Markov Random Field Modeling in Image Analysis

• Main Author: Li, Stan Z. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: London : Springer London, 2009.
• Series: Advances in Pattern Recognition,
• Subjects: Computer science.; Computer vision.; Optical pattern recognition.; Computer Science.; Mathematics of Computing.; Image Processing and Computer Vision.; Pattern Recognition.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-84800-279-1

Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables systematic development of optimal vision algorithms when used with optimization principles. This detailed and thoroughly enhanced third edition presents a compreh...

Table of Contents:

• Introduction
• Mathematical MRF Models
• Low Level MRF Models
• High Level MRF Models
• Discontinuities in MRFs
• Discontinuity-Adaptivity Model and Robust Estimation
• MRF Parameter Estimation
• Parameter Estimation in Optimal Object Recognition
• Minimization: Local Methods
• Minimization: Global Methods
• List of Notation
• Index.