctor Griera (albert.griera@uab.cat).
The course will be imparted by Marc Diviu (Msc. Geology and Geophysics of reservoirs).
A presentation on the "no new UNet" model, which attempts to automate hyper-parameter selection for medical image segmentation. The paper was accepted to Nature Methods.
Image processing and alignment with RNiftyReg and mmandJonathan Clayden
Images are produced in a wide spectrum of science and engineering disciplines, and in some fields they may have three or more dimensions. A range of postprocessing techniques are commonly used to identify or emphasise features of interest. It is also often necessary to align pairs of images, a process otherwise known as registration. Here we will present two packages, written in R and C/C++, which are designed to be used in this domain. RNiftyReg performs linear and nonlinear registration between 2D or 3D images, and allows estimated transformations to be applied to other images and points. The mmand package (for "mathematical morphology in any number of dimensions") offers facilities for image erosion and dilation, smoothing and filtering. It can also be used for other, related kernel-based operations, and for array resampling or noninteger indexing.
This presentation includes:
Velocity modeling the principles and pitfalls
Well and seismic velocity data
Incorporating velocity data to build a reliable model in Petrel software
Time to Depth conversion (Map and reservoir property)
Residual error correction and well marker adjustment
Structural uncertainty
Abstract
This report focuses on controlling the speed of a DC motor using PWM technique.
Direct current (DC) motors have been widely used in many industrial applications such as electric vehicles, steel rolling mills, electric cranes, and robotic manipulators due to precise, wide, simple, and continuous control characteristics
The dc motor speed in general is directly proportional to the supply voltage, so if reduce the voltage from 12 volts to 6 volts then our speed become half of what it originally had. But in practice, for changing the speed of a dc motor we cannot go on changing the supply voltage all the time. Rather than simply adjusting the voltage sent to the motor, we can switch the motor supply on and off where switching is done so much fast that the motor only notices the average voltage effect and not the switching operation.
Efficient Image Compression Technique using Clustering and Random PermutationIJERA Editor
Multimedia data compression is a challenging situation for compression technique, due to the possibility of loss
of data as well as it require large amount of storage place. The minimization of storage place and proper
transmission of these data need compression. In this dissertation we proposed a block based DWT image
compression technique using genetic algorithm and HCC code matrix. The HCC code matrix compressed into
two different set redundant and non-redundant which generate similar pattern of block coefficient. The similar
block coefficient generated by particle of swarm optimization. The process of particle of swarm optimization is
select for the optimal block of DWT transform function. For the experimental purpose we used some standard
image such as Lena, Barbara and cameraman image. The size of resolution of this image is 256*256. The source
of image is Google
Efficient Image Compression Technique using Clustering and Random PermutationIJERA Editor
Multimedia data compression is a challenging situation for compression technique, due to the possibility of loss
of data as well as it require large amount of storage place. The minimization of storage place and proper
transmission of these data need compression. In this dissertation we proposed a block based DWT image
compression technique using genetic algorithm and HCC code matrix. The HCC code matrix compressed into
two different set redundant and non-redundant which generate similar pattern of block coefficient. The similar
block coefficient generated by particle of swarm optimization. The process of particle of swarm optimization is
select for the optimal block of DWT transform function. For the experimental purpose we used some standard
image such as Lena, Barbara and cameraman image. The size of resolution of this image is 256*256. The source
of image is Google.
Survey of Hybrid Image Compression Techniques IJECEIAES
A compression process is to reduce or compress the size of data while maintaining the quality of information contained therein. This paper presents a survey of research papers discussing improvement of various hybrid compression techniques during the last decade. A hybrid compression technique is a technique combining excellent properties of each group of methods as is performed in JPEG compression method. This technique combines lossy and lossless compression method to obtain a highquality compression ratio while maintaining the quality of the reconstructed image. Lossy compression technique produces a relatively high compression ratio, whereas lossless compression brings about high-quality data reconstruction as the data can later be decompressed with the same results as before the compression. Discussions of the knowledge of and issues about the ongoing hybrid compression technique development indicate the possibility of conducting further researches to improve the performance of image compression method.
NEW LOCAL BINARY PATTERN FEATURE EXTRACTOR WITH ADAPTIVE THRESHOLD FOR FACE R...gerogepatton
This paper represents a feature extraction method constructed on the local binary pattern (LBP) structure.
The proposed method introduces a new adaptive thresholding function to the LBP method replacing the
fixed thresholding at zero. The introduced function is a Gaussian Distribution Function (GDF) variation.
