Image Analysis, Random Fields and Markov Chain Monte Carlo Methods

Image Analysis, Random Fields and Markov Chain Monte Carlo Methods
Author :
Publisher : Springer Science & Business Media
Total Pages : 389
Release :
ISBN-10 : 9783642557606
ISBN-13 : 3642557600
Rating : 4/5 (600 Downloads)

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 and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book is concerned with a probabilistic approach for image analysis, mostly from the Bayesian point of view, and the important Markov chain Monte Carlo methods commonly used....This book will be useful, especially to researchers with a strong background in probability and an interest in image analysis. The author has presented the theory with rigor...he doesn’t neglect applications, providing numerous examples of applications to illustrate the theory." -- MATHEMATICAL REVIEWS


Image Analysis, Random Fields and Markov Chain Monte Carlo Methods Related Books

Image Analysis, Random Fields and Markov Chain Monte Carlo Methods
Language: en
Pages: 389
Authors: Gerhard Winkler
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

GET EBOOK

"This book is concerned with a probabilistic approach for image analysis, mostly from the Bayesian point of view, and the important Markov chain Monte Carlo met
Image Analysis, Random Fields and Dynamic Monte Carlo Methods
Language: en
Pages: 321
Authors: Gerhard Winkler
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

GET EBOOK

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 a
Markov Random Field Modeling in Image Analysis
Language: en
Pages: 372
Authors: Stan Z. Li
Categories: Computers
Type: BOOK - Published: 2009-04-03 - Publisher: Springer Science & Business Media

GET EBOOK

Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal
Markov Chains
Language: en
Pages: 456
Authors: Pierre Bremaud
Categories: Mathematics
Type: BOOK - Published: 2013-03-09 - Publisher: Springer Science & Business Media

GET EBOOK

Primarily an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level, the primary objective of this book is to initi
Markov Chain Monte Carlo in Practice
Language: en
Pages: 505
Authors: W.R. Gilks
Categories: Mathematics
Type: BOOK - Published: 1995-12-01 - Publisher: CRC Press

GET EBOOK

In a family study of breast cancer, epidemiologists in Southern California increase the power for detecting a gene-environment interaction. In Gambia, a study h