Cover Image

Markov Random Field Modeling in Image Analysis /

Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms systematically when used with optimization principles. This book presents a comprehensive study on the use of MRFs for sol...

Full description

Bibliographic Details
Main Author: Li, Stan Z.
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Tokyo : Springer Japan, 2001.
Series:Computer science workbench.
Subjects:
Computer science.
Computer vision.
Optical pattern recognition.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Foreword by Anil K. Jain
  • Introduction
  • Low Level MRF Models
  • Discontinuities in MRFs
  • Discontinuity-Adaptivity Model and Robust Estimation
  • High Level MRF Models
  • MRF Parameter Estimation
  • Parameter Estimation in Optimal Object Recognition
  • Minimization
  • Local Methods
  • Minimization
  • Global Methods
  • References
  • List of Notation
  • Index. The complete table of contents can be found on the Internet: http://www.springer.de.