On a parameter estimation method for Gibbs-Markov random fields
Date
1994
Authors
Gürelli, M. I.
Onural, L.
Editor(s)
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Supervisor
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Instructor
Source Title
IEEE Transactions on Pattern Analysis and Machine Intelligence
Print ISSN
0162-8828
Electronic ISSN
Publisher
IEEE
Volume
16
Issue
4
Pages
424 - 430
Language
English
Type
Journal Title
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Volume Title
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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.
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Keywords
Gibbs-Markov random fields , Image 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