Path-Based Colour Image Segmentation

Fredembach, Clement and Finlayson, Graham D. (2006) Path-Based Colour Image Segmentation. In: 3rd European Conference on Color in Graphics, Imaging and Vision, 2006-06-01.

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Abstract

The 2 pass raster segmenter is simple, fast and is often quoted in the literature. Unfortunately, it tends to oversegment images even in the presence of small amounts of noise. In this paper we present a generalization of this approach where we discover regions by taking multiple random paths through an image. This approach fares better but still over segments an image. Yet, an analysis of region density shows that the underlying image structure can be discovered from the path based segmentation. Indeed, the discovered edges are comparable to those discovered by the widely used mean shift algorithm.

Item Type:	Conference or Workshop Item (Paper)
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Interactive Graphics and Audio Faculty of Science > Research Groups > Colour and Imaging Lab
Depositing User:	Vishal Gautam
Date Deposited:	23 May 2011 07:41
Last Modified:	20 Jun 2023 14:32
URI:	https://ueaeprints.uea.ac.uk/id/eprint/22073
DOI:

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