The proposed technique uses the global and local information of the image and image blocks to perform
the adaptation. The adaptive function adds to the on-hand im-age’s features by preserving the information
of the amplitude of the pixel difference rather than just considering the sign of the pixel difference in the
process of LBP coding. This feature improves the accuracy of the face recognition system by providing
additional information. The proposed method demonstrates a higher recognition rate than other presented
techniques (%97.75). The proposed method was also tested with different types of noise to demonstrate its
effectiveness in the presence of various levels of noise. The Extended Yale B dataset was used for the
testing along with Support Vector Machine (SVM) as classifier.
Image processing and alignment with RNiftyReg and mmandJonathan Clayden
Images are produced in a wide spectrum of science and engineering disciplines, and in some fields they may have three or more dimensions. A range of postprocessing techniques are commonly used to identify or emphasise features of interest. It is also often necessary to align pairs of images, a process otherwise known as registration. Here we will present two packages, written in R and C/C++, which are designed to be used in this domain. RNiftyReg performs linear and nonlinear registration between 2D or 3D images, and allows estimated transformations to be applied to other images and points. The mmand package (for "mathematical morphology in any number of dimensions") offers facilities for image erosion and dilation, smoothing and filtering. It can also be used for other, related kernel-based operations, and for array resampling or noninteger indexing.
This presentation includes:
Velocity modeling the principles and pitfalls
Well and seismic velocity data
Incorporating velocity data to build a reliable model in Petrel software
Time to Depth conversion (Map and reservoir property)
Residual error correction and well marker adjustment
Structural uncertainty
Abstract
This report focuses on controlling the speed of a DC motor using PWM technique.
Direct current (DC) motors have been widely used in many industrial applications such as electric vehicles, steel rolling mills, electric cranes, and robotic manipulators due to precise, wide, simple, and continuous control characteristics
The dc motor speed in general is directly proportional to the supply voltage, so if reduce the voltage from 12 volts to 6 volts then our speed become half of what it originally had. But in practice, for changing the speed of a dc motor we cannot go on changing the supply voltage all the time. Rather than simply adjusting the voltage sent to the motor, we can switch the motor supply on and off where switching is done so much fast that the motor only notices the average voltage effect and not the switching operation.
Efficient Image Compression Technique using Clustering and Random PermutationIJERA Editor
Multimedia data compression is a challenging situation for compression technique, due to the possibility of loss
of data as well as it require large amount of storage place. The minimization of storage place and proper
transmission of these data need compression. In this dissertation we proposed a block based DWT image
compression technique using genetic algorithm and HCC code matrix. The HCC code matrix compressed into
two different set redundant and non-redundant which generate similar pattern of block coefficient. The similar
block coefficient generated by particle of swarm optimization. The process of particle of swarm optimization is
select for the optimal block of DWT transform function. For the experimental purpose we used some standard
image such as Lena, Barbara and cameraman image. The size of resolution of this image is 256*256. The source
of image is Google
Efficient Image Compression Technique using Clustering and Random PermutationIJERA Editor
Multimedia data compression is a challenging situation for compression technique, due to the possibility of loss
of data as well as it require large amount of storage place. The minimization of storage place and proper
transmission of these data need compression. In this dissertation we proposed a block based DWT image
compression technique using genetic algorithm and HCC code matrix. The HCC code matrix compressed into
two different set redundant and non-redundant which generate similar pattern of block coefficient. The similar
block coefficient generated by particle of swarm optimization. The process of particle of swarm optimization is
select for the optimal block of DWT transform function. For the experimental purpose we used some standard
image such as Lena, Barbara and cameraman image. The size of resolution of this image is 256*256. The source
of image is Google.
Survey of Hybrid Image Compression Techniques IJECEIAES
A compression process is to reduce or compress the size of data while maintaining the quality of information contained therein. This paper presents a survey of research papers discussing improvement of various hybrid compression techniques during the last decade. A hybrid compression technique is a technique combining excellent properties of each group of methods as is performed in JPEG compression method. This technique combines lossy and lossless compression method to obtain a highquality compression ratio while maintaining the quality of the reconstructed image. Lossy compression technique produces a relatively high compression ratio, whereas lossless compression brings about high-quality data reconstruction as the data can later be decompressed with the same results as before the compression. Discussions of the knowledge of and issues about the ongoing hybrid compression technique development indicate the possibility of conducting further researches to improve the performance of image compression method.
NEW LOCAL BINARY PATTERN FEATURE EXTRACTOR WITH ADAPTIVE THRESHOLD FOR FACE R...gerogepatton
This paper represents a feature extraction method constructed on the local binary pattern (LBP) structure.
