Applied Graph Theory in Computer Vision and Pattern Recognition

Applied Graph Theory in Computer Vision and Pattern Recognition
Author :
Publisher : Springer Science & Business Media
Total Pages : 265
Release :
ISBN-10 : 9783540680192
ISBN-13 : 3540680195
Rating : 4/5 (195 Downloads)

Book Synopsis Applied Graph Theory in Computer Vision and Pattern Recognition by : Abraham Kandel

Download or read book Applied Graph Theory in Computer Vision and Pattern Recognition written by Abraham Kandel and published by Springer Science & Business Media. This book was released on 2007-03-12 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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