Authors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Stochastic Modelling and Applied Probability (SMAP, volume 27)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (22 chapters)
-
Front Matter
-
Introduction
-
Bayesian Image Analysis: Introduction
-
Front Matter
-
-
The Gibbs Sampler and Simulated Annealing
-
Front Matter
-
-
Variations of the Gibbs Sampler
-
Front Matter
-
-
Metropolis Algorithms and Spectral Methods
-
Front Matter
-
-
Texture Analysis
-
Front Matter
-
About this book
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.
Reviews
From the reviews of the second edition:
"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 in this approach. … 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 and an abundant bibliography pointing to more detailed related work." (Pham Dinh Tuan, Mathematical Reviews, Issue 2004 c)
"Based on the Baysian approach the author focuses on the principles of classical image analysis rather than on applications and implementations. Little mathematical knowledge is needed to read the book, thus it is well suited for lectures on image analysis." (Ch. Cenker, Monatshefte für Mathematik, Vol. 146 (4), 2005)
Authors and Affiliations
-
IBB — Institute of Biomathematics and Biometry, GSF — National Research Centre for Environment and Health, Neuherberg/München, Germany
Gerhard Winkler
Bibliographic Information
Book Title: Image Analysis, Random Fields and Markov Chain Monte Carlo Methods
Book Subtitle: A Mathematical Introduction
Authors: Gerhard Winkler
Series Title: Stochastic Modelling and Applied Probability
DOI: https://doi.org/10.1007/978-3-642-55760-6
Publisher: Springer Berlin, Heidelberg
-
eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag GmbH Germany 2003
Hardcover ISBN: 978-3-540-44213-4Published: 26 November 2002
Softcover ISBN: 978-3-642-62911-2Published: 22 September 2012
eBook ISBN: 978-3-642-55760-6Published: 06 December 2012
Series ISSN: 0172-4568
Series E-ISSN: 2197-439X
Edition Number: 2
Number of Pages: XVI, 387
Topics: Probability Theory and Stochastic Processes, Image Processing and Computer Vision, Numerical Analysis, Simulation and Modeling, Imaging / Radiology, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences