Nonlinear scale space from n-dimensional sieves

Bangham, J. Andrew, Harvey, Richard ORCID: https://orcid.org/0000-0001-9925-8316, Ling, Paul D. and Aldridge, Richard V. (1996) Nonlinear scale space from n-dimensional sieves. In: 4th European Conference on Computer Vision (ECCV '96). Lecture Notes in Computer Science, 1064 . Springer, Berlin / Heidelberg, pp. 189-198. ISBN 3-540-61122-3

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

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.

Item Type:	Book Section
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Smart Emerging Technologies (former - to 2025) Faculty of Science > Research Groups > Visual Computing and Signal Processing (former - to 2025)
Depositing User:	EPrints Services
Date Deposited:	01 Oct 2010 13:41
Last Modified:	18 Jun 2026 21:39
URI:	https://ueaeprints.uea.ac.uk/id/eprint/3121
DOI:	10.1007/BFb0015535

Actions (login required)

View Item