Sprache: Englisch
Verlag: Kluwer Academic Publishers, 1999
ISBN 10: 0792359615 ISBN 13: 9780792359616
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In den WarenkorbHardcover. Zustand: Très bon. Ancien livre de bibliothèque. Edition 1999. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 1999. Ammareal gives back up to 15% of this item's net price to charity organizations.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In.
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In den WarenkorbHardcover. Zustand: Brand New. 250 pages. 10.00x6.50x0.75 inches. In Stock.
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In den WarenkorbGebunden. Zustand: New. InhaltsverzeichnisPreface. 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.
Buch. Zustand: Neu. Neuware - This book presents novel techniques for describing image textures. Contrary to the usual practice of embedding the images to known modelling frameworks borrowed from statistical physics or other domains, this book deduces the Gibbs models from basic image features and tailors the modelling framework to the images. This approach results in more general Gibbs models than can be either Markovian or non-Markovian and possess arbitrary interaction structures and strengths. The book presents computationally feasible algorithms for parameter estimation and image simulation and demonstrates their abilities and limitations by numerous experimental results. The book avoids too abstract mathematical constructions and gives explicit image-based explanations of all the notions involved. Audience: The book can be read by both specialists and graduate students in computer science and electrical engineering who take an interest in texture analysis and synthesis. Also, the book may be interesting to specialists and graduate students in applied mathematics who explore random fields.