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Image Textures and Gibbs Random Fields (Computational Imaging and Vision) - Hardcover

 
9780792359616: Image Textures and Gibbs Random Fields (Computational Imaging and Vision)

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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.

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9789401059121: Image Textures and Gibbs Random Fields (Computational Imaging and Vision)

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ISBN 10:  9401059128 ISBN 13:  9789401059121
Publisher: Springer, 2012
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Georgy L. Gimel'farb
Published by Kluwer Academic Publishers, 1999
ISBN 10: 0792359615 ISBN 13: 9780792359616
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Hardcover. Condition: 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. Seller Inventory # E-521-481

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Gimel'farb, Georgy L.
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Gimel'farb, Georgii L'Vovich
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Gebunden. Condition: 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. Seller Inventory # 898698849

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Gimelfarb, Georgy Lvovich
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Hardcover. Condition: new. Hardcover. This text presents 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. Presenting techniques for describing image textures, this text deduces the Gibbs models from basic image features and tailors the modelling framework to the images. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9780792359616

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Published by Springer Sep 1999, 1999
ISBN 10: 0792359615 ISBN 13: 9780792359616
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Buch. Condition: 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. Seller Inventory # 9780792359616

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