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. 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. This volume provides a convenient collection in this area, in which publications are otherwise widely scattered throughout the literature. 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.
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