Image Analysis, Random Fields and Dynamic Monte Carlo Methods : A Mathematical Introduction

Gerhard Winkler

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Language: English

Published by Springer Berlin Heidelberg, 2012

3642975240 / 9783642975240

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Druck auf Anfrage Neuware - Printed after ordering - This text is concerned with a probabilistic approach to image analysis as initiated by U. GRENANDER, D. and S. GEMAN, B.R. HUNT and many others, and developed and popularized by D. and S. GEMAN in a paper from 1984. It formally adopts the Bayesian paradigm and therefore is referred to as 'Bayesian Image Analysis'. There has been considerable and still growing interest in prior models and, in particular, in discrete Markov random field methods. Whereas image analysis is replete with ad hoc techniques, Bayesian image analysis provides a general framework encompassing various problems from imaging. Among those are such 'classical' applications like restoration, edge detection, texture discrimination, motion analysis and tomographic reconstruction. The subject is rapidly developing and in the near future is likely to deal with high-level applications like object recognition. Fascinating experiments by Y. CHOW, U. GRENANDER and D.M. KEENAN (1987), (1990) strongly support this belief.

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Title
Image Analysis, Random Fields and Dynamic Monte Carlo Methods : A Mathematical Introduction
Author
Gerhard Winkler
Publisher
Springer Berlin Heidelberg
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3642975240
ISBN 13
9783642975240
Item weight
517 grams
Dimensions
235x155x19 mm

AHA-BUCH GmbH

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