Image Textures and Gibbs Random Fields

AvGeorgy L. Gimel'farb

Inbunden, Engelska, 1999

Del i serien Computational Imaging and Vision

910 kr

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Häftad

571 kr

E-bok

718 kr

Beskrivning

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.

Produktinformation

Utgivningsdatum:1999-09-30
Mått:160 x 230 x 21 mm
Vikt:571 g
Format:Inbunden
Språk:Engelska
Serie:Computational Imaging and Vision
Antal sidor:264
Förlag:Kluwer Academic Publishers
ISBN:9780792359616

Utforska kategorier

Systemvetenskap och AI inom Data och IT

Innehållsförteckning

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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