On a parameter estimation method for Gibbs-Markov random fields
Date
1994Source Title
IEEE Transactions on Pattern Analysis and Machine Intelligence
Print ISSN
0162-8828
Publisher
IEEE
Volume
16
Issue
4
Pages
424 - 430
Language
English
Type
ArticleItem Usage Stats
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Abstract
This correspondence is about a Gibbs-Markov random field (GMRF) parameter estimation technique proposed by Derin and Elliott. We will refer to this technique as the histogramming (H) method. First, the relation of the H method to the (conditional) maximum likelihood (ML) method is considered. Second, a bias-reduction based modification of the H method is proposed to improve its performance, especially in the case of small amounts of image data.
Keywords
Gibbs-Markov random fieldsImage modeling
parameter estimation
pattern recognition
Texture
Image analysis
Image processing
Parameter estimation
Statistical methods
Bias reduction based modification
Gibbs Markov random fields
Histogramming
Image modelling
Maximum likelihood method
Pattern recognition