Image segmentation using causal Markov random field models

  • Pierre A. Devijver
Statistical Pattern Recognition
Part of the Lecture Notes in Computer Science book series (LNCS, volume 301)


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  1. [1]
    J. Besag, “On the statistical analysis of dirty pictures,” paper read at the SERC Research Workshop on Statistics and Pattern Recognition, Edinburgh, July 1985.Google Scholar
  2. [2]
    P.A. Devijver, “Probabilistic labeling in a hidden second order Markov mesh,” in Pattern Recognition in Practice II, E. Gelsema, and L.N. Kanal Eds., Amsterdam: North Holland, 1985, pp. 113–123.Google Scholar
  3. [3]
    P.A. Devijver, “Segmentation of binary images using third order Markov mesh image models,” in Proc. 8th-Internat. Conf. on Pattern Recognition, Paris, Oct. 1986, pp. 259–261.Google Scholar
  4. [4]
    P.A. Devijver, and M.M. Dekesel, “Learning the parameters of a hidden Markov random field image model: A simple example,” in Pattern Recognition Theory and Applications, P. Devijver and J. Kittler Eds., Heidelberg: Springer, 1987, pp. 141–163.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • Pierre A. Devijver
    • 1
  1. 1.Philips Research LaboratoryBrusselsBelgium

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