The proposed method introduces a new adaptive thresholding function to the LBP method replacing the
fixed thresholding at zero. The introduced function is a Gaussian Distribution Function (GDF) variation.
The proposed technique uses the global and local information of the image and image blocks to perform
the adaptation. The adaptive function adds to the on-hand im-age’s features by preserving the information
of the amplitude of the pixel difference rather than just considering the sign of the pixel difference in the
process of LBP coding. This feature improves the accuracy of the face recognition system by providing
additional information. The proposed method demonstrates a higher recognition rate than other presented
techniques (%97.75). The proposed method was also tested with different types of noise to demonstrate its
effectiveness in the presence of various levels of noise. The Extended Yale B dataset was used for the
testing along with Support Vector Machine (SVM) as classifier.
Novel hybrid framework for image compression for supportive hardware design o...IJECEIAES
Performing the image compression over the resource constrained hardware is quite a challenging task. Although, there has been various approaches being carried out towards image compression considering the hardware aspect of it, but still there are problems associated with the memory acceleration associated with the entire operation that downgrade the performance of the hardware device. Therefore, the proposed approach presents a cost effective image compression mechanism which offers lossless compression using a unique combination of the non-linear filtering, segmentation, contour detection, followed by the optimization. The compression mechanism adapts analytical approach for significant image compression. The execution of the compression mechanism yields faster response time, reduced mean square error, improved signal quality and significant compression ratio performance.
An effective and robust technique for the binarization of degraded document i...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.
Cuda Based Performance Evaluation Of The Computational Efficiency Of The Dct ...acijjournal
Recent advances in computing such as the massively parallel GPUs (Graphical Processing Units),coupled
with the need to store and deliver large quantities of digital data especially images, has brought a number
of challenges for Computer Scientists, the research community and other stakeholders. These challenges,
such as prohibitively large costs to manipulate the digital data amongst others, have been the focus of the
research community in recent years and has led to the investigation of image compression techniques that
can achieve excellent results. One such technique is the Discrete Cosine Transform, which helps separate
an image into parts of differing frequencies and has the advantage of excellent energy-compaction.
This paper investigates the use of the Compute Unified Device Architecture (CUDA) programming model
to implement the DCT based Cordic based Loeffler algorithm for efficient image compression. The
computational efficiency is analyzed and evaluated under both the CPU and GPU. The PSNR (Peak Signal
to Noise Ratio) is used to evaluate image reconstruction quality in this paper. The results are presented
and discussed
DEEP NEURAL NETWORKS APPLIED TO LOW POWER ONBOARD IMAGE COMPRESSION
Over the past decade, rapid developments in digital technologies and access to space have enabled unprecedented capabilities of monitoring our planet and, more generally, our Universe.
This new space race is pushing for a paradigm shift in order to respond to the ever-increasing challenge of delivering the useful information to the end users. With huge number of satellites, greater spatial and spectral resolutions, higher temporal cadence and shrinking spectrum resources, on-board data reduction becomes not only a cost saving solution but, in many cases also, a key enabling technology to achieve viable missions.
https://atpi.eventsair.com/obpdc2022/
A Survey On Thresholding Operators of Text Extraction In VideosCSCJournals
ideo indexing is an important problem that has interested by the communities of visual information in image processing. The detection and extraction of scene and caption text from unconstrained, general purpose video is an important research problem in the context of content-based retrieval and summarization. In this paper, the technique presented is for detection text from frames video. Finding the textual contents in images is a challenging and promising research area in information technology. Consequently, text detection and recognition in multimedia had become one of the most important fields in computer vision due to its valuable uses in a variety of recent technical applications. The work in this paper consists using morphological operations for extract text appearing in the video frames. The proposed scheme well as preprocessing to differentiate among where it as the high similarity between text and background information. Experimental results show that the resultant image is the image with only text. The evaluated criteria are applied with the image result and one obtained bay different operator.
