Applied Graph Theory in Computer Vision and Pattern Recognition
| Author | : Abraham Kandel |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 265 |
| Release | : 2007-03-12 |
| 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.
