Author : Ioannis Pitas
Publisher : Unknown
Page : 395 pages
File Size : 49,9 Mb
Release : 1993
Category : Computer vision
ISBN : OCLC:654218488
Parallel Algorithms
Ioannis Pitas
Parallel Algorithms For Digital Image Processing Computer Vision And Neural Networks
Parallel Algorithms For Digital Image Processing Computer Vision And Neural Networks Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Parallel Algorithms For Digital Image Processing Computer Vision And Neural Networks book. This book definitely worth reading, it is an incredibly well-written.
Parallel Image Processing
A Saoudi,M Nivat,P S P Wang
Author : A Saoudi,M Nivat,P S P Wang
Publisher : World Scientific
Page : 480 pages
File Size : 47,8 Mb
Release : 1992-10-29
Category : Computers
ISBN : 9789814505239
Parallel Image Processing by A Saoudi,M Nivat,P S P Wang Pdf
Contents:Three-Dimensional Object Pattern Representation by Array Grammars (P S P Wang)Stochastic Puzzle Grammars (R Siromoney et al.)Parallel Recognition of High Dimensional Images (M Nivat & A Saoudi)Two-Dimensional Uniquely Parsable Isometric Array Grammars (Y Yamamoto & K Morita)Replicated Image Algorithms and Their Analyses on SIMD Machines (P J Narayanan & L S Davis)The Depth and Motion Analysis Machine (O D Faugeras et al.)Image Analysis on Massively Parallel Computers: An Architecture Point of View (A Mérigot & B Zavidovique)Parallel Algorithm for Colour Texture Generation Using the Random Neural Network Model (V Atalay & E Gelenbe)and other papers Readership: Computer scientists. keywords:
Digital Image Processing Algorithms and Applications
Ioannis Pitas
Author : Ioannis Pitas
Publisher : John Wiley & Sons
Page : 436 pages
File Size : 47,5 Mb
Release : 2000-02-22
Category : Technology & Engineering
ISBN : 0471377392
Digital Image Processing Algorithms and Applications by Ioannis Pitas Pdf
A unique collection of algorithms and lab experiments for practitioners and researchers of digital image processing technology With the field of digital image processing rapidly expanding, there is a growing need for a book that would go beyond theory and techniques to address the underlying algorithms. Digital Image Processing Algorithms and Applications fills the gap in the field, providing scientists and engineers with a complete library of algorithms for digital image processing, coding, and analysis. Digital image transform algorithms, edge detection algorithms, and image segmentation algorithms are carefully gleaned from the literature for compatibility and a track record of acceptance in the scientific community. The author guides readers through all facets of the technology, supplementing the discussion with detailed lab exercises in EIKONA, his own digital image processing software, as well as useful PDF transparencies. He covers in depth filtering and enhancement, transforms, compression, edge detection, region segmentation, and shape analysis, explaining at every step the relevant theory, algorithm structure, and its use for problem solving in various applications. The availability of the lab exercises and the source code (all algorithms are presented in C-code) over the Internet makes the book an invaluable self-study guide. It also lets interested readers develop digital image processing applications on ordinary desktop computers as well as on Unix machines.
Recent Advances in Computer Vision Applications Using Parallel Processing
Khalid M. Hosny,Ahmad Salah
Author : Khalid M. Hosny,Ahmad Salah
Publisher : Springer Nature
Page : 126 pages
File Size : 54,7 Mb
Release : 2023-01-23
Category : Technology & Engineering
ISBN : 9783031187353
Recent Advances in Computer Vision Applications Using Parallel Processing by Khalid M. Hosny,Ahmad Salah Pdf
This comprehensive book is primarily intended for researchers, computer vision specialists, and high-performance computing specialists who are interested in parallelizing computer vision techniques for the sake of accelerating the run-time of computer vision methods. This book covers different penalization methods on different parallel architectures such as multi-core CPUs and GPUs. It is also a valuable reference resource for researchers at all levels (e.g., undergraduate and postgraduate) who are seeking real-life examples of speeding up the computer vision methods’ run-time.
