Convex Colour Sieves

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationScale Space Methods in Computer Vision
Subtitle of host publication4th International Conference, Scale-Space 2003, Isle of Skye, UK, June 10-12, 2003, Proceedings
EditorsLewis D. Griffin, Martin Lillhom
Number of pages14
ISBN (Electronic)978-3-540-44935-5
ISBN (Print)978-3-540-40368-5
Publication statusPublished - 2003

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