ML Anthology

Scale-Space from Nonlinear Filters

J. Andrew Bangham, Paul D. Ling, Richard W. Harvey
ICCV 1995 pp. 163-168
doi:10.1109/ICCV.1995.466791 /iccv/1995/bangham1995iccv-scale/

Abstract

Decomposition by extrema is put into the context of linear vision systems and scale-space. One dimensional discrete M- and N-sieves neither introduce new edges as the scale increases nor create new extrema. They share this property with diffusion based filters. Furthermore M- and N-sieve algorithms are extremely fast with order complexity n. Used to decompose an image, the resulting granularity is appropriate for pattern recognition.

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Cite

Text

Bangham et al. "Scale-Space from Nonlinear Filters." IEEE/CVF International Conference on Computer Vision, 1995. doi:10.1109/ICCV.1995.466791

Markdown

[Bangham et al. "Scale-Space from Nonlinear Filters." IEEE/CVF International Conference on Computer Vision, 1995.](https://mlanthology.org/iccv/1995/bangham1995iccv-scale/) doi:10.1109/ICCV.1995.466791

BibTeX

@inproceedings{bangham1995iccv-scale,
  title     = {{Scale-Space from Nonlinear Filters}},
  author    = {Bangham, J. Andrew and Ling, Paul D. and Harvey, Richard W.},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1995},
  pages     = {163-168},
  doi       = {10.1109/ICCV.1995.466791},
  url       = {https://mlanthology.org/iccv/1995/bangham1995iccv-scale/}
}