Parallel Image Analysis and Processing
K Inoue,A Nakamura,M Nivat,A Saoudi,P S P Wang
Author : K Inoue,A Nakamura,M Nivat,A Saoudi,P S P Wang
Publisher : World Scientific
Page : 236 pages
File Size : 54,9 Mb
Release : 1994-08-01
Category : Computers
ISBN : 9789814520126
Parallel Image Analysis and Processing by K Inoue,A Nakamura,M Nivat,A Saoudi,P S P Wang Pdf
This review volume contains a selection of papers by leading experts in the areas of Parallel Image Analysis, 2-D, 3-D Grammars and Automata and Neural Nets and Learning. Contents: From Equations to Hardware. Towards the Systematic Mapping of Algorithms onto Parallel Architectures (F Charot et al.)Manipulations of Octrees and Quadtrees on Multiprocessors (V Chaudhary et al.)Parallel Algorithms for Multi-Dimensional Image Template Matching (A Saoudi & M Nivat)Mesh Algorithms for Finding Repetitions and Partial Symmetries in Arrays (S L Tanimoto & R Miller)Path-Controlled Graph Grammars for Syntactic Pattern Recognition (K Aizawa & A Nakamura)A Characterization of Recognizable Picture Languages (K Inoue & I Takanami)Constant Leaf-Size Hierarchy of Two-Dimensional Alternating Turning Machines (A Ito et al.)Context-Sensitivity of Puzzle Grammars (P Laroche et al.)Parallel Generations and Parsing of Array Languages Using Reversible Cellular Automata (K Morita & S Ueno)Three-Dimensional Sequential/Parallel Universal Array Grammars for Polyhedral Object Pattern Analysis (P S P Wang)Shape Recovery and Error Correction Based on Hypothetical Constraints by Parallel Network for Energy Minimization (K Kakusho et al.)Use of Gradated Patterns in an Associative Neural Memory for Invariant Pattern Recognition (K Kobara et al.)Learning of Recognizable Picture Languages (R Siromoney et al.)Learning Equal Matrix Grammars Based on Control Sets (Y Takada) Readership: Computer scientists. keywords:
High-Performance Medical Image Processing
Sanjay Saxena,Sudip Paul
Author : Sanjay Saxena,Sudip Paul
Publisher : CRC Press
Page : 337 pages
File Size : 48,7 Mb
Release : 2022-07-07
Category : Computers
ISBN : 9781000410372
High-Performance Medical Image Processing by Sanjay Saxena,Sudip Paul Pdf
The processing of medical images in a reasonable timeframe and with high definition is very challenging. This volume helps to meet that challenge by presenting a thorough overview of medical imaging modalities, its processing, high-performance computing, and the need to embed parallelism in medical image processing techniques to achieve efficient and fast results. With contributions from researchers from prestigious laboratories and educational institutions, High-Performance Medical Image Processing provides important information on medical image processing techniques, parallel computing techniques, and embedding parallelism in different image processing techniques. A comprehensive review of parallel algorithms in medical image processing problems is a key feature of this book. The volume presents the relevant theoretical frameworks and the latest empirical research findings in the area and provides detailed descriptions about the diverse high-performance techniques. Topics discussed include parallel computing, multicore architectures and their applications in image processing, machine learning applications, conventional and advanced magnetic resonance imaging methods, hyperspectral image processing, algorithms for segmenting 2D slices for 3D viewing, and more. Case studies, such as on the detection of cancer tumors, expound on the information presented. Key features: Provides descriptions of different medical imaging modalities and their applications Discusses the basics and advanced aspects of parallel computing with different multicore architectures Expounds on the need for embedding data and task parallelism in different medical image processing techniques Presents helpful examples and case studies of the discussed methods This book will be valuable for professionals, researchers, and students working in the field of healthcare engineering, medical imaging technology, applications in machine and deep learning, and more. It is also appropriate for courses in computer engineering, biomedical engineering and electrical engineering based on artificial intelligence, parallel computing, high performance computing, and machine learning and its applications in medical imaging.
