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A Comparative Study of Two Useful Discrete-Valued Random Fields for the Statistical Modeling of Images

John Goutsias
CVPR 1988 pp. 310-315
doi:10.1109/CVPR.1988.196254 /cvpr/1988/goutsias1988cvpr-comparative/

Abstract

The author presents two interesting discrete-valued random fields for the statistical modeling and analysis of random images. The first random field, the mutually compatible Gibbs random field, is a special nontrivial case of a general Gibbs random field, whereas the second random field, the semi-Markov random field is a non-Markovian generalization of a mutually compatible Gibbs random field.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Goutsias. "A Comparative Study of Two Useful Discrete-Valued Random Fields for the Statistical Modeling of Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988. doi:10.1109/CVPR.1988.196254

Markdown

[Goutsias. "A Comparative Study of Two Useful Discrete-Valued Random Fields for the Statistical Modeling of Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988.](https://mlanthology.org/cvpr/1988/goutsias1988cvpr-comparative/) doi:10.1109/CVPR.1988.196254

BibTeX

@inproceedings{goutsias1988cvpr-comparative,
  title     = {{A Comparative Study of Two Useful Discrete-Valued Random Fields for the Statistical Modeling of Images}},
  author    = {Goutsias, John},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1988},
  pages     = {310-315},
  doi       = {10.1109/CVPR.1988.196254},
  url       = {https://mlanthology.org/cvpr/1988/goutsias1988cvpr-comparative/}
}