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Image Textures and Gibbs Random Fields

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Release : 2012-12-06
Genre : Computers
Kind : eBook
Book Rating : 613/5 ( reviews)

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Book Synopsis Image Textures and Gibbs Random Fields by : Georgy L. Gimel'farb

Download or read book Image Textures and Gibbs Random Fields written by Georgy L. Gimel'farb. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: Image analysis is one of the most challenging areas in today's computer sci ence, and image technologies are used in a host of applications. This book concentrates on image textures and presents novel techniques for their sim ulation, retrieval, and segmentation using specific Gibbs random fields with multiple pairwise interaction between signals as probabilistic image models. These models and techniques were developed mainly during the previous five years (in relation to April 1999 when these words were written). While scanning these pages you may notice that, in spite of long equa tions, the mathematical background is extremely simple. I have tried to avoid complex abstract constructions and give explicit physical (to be spe cific, "image-based") explanations to all the mathematical notions involved. Therefore it is hoped that the book can be easily read both by professionals and graduate students in computer science and electrical engineering who take an interest in image analysis and synthesis. Perhaps, mathematicians studying applications of random fields may find here some less traditional, and thus controversial, views and techniques.

Image Texture Analysis Based on Gaussian Markov Random Fields

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Author :
Release : 2014
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Image Texture Analysis Based on Gaussian Markov Random Fields by : Chathurika Dharmagunawardhana

Download or read book Image Texture Analysis Based on Gaussian Markov Random Fields written by Chathurika Dharmagunawardhana. This book was released on 2014. Available in PDF, EPUB and Kindle. Book excerpt:

Image Analysis, Random Fields and Markov Chain Monte Carlo Methods

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Author :
Release : 2003
Genre : Computers
Kind : eBook
Book Rating : 134/5 ( reviews)

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Book Synopsis Image Analysis, Random Fields and Markov Chain Monte Carlo Methods by : Gerhard Winkler

Download or read book Image Analysis, Random Fields and Markov Chain Monte Carlo Methods written by Gerhard Winkler. This book was released on 2003. Available in PDF, EPUB and Kindle. Book excerpt: CD-ROM (version a 1.01) includes: software "AntsInFields", graphical user interfaces, an an educational, self explaining, and self contained library of living documents.--Intro. p. 5.

Statistical-based Image Texture Modeling and Synthesis Using Markov Random Fields

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Author :
Release : 2004
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Statistical-based Image Texture Modeling and Synthesis Using Markov Random Fields by :

Download or read book Statistical-based Image Texture Modeling and Synthesis Using Markov Random Fields written by . This book was released on 2004. Available in PDF, EPUB and Kindle. Book excerpt:

Markov Random Field Modeling in Image Analysis

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Author :
Release : 2013-03-14
Genre : Computers
Kind : eBook
Book Rating : 440/5 ( reviews)

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Book Synopsis Markov Random Field Modeling in Image Analysis by : Stan Z. Li

Download or read book Markov Random Field Modeling in Image Analysis written by Stan Z. Li. This book was released on 2013-03-14. Available in PDF, EPUB and Kindle. Book excerpt: Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms systematically when used with optimization principles. This book presents a comprehensive study on the use of MRFs for solving computer vision problems. The book covers the following parts essential to the subject: introduction to fundamental theories, formulations of MRF vision models, MRF parameter estimation, and optimization algorithms. Various vision models are presented in a unified framework, including image restoration and reconstruction, edge and region segmentation, texture, stereo and motion, object matching and recognition, and pose estimation. This second edition includes the most important progress in Markov modeling in image analysis in recent years such as Markov modeling of images with "macro" patterns (e.g. the FRAME model), Markov chain Monte Carlo (MCMC) methods, reversible jump MCMC. This book is an excellent reference for researchers working in computer vision, image processing, statistical pattern recognition and applications of MRFs. It is also suitable as a text for advanced courses in these areas.

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