Image Textures and Gibbs Random Fields

Preface. Acknowledgements. Instead of introduction. 1. Texture, Structure, and Pairwise Interactions. 2. Markov and Non-Markov Gibbs Image Models. 3. Supervised MLE-Based Parameter Learning. 4. Supervised Conditional MLE-Based Learning. 5. Experiments in Simulating Natural Textures. 6. Experiments in Retrieving Natural Textures. 7. Experiments in Segmenting Natural Textures. Texture Modelling: Theory vs. Heuristics. References. Index.

Author: Georgii L'Vovich Gimel'farb
Publisher: Kluwer Academic Publishers
Published: 09/30/1999
Pages: 268
Binding Type: Hardcover
Weight: 1.22lbs
Size: 9.21h x 6.14w x 0.63d
ISBN: 9780792359616