• DocumentCode
    1330619
  • Title

    A morphological estimator for clique potentials of binary Markov random fields

  • Author

    Sivakumar, Krishnamoorthy ; Goutsias, John

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
  • Volume
    7
  • Issue
    5
  • fYear
    2000
  • fDate
    5/1/2000 12:00:00 AM
  • Firstpage
    120
  • Lastpage
    122
  • Abstract
    The authors consider the problem of estimating the parameters of a binary Markov random field from a given realization. They propose a consistent estimator of the clique potentials that can be implemented by means of morphological erosions. Experimental results demonstrate the effectiveness of the proposed approach.
  • Keywords
    Markov processes; mathematical morphology; mathematical operators; parameter estimation; signal processing; binary Markov random fields; clique potentials; morphological erosions; morphological estimator; parameter estimation; Image analysis; Image texture analysis; Markov random fields; Maximum likelihood estimation; Monte Carlo methods; Morphological operations; Parameter estimation; Robustness; Stochastic processes; Two dimensional displays;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.841158
  • Filename
    841158
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1330619