Convex Colour Sieves

Gibson, S., Harvey, R. W. and Finlayson, G. D. (2003) Convex Colour Sieves. In: Scale Space Methods in Computer Vision. Lecture Notes in Computer Science, 2695 . Springer Verlag, pp. 550-563. ISBN 978-3-540-40368-5

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

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
?? RGGVS ??
Related URLs:
Depositing User: Vishal Gautam
Date Deposited: 22 Jul 2011 21:11
Last Modified: 25 Jul 2018 00:22
URI: https://ueaeprints.uea.ac.uk/id/eprint/21719
DOI: 10.1007/3-540-44935-3_38

Actions (login required)

View Item