Convex Colour Sieves

Gibson, Stuart, Harvey, Richard 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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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 (former - to 2025) Faculty of Science > Research Groups > Visual Computing and Signal Processing Faculty of Science > Research Groups > Colour and Imaging Lab
Depositing User:	Pure Connector
Date Deposited:	19 Nov 2014 10:46
Last Modified:	15 Oct 2025 08:33
URI:	https://ueaeprints.uea.ac.uk/id/eprint/51091
DOI:	10.1007/3-540-44935-3_38

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