Convex Colour Sieves

Research output: Chapter in Book/Report/Conference proceedingChapter

12 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationScale Space Methods in Computer Vision
EditorsLewis D. Griffin, Martin Lillholm
PublisherSpringer
Pages550-563
Number of pages14
Volume2695
ISBN (Print)978-3-540-40368-5
DOIs
Publication statusPublished - 2003
Event4th International Conference, Scale Space 2003 - Isle of Skye, United Kingdom
Duration: 10 Jun 200312 Jun 2003

Publication series

NameLecture Notes in Computer Science
PublisherSpringer-Verlag

Conference

Conference4th International Conference, Scale Space 2003
CountryUnited Kingdom
CityIsle of Skye
Period10/06/0312/06/03

Cite this