Scale space from nonlinear filters

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.

Full text not available from this repository. (Request a copy)

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:
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

Actions (login required)

View Item View Item