Nonlinear Scale-Space from N-Dimensional Sieves

Bangham, J. Andrew; Harvey, Richard W.; Ling, Paul D.; Aldridge, Richard V.

doi:10.1007/BFB0015535

Nonlinear Scale-Space from N-Dimensional Sieves

J. Andrew Bangham, Richard W. Harvey, Paul D. Ling, Richard V. Aldridge

ECCV 1996 pp. 189-198

doi:10.1007/BFB0015535 /eccv/1996/bangham1996eccv-nonlinear/

Abstract

The one-dimensional image analysis method know as the sieve [1] is extended to any finite dimensional image. It preserves all the usual scale-space properties but has some additional features that, we believe, make it more attractive than the diffusion-based methods. We present some simple examples of how it might be used.

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Text

Bangham et al. "Nonlinear Scale-Space from N-Dimensional Sieves." European Conference on Computer Vision, 1996. doi:10.1007/BFB0015535

Markdown

[Bangham et al. "Nonlinear Scale-Space from N-Dimensional Sieves." European Conference on Computer Vision, 1996.](https://mlanthology.org/eccv/1996/bangham1996eccv-nonlinear/) doi:10.1007/BFB0015535

BibTeX

@inproceedings{bangham1996eccv-nonlinear,
  title     = {{Nonlinear Scale-Space from N-Dimensional Sieves}},
  author    = {Bangham, J. Andrew and Harvey, Richard W. and Ling, Paul D. and Aldridge, Richard V.},
  booktitle = {European Conference on Computer Vision},
  year      = {1996},
  pages     = {189-198},
  doi       = {10.1007/BFB0015535},
  url       = {https://mlanthology.org/eccv/1996/bangham1996eccv-nonlinear/}
}