ML Anthology

Biased Anisotropic Diffusion - A Unified Regularization and Diffusion Approach to Edge Detection

Niklas Nordström
ECCV 1990 pp. 18-27
doi:10.1007/BFB0014846 /eccv/1990/nordstrom1990eccv-biased/

Abstract

We present a global edge detection algorithm based on variational regularization. The algorithm can also be viewed as an anisotropic diffusion method. We thereby unify these two from the original outlook quite different methods. The algorithm to be presented moreover has the following attractive properties: 1) It only requires the solution of a single boundary value problem over the entire image domain—almost always a very simple (rectangular) region. 2) It converges to a solution of interest.

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Cite

Text

Nordström. "Biased Anisotropic Diffusion - A Unified Regularization and Diffusion Approach to Edge Detection." European Conference on Computer Vision, 1990. doi:10.1007/BFB0014846

Markdown

[Nordström. "Biased Anisotropic Diffusion - A Unified Regularization and Diffusion Approach to Edge Detection." European Conference on Computer Vision, 1990.](https://mlanthology.org/eccv/1990/nordstrom1990eccv-biased/) doi:10.1007/BFB0014846

BibTeX

@inproceedings{nordstrom1990eccv-biased,
  title     = {{Biased Anisotropic Diffusion - A Unified Regularization and Diffusion Approach to Edge Detection}},
  author    = {Nordström, Niklas},
  booktitle = {European Conference on Computer Vision},
  year      = {1990},
  pages     = {18-27},
  doi       = {10.1007/BFB0014846},
  url       = {https://mlanthology.org/eccv/1990/nordstrom1990eccv-biased/}
}