Download or read book Image Processing and Analysis written by Tony F. Chan and published by SIAM. This book was released on 2005-09-01 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book develops the mathematical foundation of modern image processing and low-level computer vision, bridging contemporary mathematics with state-of-the-art methodologies in modern image processing, whilst organizing contemporary literature into a coherent and logical structure. The authors have integrated the diversity of modern image processing approaches by revealing the few common threads that connect them to Fourier and spectral analysis, the machinery that image processing has been traditionally built on. The text is systematic and well organized: the geometric, functional, and atomic structures of images are investigated, before moving to a rigorous development and analysis of several image processors. The book is comprehensive and integrative, covering the four most powerful classes of mathematical tools in contemporary image analysis and processing while exploring their intrinsic connections and integration. The material is balanced in theory and computation, following a solid theoretical analysis of model building and performance with computational implementation and numerical examples.
Download or read book Parallel Image Processing written by T. Bräunl and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Real Time Parallel Computing written by Morio Onoe and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Parallel Image Processing and Analysis written by R. Siromoney and published by . This book was released on 2000 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction to Image Processing and Analysis written by John C. Russ and published by CRC Press. This book was released on 2017-12-19 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image processing comprises a broad variety of methods that operate on images to produce another image. A unique textbook, Introduction to Image Processing and Analysis establishes the programming involved in image processing and analysis by utilizing skills in C compiler and both Windows and MacOS programming environments. The provided mathematical background illustrates the workings of algorithms and emphasizes the practical reasons for using certain methods, their effects on images, and their appropriate applications. The text concentrates on image processing and measurement and details the implementation of many of the most widely used and most important image processing and analysis algorithms. Homework problems are included in every chapter with solutions available for download from the CRC Press website The chapters work together to combine image processing with image analysis. The book begins with an explanation of familiar pixel array and goes on to describe the use of frequency space. Chapters 1 and 2 deal with the algorithms used in processing steps that are usually accomplished by a combination of measurement and processing operations, as described in chapters 3 and 4. The authors present each concept using a mixture of three mutually supportive tools: a description of the procedure with example images, the relevant mathematical equations behind each concept, and the simple source code (in C), which illustrates basic operations. In particularly, the source code provides a starting point to develop further modifications. Written by John Russ, author of esteemed Image Processing Handbook now in its fifth edition, this book demonstrates functions to improve an image's of features and detail visibility, improve images for printing or transmission, and facilitate subsequent analysis.
Download or read book Parallel and Distributed Methods for Image Processing written by and published by . This book was released on 1998 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Parallel Image Analysis and Processing written by Katsushi Inoue and published by World Scientific. This book was released on 1994 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Parallel Image Analysis written by L. S. Davis and published by World Scientific. This book was released on 1996 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Analysis of Some Parallel Image Processing Algorithms written by Hune Cho and published by . This book was released on 1986 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Parallel Image Analysis written by Serge Miguet and published by World Scientific. This book was released on 1998 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Parallel Image Analysis Tools And Models written by Serge Miguet and published by World Scientific. This book was released on 1998-05-05 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Parallélisme of the Ecole Normale Supérieure 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.
Download or read book High Performance Medical Image Processing written by Sanjay Saxena and published by CRC Press. This book was released on 2022-07-07 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Parallel Image Processing written by M Nivat and published by World Scientific. This book was released on 1992-10-29 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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:
Download or read book Parallel Computation in Image Processing written by Steven L. Tanimoto and published by Cambridge International Series on Parallel Computation. This book was released on 2008-03 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Image Processing written by Yung-Sheng Chen and published by BoD – Books on Demand. This book was released on 2009-12-01 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are six sections in this book. The first section presents basic image processing techniques, such as image acquisition, storage, retrieval, transformation, filtering, and parallel computing. Then, some applications, such as road sign recognition, air quality monitoring, remote sensed image analysis, and diagnosis of industrial parts are considered. Subsequently, the application of image processing for the special eye examination and a newly three-dimensional digital camera are introduced. On the other hand, the section of medical imaging will show the applications of nuclear imaging, ultrasound imaging, and biology. The section of neural fuzzy presents the topics of image recognition, self-learning, image restoration, as well as evolutionary. The final section will show how to implement the hardware design based on the SoC or FPGA to accelerate image processing.
Download or read book Integrated Technology for Parallel Image Processing written by S. Levialdi and published by . This book was released on 1985 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Very Good,No Highlights or Markup,all pages are intact.
Download or read book Deep Learning for Image Processing Applications written by D.J. Hemanth and published by IOS Press. This book was released on 2017-12 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
