Adaptive fuzzy colour segmentation on rgb ratio space for road detection

Chieh Li Chen; Chung Li Tai

Adaptive fuzzy colour segmentation on rgb ratio space for road detection

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	IMAGAPP 2009 - Proceedings of the 1st International Conference on Computer Imaging Theory and Applications
Pages	31-36
Number of pages	6
Publication status	Published - 2009 Jul 21
Event	1st International Conference on Computer Imaging Theory and Applications, IMAGAPP 2009 - Lisboa, Portugal Duration: 2009 Feb 5 → 2009 Feb 8

Publication series

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

Other

Other	1st International Conference on Computer Imaging Theory and Applications, IMAGAPP 2009
Country	Portugal
City	Lisboa
Period	09-02-05 → 09-02-08

All Science Journal Classification (ASJC) codes

Computer Science Applications
Computer Vision and Pattern Recognition

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Cite this

@inproceedings{691f97d68a3245149260d6440363400f,

title = "Adaptive fuzzy colour segmentation on rgb ratio space for road detection",

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.",

author = "Chen, {Chieh Li} and Tai, {Chung Li}",

year = "2009",

month = jul,

day = "21",

language = "English",

isbn = "9789898111685",

series = "IMAGAPP 2009 - Proceedings of the 1st International Conference on Computer Imaging Theory and Applications",

pages = "31--36",

booktitle = "IMAGAPP 2009 - Proceedings of the 1st International Conference on Computer Imaging Theory and Applications",

note = "1st International Conference on Computer Imaging Theory and Applications, IMAGAPP 2009 ; Conference date: 05-02-2009 Through 08-02-2009",

}

Chen, CL & Tai, CL 2009, Adaptive fuzzy colour segmentation on rgb ratio space for road detection. in IMAGAPP 2009 - Proceedings of the 1st International Conference on Computer Imaging Theory and Applications. IMAGAPP 2009 - Proceedings of the 1st International Conference on Computer Imaging Theory and Applications, pp. 31-36, 1st International Conference on Computer Imaging Theory and Applications, IMAGAPP 2009, Lisboa, Portugal, 09-02-05.

Adaptive fuzzy colour segmentation on rgb ratio space for road detection. / Chen, Chieh Li; Tai, Chung Li.

IMAGAPP 2009 - Proceedings of the 1st International Conference on Computer Imaging Theory and Applications. 2009. p. 31-36 (IMAGAPP 2009 - Proceedings of the 1st International Conference on Computer Imaging Theory and Applications).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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