Applied Graph Theory in Computer Vision and Pattern Recognition
Download or Read eBook Applied Graph Theory in Computer Vision and Pattern Recognition PDF 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.
| Author | : Abraham Kandel |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 265 |
| Release | : 2007-03-12 |
| ISBN-10 | : 9783540680192 |
| ISBN-13 | : 3540680195 |
| Rating | : 4/5 (92 Downloads) |
Book Synopsis Applied Graph Theory in Computer Vision and Pattern Recognition by : Abraham Kandel
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.
