Markov Random Field Modeling in Image Analysis

Easy-to-follow and coherent, the revised edition is accessible, includes the most recent advances, and has new and expanded sections on such topics as: Conditional Random Fields; Discriminative Random Fields; Total Variation (TV) Models; Spatio-temporal Models; MRF and Bayesian Network (Graphical Mo...

Full description

Main Author: Li, Stan Z.
Corporate Author: SpringerLink (Online service)
Format: eBook
Published: London Springer London 2009, 2009
Edition:3rd ed. 2009
Series:Advances in Computer Vision and Pattern Recognition
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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