Cellular Automata in Image Processing and Geometry (Paperback, Softcover reprint of the original 1st ed. 2014)

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: 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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Emergence, Complexity and Computation, 10
Release date:	September 2016
First published:	2014
Editors:	Paul Rosin • Andrew Adamatzky • Xianfang Sun
Dimensions:	235 x 155 x 17mm (L x W x T)
Format:	Paperback
Pages:	304
Edition:	Softcover reprint of the original 1st ed. 2014
ISBN-13:	978-3-319-35632-7
Categories:	Books > Reference & Interdisciplinary > General Books > Computing & IT > General
LSN:	3-319-35632-1
Barcode:	9783319356327

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