Convex Colour Sieves

Gibson, Stuart, Harvey, Richard ORCID: and Finlayson, Graham (2003) Convex Colour Sieves. In: Scale Space Methods in Computer Vision. Springer, 550–563. ISBN 978-3-540-40368-5

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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: Pure Connector
Date Deposited: 19 Nov 2014 10:46
Last Modified: 10 Jul 2024 23:44
DOI: 10.1007/3-540-44935-3_38

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