Parallel Algorithms for Machine Intelligence and Vision
Vipin Kumar,P.S. Gopalakrishnan,Laveen N. Kanal
Author : Vipin Kumar,P.S. Gopalakrishnan,Laveen N. Kanal
Publisher : Springer Science & Business Media
Page : 445 pages
File Size : 41,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461233909
Parallel Algorithms for Machine Intelligence and Vision by Vipin Kumar,P.S. Gopalakrishnan,Laveen N. Kanal Pdf
Recent research results in the area of parallel algorithms for problem solving, search, natural language parsing, and computer vision, are brought together in this book. The research reported demonstrates that substantial parallelism can be exploited in various machine intelligence and vision problems. The chapter authors are prominent researchers actively involved in the study of parallel algorithms for machine intelligence and vision. Extensive experimental studies are presented that will help the reader in assessing the usefulness of an approach to a specific problem. Intended for students and researchers actively involved in parallel algorithms design and in machine intelligence and vision, this book will serve as a valuable reference work as well as an introduction to several research directions in these areas.
Parallel Image Processing
T. Bräunl,S. Feyrer,W. Rapf,M. Reinhardt
Author : T. Bräunl,S. Feyrer,W. Rapf,M. Reinhardt
Publisher : Springer Science & Business Media
Page : 206 pages
File Size : 41,8 Mb
Release : 2013-04-17
Category : Computers
ISBN : 9783662043271
Parallel Image Processing by T. Bräunl,S. Feyrer,W. Rapf,M. Reinhardt Pdf
This book introduces the area of image processing and data-parallel processing. It covers a number of standard algorithms in image processing and describes their parallel implementation. The programming language chosen for all examples is a structured parallel programming language which is ideal for educational purposes. It has a number of advantages over C, and since all image processing tasks are inherently parallel, using a parallel language for presentation actually simplifies the subject matter. This results in shorter source codes and a better understanding. Sample programs and a free compiler are available on an accompanying Web site.
Digital Image Processing Algorithms
Ioannis Pitas
Author : Ioannis Pitas
Publisher : Unknown
Page : 362 pages
File Size : 40,5 Mb
Release : 1993
Category : Algorithms
ISBN : OCLC:652434118
Digital Image Processing Algorithms by Ioannis Pitas Pdf
Deep Learning for Image Processing Applications
D.J. Hemanth,V. Vieira Estrela
Author : D.J. Hemanth,V. Vieira Estrela
Publisher : IOS Press
Page : 284 pages
File Size : 43,6 Mb
Release : 2017-12
Category : Computers
ISBN : 9781614998228
Deep Learning for Image Processing Applications by D.J. Hemanth,V. Vieira Estrela Pdf
Deep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, and security and surveillance. The aim of this book, ‘Deep Learning for Image Processing Applications’, is to offer concepts from these two areas in the same platform, and the book brings together the shared ideas of professionals from academia and research about problems and solutions relating to the multifaceted aspects of the two disciplines. The first chapter provides an introduction to deep learning, and serves as the basis for much of what follows in the subsequent chapters, which cover subjects including: the application of deep neural networks for image classification; hand gesture recognition in robotics; deep learning techniques for image retrieval; disease detection using deep learning techniques; and the comparative analysis of deep data and big data. The book will be of interest to all those whose work involves the use of deep learning and image processing techniques.
Parallel And Distributed Signal And Image Integration Problems - Proceedings Of The Indo-us Workshop
Rabinder N Madan,Lalit M Patnaik,V P Bhatkar,Nageswara S V Rao
Author : Rabinder N Madan,Lalit M Patnaik,V P Bhatkar,Nageswara S V Rao
Publisher : World Scientific
Page : 482 pages
File Size : 52,6 Mb
Release : 1995-06-09
Category : Electronic
ISBN : 9789814549677
Parallel And Distributed Signal And Image Integration Problems - Proceedings Of The Indo-us Workshop by Rabinder N Madan,Lalit M Patnaik,V P Bhatkar,Nageswara S V Rao Pdf
The next generation of engineering and computing systems will be both complex and distributed in functionality due to a variety of information sources needed for their operation. Successful development and deployment of these systems critically depends on the mechanisms for acquisition, coordination, communication and integration of information from various components. This collection of papers addresses various aspects in the area of signal and image integration with a specific emphasis on parallel and distributed solutions. A wide spectrum of issues including image and signal processing, parallel architectures/algorithms, sensor integration/fusion, and neural networks/fuzzy systems, are addressed in various papers.
