ML Anthology

Fractal Probability Functions-an Application to Image Analysis

Jacques Lévy Véhel
CVPR 1991 pp. 378-383
doi:10.1109/CVPR.1991.139719 /cvpr/1991/vehel1991cvpr-fractal/

Abstract

The extension of the iterated function system (IFS) theory dealing with probability functions instead of numbers is applied to texture analysis. The results allow encoding and reconstruction of textured images, and hence the compression of data to tackle the problem of texture segmentation in a rigorous manner.< <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

Véhel. "Fractal Probability Functions-an Application to Image Analysis." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139719

Markdown

[Véhel. "Fractal Probability Functions-an Application to Image Analysis." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/vehel1991cvpr-fractal/) doi:10.1109/CVPR.1991.139719

BibTeX

@inproceedings{vehel1991cvpr-fractal,
  title     = {{Fractal Probability Functions-an Application to Image Analysis}},
  author    = {Véhel, Jacques Lévy},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1991},
  pages     = {378-383},
  doi       = {10.1109/CVPR.1991.139719},
  url       = {https://mlanthology.org/cvpr/1991/vehel1991cvpr-fractal/}
}