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Könyv Image Analysis, Random Fields and Dynamic Monte Carlo Methods Gerhard Winkler

Image Analysis, Random Fields and Dynamic Monte Carlo Methods

A Mathematical Introduction

Szerző: Gerhard Winkler
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Elérhetőség: Beszállítói készleten
Küldés 10-18 napon belül
23 704 Ft
This text is concerned with a probabilistic approach to image analysis as initiated by U. GRENANDER,...

Információk a könyvről

Szerző
Gerhard Winkler
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2012
oldal
324
EAN
9783642975240
ISBN
3642975240
Enbook ID
07148660
Kiadó
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Súly
512
Méretek
233 x 156 x 23

Teljes leírás

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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