Overview
- Self-consistent and well-illustrated book
- Appealing book to readers from all walks of like, from undergraduate students to establishes academicians, from theoretical computer scientists to electronic engineers
- Do-it-yourself appeal: all computer experiments presented in the book can be implemented with minimal knowledge of programming
Part of the book series: Emergence, Complexity and Computation (ECC, volume 10)
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Table of contents (13 chapters)
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Front Matter
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Back Matter
Keywords
About this book
The book presents findings, views and ideas on what exact problems of image processing, pattern recognition and generation can be efficiently solved by cellular automata architectures. This volume provides a convenient collection in this area, in which publications are otherwise widely scattered throughout the literature. The topics covered include image compression and resizing; skeletonization, erosion and dilation; convex hull computation, edge detection and segmentation; forgery detection and content based retrieval; and pattern generation.
The book advances the theory of image processing, pattern recognition and generation as well as the design of efficient algorithms and hardware for parallel image processing and analysis. It is aimed at computer scientists, software programmers, electronic engineers, mathematicians and physicists, and at everyone who studies or develops cellular automaton algorithms and tools for image processing and analysis, or develops novel architectures and implementations of massive parallel computing devices.
The book will provide attractive reading for a general audience because it has do-it-yourself appeal:Â all the computer experiments presented within it can be implemented with minimal knowledge of programming. The simplicity yet substantial functionality of the cellular automaton approach, and the transparency of the algorithms proposed, makes the text ideal supplementary reading for courses on image processing, parallel computing, automata theory and applications.
Editors and Affiliations
Bibliographic Information
Book Title: Cellular Automata in Image Processing and Geometry
Editors: Paul Rosin, Andrew Adamatzky, Xianfang Sun
Series Title: Emergence, Complexity and Computation
DOI: https://doi.org/10.1007/978-3-319-06431-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-06430-7Published: 13 June 2014
Softcover ISBN: 978-3-319-35632-7Published: 10 September 2016
eBook ISBN: 978-3-319-06431-4Published: 29 May 2014
Series ISSN: 2194-7287
Series E-ISSN: 2194-7295
Edition Number: 1
Number of Pages: XVI, 304
Number of Illustrations: 115 b/w illustrations, 49 illustrations in colour
Topics: Computational Intelligence, Image Processing and Computer Vision, Complexity, Artificial Intelligence