Image analysis, random fields, and dynamic Monte Carlo methods
Subtitle: a mathematical introduction
By: Gerhard Winkler.
Series: Applications of mathematics ;; 27
Publisher: Springer-Verlag; Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Published: 1995
Place of publication: Berlin; New York
Language: eng
Number of pages: 324
Subjects: Image processing -- Statistical methods.; Markov random fields.; Monte Carlo method.
Description: The book is mainly concerned with the mathematical foundations of Bayesian image analysis and its algorithms. This amounts to the study of Markov random fields and dynamic Monte Carlo algorithms like sampling, simulated annealing and stochastic gradient algorithms. The approach is introductory and elementary: given basic concepts from linear algebra and real analysis it is self-contained. No previous knowledge from image analysis is required.

Knowledge of elementary probability theory and statistics is certainly beneficial but not absolutely necessary. The necessary background from imaging is sketched and illustrated by a number of concrete applications like restoration, texture segmentation and motion analysis.
Notes: Includes bibliographical references (p. [307]-320) and index.