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Author: Katsushi Inoue
Publisher: World Scientific
Published: 1994
Total Pages: 235
ISBN-13: 9810218664
DOWNLOAD EBOOKThis 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.
Author: T. Bräunl
Publisher: Springer Science & Business Media
Published: 2013-04-17
Total Pages: 206
ISBN-13: 3662043270
DOWNLOAD EBOOKThis 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.
Author: L. S. Davis
Publisher: World Scientific
Published: 1996
Total Pages: 260
ISBN-13: 9789810224769
DOWNLOAD EBOOKThis 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.
Author: Serge Miguet
Publisher: World Scientific
Published: 1998
Total Pages: 148
ISBN-13: 9789810234584
DOWNLOAD EBOOKThis 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.
Author: L S Davis
Publisher: World Scientific
Published: 1995-12-26
Total Pages: 254
ISBN-13: 9814499617
DOWNLOAD EBOOKThis 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.
Author: John C. Russ
Publisher: CRC Press
Published: 2017-12-19
Total Pages: 394
ISBN-13: 1420006495
DOWNLOAD EBOOKImage 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.
Author: Tony F. Chan
Publisher: SIAM
Published: 2005-09-01
Total Pages: 414
ISBN-13: 089871589X
DOWNLOAD EBOOKThis 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.
Author: Virginio Cantoni
Publisher: World Scientific
Published: 1990-03-01
Total Pages: 804
ISBN-13: 981452722X
DOWNLOAD EBOOKThis volume contains papers presented at the 5th International Conference on Image Analysis and Processing. It covers the most important topics of current interest in the field, presenting a large collection of recent results achieved by leading academic and industrial research groups from several countries. It contains invited lectures and research papers dealing with theoretical and applicative aspects of Image Processing. It is a valuable and updated reference source for the Image Processing community. It contains advanced architectural concepts and describes new frontiers for applicants.
Author: Carlo Braccini
Publisher: Springer Science & Business Media
Published: 1995-08-30
Total Pages: 852
ISBN-13: 9783540602989
DOWNLOAD EBOOKThis book presents the proceedings of the 8th International Conference on Image Analysis and Processing, ICIAP '95, held in Sanremo, Italy in September 1995 under the sponsorship of the International Association of Pattern Recognition IAPR. The volume presents 108 papers selected from more than 180 submissions together with six invited contributions. The papers are written by a total of 265 contributing authors and give a comprehensive state-of-the-art report on all current issues of image analysis and processing. Theoretical aspects are addressed as well as systems design and advanced applications, particularly in medical imaging.
Author: Arun Kumar Sangaiah
Publisher: Academic Press
Published: 2019-07-26
Total Pages: 282
ISBN-13: 0128172932
DOWNLOAD EBOOKDeep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, mining, recommendation systems, image processing, pattern recognition and predictions using deep learning paradigms is the major strength of this book. This book integrates the core ideas of deep learning and its applications in bio engineering application domains, to be accessible to all scholars and academicians. The proposed techniques and concepts in this book can be extended in future to accommodate changing business organizations' needs as well as practitioners' innovative ideas. - Presents novel, in-depth research contributions from a methodological/application perspective in understanding the fusion of deep machine learning paradigms and their capabilities in solving a diverse range of problems - Illustrates the state-of-the-art and recent developments in the new theories and applications of deep learning approaches applied to parallel computing environment in bioengineering systems - Provides concepts and technologies that are successfully used in the implementation of today's intelligent data-centric critical systems and multi-media Cloud-Big data