A Survey On Thresholding Operators of Text Extraction In VideosCSCJournals
Video indexing is an important problem that has interested by the communities of visual information in image processing. The detection and extraction of scene and caption text from unconstrained, general purpose video is an important research problem in the context of content-based retrieval and summarization. In this paper, the technique presented is for detection text from frames video. Finding the textual contents in images is a challenging and promising research area in information technology. Consequently, text detection and recognition in multimedia had become one of the most important fields in computer vision due to its valuable uses in a variety of recent technical applications. The work in this paper consists using morphological operations for extract text appearing in the video frames. The proposed scheme well as preprocessing to differentiate among where it as the high similarity between text and background information. Experimental results show that the resultant image is the image with only text. The evaluated criteria are applied with the image result and one obtained bay different operator.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IEEE 2014 NS2 NETWORKING PROJECTS Optical networking with variable code-rate...IEEEBEBTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IEEE 2014 NS2 NETWORKING PROJECTS Improving spectrum efficiency via in netwo...IEEEBEBTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IEEE 2014 NS2 NETWORKING PROJECTS Fast regular expression matching using sma...IEEEBEBTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IEEE 2014 NS2 NETWORKING PROJECTS Distributed detection in mobile access wir...IEEEBEBTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IEEE 2014 NS2 NETWORKING PROJECTS Discount counting for fast flow statistics...IEEEBEBTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IEEE 2014 NS2 NETWORKING PROJECTS Algorithms for enhanced inter cell interfe...IEEEBEBTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IEEE 2014 NS2 NETWORKING PROJECTS A hybrid hardware architecture for high sp...IEEEBEBTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IEEE 2014 MATLAB IMAGE PROCESSING PROJECTS Digital image-sharing-by-diverse-...IEEEBEBTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IEEE 2014 MATLAB IMAGE PROCESSING PROJECTS An efficient-parallel-approach-fo...IEEEBEBTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
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.
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.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
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.
1. GLOBALSOFT TECHNOLOGIES
IEEE PROJECTS & SOFTWARE DEVELOPMENTS
IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE
BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS
CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401
Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com
Phase-Based Binarization of Ancient Document Images:
Model and Applications
ABSTRACT:
In this paper, a phase-based binarization model for ancient document images is
proposed, as well as a postprocessing method that can improve any binarization
method and a ground truth generation tool. Three feature maps derived from the
phase information of an input document image constitute the core of this
binarization model. These features are the maximum moment of phase congruency
covariance, a locally weighted mean phase angle, and a phase preserved denoised
image. The proposed model consists of three standard steps: 1) preprocessing; 2)
main binarization; and 3) postprocessing. In the preprocessing and main
binarization steps, the features used are mainly phase derived, while in the
postprocessing step, specialized adaptive Gaussian and median filters are
considered. One of the outputs of the binarization step, which shows high recall
performance, is used in a proposed postprocessing method to improve the
performance of other binarization methodologies. Finally, we develop a ground
truth generation tool, called PhaseGT, to simplify and speed up the ground truth
2. generation process for ancient document images. The comprehensive experimental
results on the DIBCO’09, H-DIBCO’10, DIBCO’11, H-DIBCO’12, DIBCO’13,
PHIBD’12, and BICKLEY DIARY data sets show the robustness of the proposed
binarization method on various types of degradation and document images.
EXISTING SYSTEM:
An adaptive binarization method based on low-pass filtering, foreground
estimation, background surface computation, and a combination of these. A
binarization method based mainly on background estimation and stroke
width estimation. First, the background of the document is estimated by
means of a one-dimensional iterative Gaussian smoothing procedure. Then,
for accurate binarization of strokes and sub-strokes, an L1 -norm gradient
image is used.
The local maximum and minimum is used to build a local contrast image.
Then, a sliding window is applied across that image to determine local
thresholds.
Learning-based methods have also been proposed in recent years. These
methods are an attempt to improve the outputs of other binarization methods
based on a feature map, or by determining the optimal parameters of
binarization methods for each image.
DISADVANTAGES OF EXISTING SYSTEM:
3. The existing system cannot deal with different sort of ancient
documents and different types of degradation
Less efficiency since it produces only rough binarization.
PROPOSED SYSTEM:
A phase-based binarization model for ancient document images is proposed as well
as a postprocessing method that can improve any binarization method and a ground
truth generation tool The proposed model consists of three standard steps 1)
preprocessing 2) main binarization and 3) postprocessing. In the preprocessing and
main binarization steps, the features used are mainly phase derived, while in the
postprocessing step, specialized adaptive Gaussian and median filters are
considered. One of the outputs of the binarization step, which shows high recall
performance, is used in a proposed postprocessing method to improve the
performance of other binarization methodologies. Finally, we develop a ground
truth generation tool, called PhaseGT, to simplify and speed up the ground truth
generation process for ancient document images. Phase-preserving denoising
followed by morphological operations are used to preprocess the input image.
ADVANTAGES OF PROPOSED SYSTEM:
Proposed algorithm requires less memory and runs faster.
Increase in efficiency compared to previous binarization methodologies.