Image Textures and Gibbs Random Fields
Book Details
Format
Hardback or Cased Book
Book Series
Computational Imaging and Vision
ISBN-10
0792359615
ISBN-13
9780792359616
Publisher
Kluwer Academic Publishers
Imprint
Kluwer Academic Publishers
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Sep 30th, 1999
Print length
264 Pages
Product Classification:
Computer visionImage processing
Ksh 12,950.00
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Presenting techniques for describing image textures, this text deduces the Gibbs models from basic image features and tailors the modelling framework to the images.
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.
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