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A Markov Random Field Model-Based Approach to Image Interpretation

James W. Modestino, Jun Zhang
CVPR 1989 pp. 458-465
doi:10.1109/CVPR.1989.37888 /cvpr/1989/modestino1989cvpr-markov/

Abstract

A Markov random field (MRF) model-based approach to automated image interpretation is described and demonstrated as a region-based scheme. In this approach, an image is first segmented into a collection of disjoint regions which form the nodes of an adjacency graph. Image interpretation is then achieved through assigning object labels, or interpretations, to the segmented regions, or nodes, using domain knowledge, extracted feature measurements, and spatial relationships between the various regions. The interpretation labels are modeled as a MRF on the corresponding adjacency graph, and the image interpretation problem are formulated as a maximum a posteriori estimation rule. Simulated annealing is used to find the best realization, or optimal interpretation. Through the MRF model, this approach also provides a systematic method for organizing and representing domain knowledge through the clique functions of the probability density function underlying MRF. Results of image interpretation experiments performed on synthetic and real-world images using this approach are described.< <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

Modestino and Zhang. "A Markov Random Field Model-Based Approach to Image Interpretation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1989. doi:10.1109/CVPR.1989.37888

Markdown

[Modestino and Zhang. "A Markov Random Field Model-Based Approach to Image Interpretation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1989.](https://mlanthology.org/cvpr/1989/modestino1989cvpr-markov/) doi:10.1109/CVPR.1989.37888

BibTeX

@inproceedings{modestino1989cvpr-markov,
  title     = {{A Markov Random Field Model-Based Approach to Image Interpretation}},
  author    = {Modestino, James W. and Zhang, Jun},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1989},
  pages     = {458-465},
  doi       = {10.1109/CVPR.1989.37888},
  url       = {https://mlanthology.org/cvpr/1989/modestino1989cvpr-markov/}
}