ML Anthology

Closed-Loop Adaptive Image Segmentation

Bir Bhanu, John C. Ming, Sungkee Lee
CVPR 1991 pp. 734-735
doi:10.1109/CVPR.1991.139805 /cvpr/1991/bhanu1991cvpr-closed/

Abstract

A closed-loop image segmentation system that incorporates a genetic algorithm to adapt the segmentation process to changes in image characteristics caused by variable environmental conditions is presented. The genetic algorithm efficiently searches the hyperspace of segmentation parameter combinations to determine the parameter set which maximizes the segmentation quality criteria. A summary of the experimental results that demonstrates the ability to perform adaptive image segmentation and to learn from experience using a collection of outdoor color imagery is given.< <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

Bhanu et al. "Closed-Loop Adaptive Image Segmentation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139805

Markdown

[Bhanu et al. "Closed-Loop Adaptive Image Segmentation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/bhanu1991cvpr-closed/) doi:10.1109/CVPR.1991.139805

BibTeX

@inproceedings{bhanu1991cvpr-closed,
  title     = {{Closed-Loop Adaptive Image Segmentation}},
  author    = {Bhanu, Bir and Ming, John C. and Lee, Sungkee},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1991},
  pages     = {734-735},
  doi       = {10.1109/CVPR.1991.139805},
  url       = {https://mlanthology.org/cvpr/1991/bhanu1991cvpr-closed/}
}