Image Analysis, Random Fields and Markov Chain Monte Carlo Methods

A Mathematical Introduction

Gerhard Winkler

388 pages, parution le 04/12/2002 (2^eme édition)

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Résumé

This second edition of G. Winkler's successful book on random field approaches to image analysis, related Markov Chain Monte Carlo methods, and statistical inference with emphasis on Bayesian image analysis concentrates more on general principles and models and less on details of concrete applications. Addressed to students and scientists from mathematics, statistics, physics, engineering, and computer science, it will serve as an introduction to the mathematical aspects rather than a survey. Basically no prior knowledge of mathematics or statistics is required. The second edition is in many parts completely rewritten and improved, and most figures are new. The topics of exact sampling and global optimization of likelihood functions have been added. This second edition comes with a CD-ROM by F. Friedrich,containing a host of (live) illustrations for each chapter. In an interactive environment, readers can perform their own experiments to consolidate the subject.

Contents

Bayesian Image Analysis: Introduction
The Gibbs Sampler and Simulated Annealing
Variations of the Gibbs Sampler
Metropolis Algorithms and Spectral Methods
Texture Analysis
Parameter Estimation
Supplement
Appendix

L'auteur - Gerhard Winkler

Winkler, G., Institute of Biomathematics and Biometry (IBB), Neuherberg, Germany

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Gerhard Winkler
Parution	04/12/2002
Édition	2^eme édition
Nb. de pages	388
Format	16 x 24
Couverture	Relié
Poids	740g
Intérieur	Noir et Blanc
EAN13	9783540442134