Applied Graph Theory in Computer Vision and Pattern Recognition

Applied Graph Theory in Computer Vision and Pattern Recognition

Author
Abraham Kandel, Horst Bunke, Mark Last
Publication Year
2007
Publisher
Springer
Language
English
Document Type
Book
Faculty / Subject Heading
Engineering

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.


Keywords: Engineering / Matching / Algorithm / Algorithms / Classification / Cognition / Computer vision / Fingerprint / Graph theory / Graphs / Image processing / Image segmentation / Learning / Network / Pattern / Pattern recognition