Scale space from nonlinear filters

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Bangham, JA, Ling, PD and Harvey, RW (1995) Scale space from nonlinear filters. In: 5th International Conference on Computer Vision, 1995-06-20 - 1995-06-23.

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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.

Item Type:	Conference or Workshop Item (Other)
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Visual Computing and Signal Processing Faculty of Science > Research Groups > Smart Emerging Technologies (former - to 2025)
Related URLs:	http://ieeexplore.ieee.org/xpl/freeabs_a...
Depositing User:	EPrints Services
Date Deposited:	01 Oct 2010 13:42
Last Modified:	28 Mar 2025 13:27
URI:	https://ueaeprints.uea.ac.uk/id/eprint/3271
DOI:	10.1109/ICCV.1995.466791

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