[PDF.87zg] Applied Graph Theory in Computer Vision and Pattern Recognition (Studies in Computational Intelligence)

Applied Graph Theory in Computer Vision and Pattern Recognition (Studies in Computational Intelligence)

[PDF.ep89] Applied Graph Theory in Computer Vision and Pattern Recognition (Studies in Computational Intelligence)

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 | #15534252 in Books |  2010-11-19 | Original language:English | PDF # 1 |  9.25 x.63 x6.10l,.86 | File type: PDF | 266 pages

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||From the Back Cover||This book will serve as a foundation for a variety of useful applications of graph theory to computer vision, pattern recognition, and related areas. It covers a representative set of novel graph-theoretic methods for complex computer vision

This book presents novel graph-theoretic methods for complex computer vision and pattern recognition tasks. It presents the application of graph theory to low-level processing of digital images, presents graph-theoretic learning algorithms for high-level computer vision and pattern recognition applications, and provides detailed descriptions of several applications of graph-based methods to real-world pattern recognition tasks.

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