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Bangham, JA, Ling, PD and Harvey, RW 
ORCID: https://orcid.org/0000-0001-9925-8316
(1996)
Scale-space from nonlinear filters.
IEEE Trans. Pattern Analysis and Machine Intelligence, 18 (5).
pp. 520-528.
Abstract
Decomposition by extrema is put into the context of linear vision systems and scale-space. It is proved that discrete one-dimensional, M- and N-sieves neither introduce new edges as the scale increases nor create new extrema. They share this property with diffusion based filters. They are robust and preserve edges of large scale features
| Item Type: | Article |
|---|---|
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| Depositing User: | EPrints Services |
| Date Deposited: | 01 Oct 2010 13:42 |
| Last Modified: | 24 Oct 2022 04:06 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/3272 |
| DOI: | 10.1109/34.494641 |
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