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Estimating the usefulness of preprocessing in colour image segmentation

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In the paper we address the problem of usefulness of colour image filtering before segmentation. Our interests are limited to non-linear colour filters working in the spatial domain. Most often comparing such filters is based on calculation of different quality factors (e.g. SNR, NCD etc.). The main idea of this paper is to use an evaluation function, coming from segmentation, to estimate the usefulness of preprocesing. The experiments were realized using both original and noisy images corrupted by Gaussian and impulsive noise.

Original languageEnglish
Title of host publicationCGIV 2004 - Second European Conference on Color in Graphics, Imaging, and Vision and Sixth International Symposium on Multispectral Color Science
Pages197-200
Number of pages4
Publication statusPublished - 2004
EventCGIV 2004 - Second European Conference on Color in Graphics, Imaging, and Vision and Sixth International Symposium on Multispectral Color Science - Aachen, Germany
Duration: 5 Apr 20048 Apr 2004

Publication series

NameCGIV 2004 - Second European Conference on Color in Graphics, Imaging, and Vision and Sixth International Symposium on Multispectral Color Science

Conference

ConferenceCGIV 2004 - Second European Conference on Color in Graphics, Imaging, and Vision and Sixth International Symposium on Multispectral Color Science
Country/TerritoryGermany
CityAachen
Period5/04/048/04/04

ASJC Scopus subject areas

  • General Engineering

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