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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.
Image Processing and Pattern Recognition Based on Parallel Shift Technology by Stepan Bilan,Sergey Yuzhakov Pdf
This book describes the methods and algorithms for image pre-processing and recognition. These methods are based on a parallel shift technology of the imaging copy, as well as simple mathematical operations to allow the generation of a minimum set of features to describe and recognize the image. This book also describes the theoretical foundations of parallel shift technology and pattern recognition. Based on these methods and theories, this book is intended to help researchers with artificial intelligence systems design, robotics, and developing software and hardware applications.
This book is concerned with the aspects of real-time, parallel computing which are specific to the analysis of digitized images including both the symbolic and semantic data derived from such images. The subjects covered encompass processing, storing, and transmitting images and image data. A variety of techniques and algorithms for the analysis and manipulation of images are explored both theoretically and in terms of implementation in hardware and software. The book is organized into four topic areas: (1) theo retical development, (2) languages for image processing, (3) new computer techniques, and (4) implementation in special purpose real-time digital systems. Computer utilization, methodology, and design for image analy sis presents special and unusual problems. One author (Nagao)* points out that, "Human perception of a scene is very complex. It has not been made clear how perception functions, what one sees in a picture, and how one understands the whole picture. It is almost certain that one carries out a very quick trial-and-error process, starting from the detection of gross prominent features and then analyzing details, using one's knowledge of the world. " Another author (Duff) makes the observation that, "It is therefore more difficult to write computer programs which deal with images than those which deal with numbers, human thinking about arithmetic being a largely conscious activity.
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:
Parallel Computation in Image Processing by Steven L. Tanimoto,Stephan Olariu Pdf
Rapid advances in silicon and other computer technologies are making high speed, parallel image processing computers a reality. These processors will increasingly be massively parallel and embedded in cameras and other sensors. As these devices proliferate, designers of image processing systems need to understand the basic algorithms and programming techniques for realizing solutions to problems in image analysis, vision, data compression, and information retrieval. This book covers key parallel architectures and algorithms for processing images, including both the theory of massively parallel mesh-based architectures and the practical aspects of programming these systems. The techniques presented have applications to computer vision, image compression, image analysis, and information retrieval. The book can be used as a course text for students in electrical engineering and computer science at the graduate and advanced undergraduate levels and as a reference for researchers and working professionals.
Parallel Image Analysis by Serge Miguet,Annick Montanvert,Patrick Shen-pei Wang Pdf
This book contains a selection of papers presented at the Fourth International Workshop on Parallel Image Analysis, held at the Laboratoire de l'Informatique du Paralllisme of the Ecole Normale Suprieure de Lyon, France. It is representative of the traditional topics of the workshop, from theoretical models for parallel image analysis to real life applications implemented on parallel multicomputers.
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.
Author : L S Davis,A Rosenfeld,K Inoue,M Nivat,P S P Wang Publisher : World Scientific Page : 252 pages File Size : 51,9 Mb Release : 1995-12-26 Category : Computers ISBN : 9789814499613
Parallel Image Analysis: Theory and Applications by L S Davis,A Rosenfeld,K Inoue,M Nivat,P S P Wang Pdf
This volume deals with the following topics: 2-D, 3-D automata and grammars, parallel architecture for image processing, parallel digital geometry algorithms, data allocation strategies for parallel image processing algorithms, complexity analysis of parallel image operators. The contributions are written by leading experts in the fields of models, algorithms and architectures for parallel image processing. Contents:Data Allocation Strategies for Parallel Image Processing Algorithms (V Marion-Poty & S Miguet)Facilitating High-Performance Image Analysis on Reduced Hypercube (RH) Parallel Computers (S G Ziavras & M A Sideras)Time-Optimal Digital Geometry Algorithms on Meshes with Multiple Broadcasting (V Bokka et al.)A Time-Optimal Multiple-Query Nearest-Neighbor Algorithm on Meshes with Multiple Broadcasting (I Stoica)A Linear Algorithm for Segmentation of Digital Curves (I Debled-Rennesson & J-P Reveillès)Some Notes on Parallel Coordinate Grammars (A Nakamura)Basic Puzzle Languages (K G Subramanian et al.)Cooperating Systems of Three-Way Two-Dimensional Finite Automata (Y Wang et al.)The Effect of Inkdots for Two-Dimensional Automata (A Ito et al.)On Topology Preservation in 2-D and 3-D Thinning (T Y Kong)Two Methodologies to Implement 3D Thinning Algorithms on Distributed Memory Machines (V Marion-Poty)Analysis and Design of Parallel Thinning Algorithms — A Generic Approach (Y Y Zhang & P S P Wang)A New 26-Connected Objects Surface Tracking Algorithm and Its Related PRAM Version (L Perroton) Readership: Computer scientists. keywords:Parallilism;Digital Geometory;Mesh;Morphology;Array Grammar;Array Automata;Parallel Thinnning;Parallel Processing;Distributed Processing;Image Processing;Parallel Image Processing;Distributed Image Processing;Image Analysis;Parallel Image Analysis;Distributed Image Analysis
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.
Morphological Image Processing: Architecture and VLSI design by P.P. Jonker Pdf
This book describes image processing research based on the morphology of the objects in an image and a VLSI design of a Cellular Logic Processing Element for a real-time processor pipeline. The field of image processing has spawned a number of special parallel computer architectures: the Square (SIMD), Processor Array, the Pyramid, the Linear Processor Array (or scan line array) and the Processor Pipeline. This book features a classification of low-level image processing operations, reviews some intermediate level algorithms, and gives a short introduction into computer architecture used for image and digital signal processing. Morphology-based processing images is introduced by treating cellular logic operations such as skeletonization as hit-or-miss transformations. This approach can be extended to images of higher dimensions than two and a method is described to construct hit-or-miss masks for the skeletonization of these images. In the second part of the book a study is performed on the speed bottlenecks that can be found in the main architectural groups followed by the description of a method for the structured design of integrated, digital hardware. The VLSI design of a CMOS Processing Element for the real-time processing of binary images and the board level design of a scalable processor pipeline for a real-time low-level processing of grey value images is described in detail. Finally, a computer architecture for low and intermediate processing of two and three dimensional images if proposed.
