Markov Random Field Modeling in Image Analysis

• Main Author: Li, Stan Z. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London, 2009.
• Series: Advances in Pattern Recognition,
• Subjects: Computer science.; Computer science > Mathematics.; Image processing.; Pattern recognition.; Probabilities.; Computer Science.; Image Processing and Computer Vision.; Pattern Recognition.; Probability Theory and Stochastic Processes.; Mathematics of Computing.

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:

• Mathematical MRF Models
• Low-Level MRF Models
• High-Level MRF Models
• Discontinuities in MRF#x0027;s
• MRF Model with Robust Statistics
• MRF Parameter Estimation
• Parameter Estimation in Optimal Object Recognition
• Minimization – Local Methods
• Minimization – Global Methods.