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Applied Graph Theory in Computer Vision and Pattern Recognition
. Ed(S): Kandel, Abraham; Bunke, Horst; Last, Mark
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Description for Applied Graph Theory in Computer Vision and Pattern Recognition
Hardback. Presents graph-theoretic methods for complex computer vision and pattern recognition tasks. This title also 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. Editor(s): Kandel, Abraham; Bunke, Horst; Last, Mark. Series: Studies in Computational Intelligence. Num Pages: 276 pages, 17 black & white tables, biography. BIC Classification: PBV; UYQV. Category: (P) Professional & Vocational. Dimension: 240 x 156 x 21. Weight in Grams: 548.
Graph theory has strong historical roots in mathematics, especially in topology. Its birth is usually associated with the “four-color problem” posed by Francis Guthrie 1 in 1852, but its real origin probably goes back to the Seven Bridges of Konigsber ¨ g 2 problem proved by Leonhard Euler in 1736. A computational solution to these two completely different problems could be found after each problem was abstracted to the level of a graph model while ignoring such irrelevant details as country shapes or cross-river distances. In general, a graph is a nonempty set of points (vertices) and the most basic ... Read more
Graph theory has strong historical roots in mathematics, especially in topology. Its birth is usually associated with the “four-color problem” posed by Francis Guthrie 1 in 1852, but its real origin probably goes back to the Seven Bridges of Konigsber ¨ g 2 problem proved by Leonhard Euler in 1736. A computational solution to these two completely different problems could be found after each problem was abstracted to the level of a graph model while ignoring such irrelevant details as country shapes or cross-river distances. In general, a graph is a nonempty set of points (vertices) and the most basic ... Read more
Product Details
Format
Hardback
Publication date
2007
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
276
Condition
New
Series
Studies in Computational Intelligence
Number of Pages
266
Place of Publication
Berlin, Germany
ISBN
9783540680192
SKU
V9783540680192
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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