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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