Adaptive Image Restoration and Segmentation Method Using Different Neighborhood Sizes

Adaptive Image Restoration and Segmentation Method Using Different Neighborhood Sizes

The image restoration methods based on the Bayesian's framework and Markov random fields (MRF) have been widely used in the image-processing field. The basic idea of all these methods is to use calculus of variation and mathematical statistics to average or estimate a pixel value by the values...

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Bibliographic Details
Main Authors: Chengcheng Li, William J. B. Oldham
Format: Article
Language:English
Published: International Institute of Informatics and Cybernetics 2003-04-01
Series:Journal of Systemics, Cybernetics and Informatics
Subjects:
competitive learning
Cholesky decomposition
Bayesian's theorem
Toplitz-matrix
clique
Markov random field
Glifford Hammersley theorem
Gibb's distribution
Online Access:http://www.iiisci.org/Journal/CV$/sci/pdfs/P965766.pdf

Internet

http://www.iiisci.org/Journal/CV$/sci/pdfs/P965766.pdf

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