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 systematic development of optimal vision algorithms when used with optimization principles. This detailed and thoroughly enhanced third edition presents a compreh...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Li, Stan Z. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2009.
Edición:3rd ed. 2009.
Colección:Advances in Computer Vision and Pattern Recognition,
Temas:
Computer vision.
Pattern recognition systems.
Probabilities.
Computer science-Mathematics.
Computer Vision.
Automated Pattern Recognition.
Probability Theory.
Mathematics of Computing.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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