Integrating Region Growing and Edge Detection

Pavlidis, Theodosios; Liow, Yuh-Tay

doi:10.1109/CVPR.1988.196238

Integrating Region Growing and Edge Detection

Theodosios Pavlidis, Yuh-Tay Liow

CVPR 1988 pp. 208-214

doi:10.1109/CVPR.1988.196238 /cvpr/1988/pavlidis1988cvpr-integrating/

Abstract

The authors present a method that combines region growing and edge detection for image segmentation. They start with a split-and-merge algorithm where the parameters have been set up so that an oversegmented image results. Then region boundaries are eliminated or modified on the basis of criteria that integrate contrast with boundary smoothness, variation of the image gradient along the boundary, and a criterion that penalizes for the presence of artifacts reflecting the data structure used during segmentation (quadtree, in this case).< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

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Cite

Text

Pavlidis and Liow. "Integrating Region Growing and Edge Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988. doi:10.1109/CVPR.1988.196238

Markdown

[Pavlidis and Liow. "Integrating Region Growing and Edge Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988.](https://mlanthology.org/cvpr/1988/pavlidis1988cvpr-integrating/) doi:10.1109/CVPR.1988.196238

BibTeX

@inproceedings{pavlidis1988cvpr-integrating,
  title     = {{Integrating Region Growing and Edge Detection}},
  author    = {Pavlidis, Theodosios and Liow, Yuh-Tay},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1988},
  pages     = {208-214},
  doi       = {10.1109/CVPR.1988.196238},
  url       = {https://mlanthology.org/cvpr/1988/pavlidis1988cvpr-integrating/}
}