Segmentation and Grouping of Object Boundaries Using Energy Minimization
Abstract
An algorithm is described which performs curvilinear grouping of image edge elements for detecting object boundaries. The method works by generating hypotheses and selecting the best one. A neighborhood definition based on Delaunay graph is used to keep the number of generated hypotheses small. An energy minimizing curve is fit to the generated hypotheses to evaluate the grouping and locate discontinuities.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
Trytten and Tüceryan. "Segmentation and Grouping of Object Boundaries Using Energy Minimization." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139803Markdown
[Trytten and Tüceryan. "Segmentation and Grouping of Object Boundaries Using Energy Minimization." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/trytten1991cvpr-segmentation/) doi:10.1109/CVPR.1991.139803BibTeX
@inproceedings{trytten1991cvpr-segmentation,
title = {{Segmentation and Grouping of Object Boundaries Using Energy Minimization}},
author = {Trytten, Deborah Anne and Tüceryan, Mihran},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1991},
pages = {730-731},
doi = {10.1109/CVPR.1991.139803},
url = {https://mlanthology.org/cvpr/1991/trytten1991cvpr-segmentation/}
}