Research

Colour morphological scale-spaces for image segmentation


Reference:

Gimenez, D. and Evans, A. N., 2005. Colour morphological scale-spaces for image segmentation. In: British Machine Vision Conference (BMVC), 2005-09-05 - 2005-09-08, Oxford, UIK.

Related documents:

This repository does not currently have the full-text of this item.
You may be able to access a copy if URLs are provided below.

Official URL:

http://cms.brookes.ac.uk/staff/PhilipTorr/BMVC2005/papers/paper-57-62.html

Abstract

Morphological scale-spaces have become an important tool for analysing greyscale images. However, their extension to colour images has proven elusive until recently. In this paper an original evaluation of two recently proposed colour sieves is presented, both algorithmically and in terms of their computational and segmentation performance. A new colour sieve structure is also proposed, motivated by the relative advantages of the two sieves previously studied. A quantitative evaluation of the segmentation performance using a set of images with human ground truth from the Berkeley dataset shows the new method to produce the best segmentation performance.

Details

Item Type Conference or Workshop Items (Paper)
CreatorsGimenez, D.and Evans, A. N.
DepartmentsFaculty of Engineering & Design > Electronic & Electrical Engineering
RefereedYes
StatusPublished
ID Code14916

Export

Actions (login required)

View Item