| Title:
|
APPLIED GRAPH THEORY IN COMPUTER VISION AND PATTERN RECOGNITION
|
| By: |
Abraham Kandel (Editor), Horst Bunke (Editor), Mark Last (Editor) |
| Format: |
Hardback |
| List price:
|
£129.99 |
|
We currently do not stock this item, please contact the publisher directly for
further information.
|
|
|
|
|
|
| ISBN 10: |
3540680195 |
| ISBN 13: |
9783540680192 |
| Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
| Pub. date: |
12 March, 2007 |
| Edition: |
2007 ed. |
| Series: |
Studies in Computational Intelligence 52 |
| Pages: |
266 |
| Description: |
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. |
| Synopsis: |
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. |
| Illustrations: |
17 Tables, black and white; X, 266 p. |
| Publication: |
Germany |
| Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
| Returns: |
Returnable |