Parallel Algorithms for Digital Image Processing, Computer Vision and Neural Networks
Ioannis Pitas
Author : Ioannis Pitas
Publisher : Unknown
Page : 424 pages
File Size : 45,7 Mb
Release : 1993-04-09
Category : Computers
ISBN : STANFORD:36105002273584
Parallel Algorithms for Digital Image Processing, Computer Vision and Neural Networks by Ioannis Pitas Pdf
World-renowned contributors present papers concerning algorithms used on the latest generation of parallel machines (MIMD). Details key applications running the gamut from medical imaging, visualization and remote sensing to HDTV, demonstrating the large computational complexity necessary to perform these tasks.
Deep Learning in Computer Vision
Mahmoud Hassaballah,Ali Ismail Awad
Author : Mahmoud Hassaballah,Ali Ismail Awad
Publisher : CRC Press
Page : 322 pages
File Size : 49,5 Mb
Release : 2020-03-23
Category : Computers
ISBN : 9781351003810
Deep Learning in Computer Vision by Mahmoud Hassaballah,Ali Ismail Awad Pdf
Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such as accelerating the convolutional neural network inference on field-programmable gate arrays, fire detection in surveillance applications, face recognition, action and activity recognition, semantic segmentation for autonomous driving, aerial imagery registration, robot vision, tumor detection, and skin lesion segmentation as well as skin melanoma classification. The content of this book has been organized such that each chapter can be read independently from the others. The book is a valuable companion for researchers, for postgraduate and possibly senior undergraduate students who are taking an advanced course in related topics, and for those who are interested in deep learning with applications in computer vision, image processing, and pattern recognition.
Computer Vision
Richard Szeliski
Author : Richard Szeliski
Publisher : Springer Nature
Page : 925 pages
File Size : 47,7 Mb
Release : 2022-01-03
Category : Computers
ISBN : 9783030343729
Computer Vision by Richard Szeliski Pdf
Computer Vision: Algorithms and Applications explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that students can apply to their own personal photos and videos. More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference takes a scientific approach to the formulation of computer vision problems. These problems are then analyzed using the latest classical and deep learning models and solved using rigorous engineering principles. Topics and features: Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses Incorporates totally new material on deep learning and applications such as mobile computational photography, autonomous navigation, and augmented reality Presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects Includes 1,500 new citations and 200 new figures that cover the tremendous developments from the last decade Provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, estimation theory, datasets, and software Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.
Parallel Image Analysis
Akira Nakamura,Maurice Nivat,Ahmed Saoudi,Patrick S.P. Wang,Katsushi Inoue
Author : Akira Nakamura,Maurice Nivat,Ahmed Saoudi,Patrick S.P. Wang,Katsushi Inoue
Publisher : Springer Science & Business Media
Page : 328 pages
File Size : 51,7 Mb
Release : 1992-12-02
Category : Technology & Engineering
ISBN : 3540563466
Parallel Image Analysis by Akira Nakamura,Maurice Nivat,Ahmed Saoudi,Patrick S.P. Wang,Katsushi Inoue Pdf
This volume contains the papers selected for presentation at the Second International Conference on Parallel Image Analysis (ICPIA '92), held in Ube, Japan, December 21-23, 1992. The conference topics are data structures, parallel algorithms and architectures, neural networks, computational vision, syntactic generation and recognition, and multidimensional models. The first meeting with these topics was theInternational Colloquium on Parallel Image Processing, which took place in Paris in June 1991. The aim of the meetings is to bring together specialistsfrom various countries who are interested in the topics and to stimulatetheoretical and practical research in the field of parallel image processingand analysis. The volume contains three invited papers, a summary of a tutorial lecture, and twenty selected and refereed communications.