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      • Department of Electrical and Electronics Engineering
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      On a parameter estimation method for Gibbs-Markov random fields

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      Author(s)
      Gürelli, M. I.
      Onural, L.
      Date
      1994
      Source 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
      Article
      Item 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 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
      Permalink
      http://hdl.handle.net/11693/26011
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/34.277597
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      • Department of Electrical and Electronics Engineering 4011
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