ML Anthology

Context Dependent Edge Detection

Robert M. Haralick, James S. J. Lee
CVPR 1988 pp. 223-228
doi:10.1109/CVPR.1988.196240 /cvpr/1988/haralick1988cvpr-context/

Abstract

To simulate the edge perception ability of human eyes and detect scene edges from an image, context information must be used in the edge detection process. To accomplish the optimal use of the context, the authors introduce an edge detection scheme which uses the context of the whole image. The edge context for each pixel is the set of all row monotonically increasing paths through the pixel. The edge detector assigns a pixel that edge state having highest edge probability among all the paths. Experiments indicate the validity of the edge detector. Upon comparing the performance of the context dependent edge detector with the context free second directional derivative zero-crossing edge operator, the authors find that the context dependent edge detector is superior.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

CVPR Semantic Scholar

Cite

Text

Haralick and Lee. "Context Dependent Edge Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988. doi:10.1109/CVPR.1988.196240

Markdown

[Haralick and Lee. "Context Dependent Edge Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988.](https://mlanthology.org/cvpr/1988/haralick1988cvpr-context/) doi:10.1109/CVPR.1988.196240

BibTeX

@inproceedings{haralick1988cvpr-context,
  title     = {{Context Dependent Edge Detection}},
  author    = {Haralick, Robert M. and Lee, James S. J.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1988},
  pages     = {223-228},
  doi       = {10.1109/CVPR.1988.196240},
  url       = {https://mlanthology.org/cvpr/1988/haralick1988cvpr-context/}
}