Adaptive fuzzy colour segmentation on rgb ratio space for road detection

Chieh Li Chen, Chung Li Tai

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

Abstract

In this paper, the RGB ratio is defined according to a reference colour such that the image can be transformed from a conventional colour space to the RGB ratio space. Different to distance measurement, a road colour segment is determined by an area in RGB ratio space enclosed by the estimated boundaries. Adaptive fuzzy logic, which fuzzy membership functions are defined according to estimated boundaries, is introduced to implement clustering rules. Low computation cost of the proposed segmentation method shows the feasibilitv to real time application. Experimental results for road detection demonstrate the robustness to intensitv variation of the proposed approach.

Original languageEnglish
Title of host publicationIMAGAPP 2009 - Proceedings of the 1st International Conference on Computer Imaging Theory and Applications
Pages31-36
Number of pages6
Publication statusPublished - 2009 Jul 21
Event1st International Conference on Computer Imaging Theory and Applications, IMAGAPP 2009 - Lisboa, Portugal
Duration: 2009 Feb 52009 Feb 8

Publication series

NameIMAGAPP 2009 - Proceedings of the 1st International Conference on Computer Imaging Theory and Applications

Other

Other1st International Conference on Computer Imaging Theory and Applications, IMAGAPP 2009
CountryPortugal
CityLisboa
Period09-02-0509-02-08

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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