Applied Graph Theory in Computer Vision and Pattern Recognition
Publication year: 2007
ISBN: 978-3-540-68020-8
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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.
Subject: Engineering, Matching, algorithm, algorithms, classification, cognition, computer vision, fingerprint, graph theory, graphs, image processing, image segmentation, learning, network, pattern, pattern recognition
