Stochastic Modelling and Applied Probability

Image Analysis, Random Fields and Dynamic Monte Carlo Methods

A Mathematical Introduction

Authors: Winkler, Gerhard

Buy this book

eBook $89.00
price for USA (gross)
  • ISBN 978-3-642-97522-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $119.00
price for USA
  • ISBN 978-3-642-97524-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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 elemenatry: 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.

Table of contents (21 chapters)

Buy this book

eBook $89.00
price for USA (gross)
  • ISBN 978-3-642-97522-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $119.00
price for USA
  • ISBN 978-3-642-97524-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Image Analysis, Random Fields and Dynamic Monte Carlo Methods
Book Subtitle
A Mathematical Introduction
Authors
Series Title
Stochastic Modelling and Applied Probability
Series Volume
27
Copyright
1995
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-97522-6
DOI
10.1007/978-3-642-97522-6
Softcover ISBN
978-3-642-97524-0
Series ISSN
0172-4568
Edition Number
1
Number of Pages
XIV, 324
Topics