Image Textures and Gibbs Random Fields (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.

General

Imprint:	Kluwer Academic Publishers
Country of origin:	United States
Series:	Computational Imaging and Vision, v. 16
Release date:	September 1999
First published:	September 1999
Authors:	Georgy L. Gimel'farb
Dimensions:	230mm (L)
Format:	Hardcover
Pages:	264
ISBN-13:	978-0-7923-5961-6
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Computing & IT > Applications of computing > Image processing > General
LSN:	0-7923-5961-5
Barcode:	9780792359616

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