Nonlinear scale space from n-dimensional sieves

Bangham, J. Andrew, Harvey, Richard ORCID:, 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)


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
Faculty of Science > Research Groups > Interactive Graphics and Audio
Depositing User: EPrints Services
Date Deposited: 01 Oct 2010 13:41
Last Modified: 16 Jul 2024 23:46
DOI: 10.1007/BFb0015535

Actions (login required)

View Item View Item