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Gibson, Stuart, Harvey, Richard W. 
ORCID: https://orcid.org/0000-0001-9925-8316 and Finlayson, Graham D.
(2003)
Convex Colour Sieves.
In:
Scale Space Methods in Computer Vision.
Lecture Notes in Computer Science, 2695
.
Springer, GBR, pp. 550-563.
ISBN 978-3-540-40368-5
Abstract
Sieves and their variants are established processors for simplifying greyscale images. Because combined outputs of these filters satisfy the scale-space causality property they are often referred to as scale-space filters although they have quite different characteristics compared to systems based around diffusion. In this paper we implement several possible extensions of sieves for colour images which include: applying the processor on separate channels; and enforcing an ordering on the colour vectors. We show that a new definition, based on convex hulls in colour space, can lead to an effective algorithm. As with the greyscale method, the colour sieve produces a tree-based representation of image that form the first step to a meaningful hierarchical decomposition.
| 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 Faculty of Science > Research Groups > Colour and Imaging Lab |
| Depositing User: | Vishal Gautam |
| Date Deposited: | 22 Jul 2011 20:11 |
| Last Modified: | 24 Sep 2024 07:47 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/21719 |
| DOI: | 10.1007/3-540-44935-3_38 |
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