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Authors: Chieh-Li Chen and Chung-Li Tai

Affiliation: National Chen Kung University, Taiwan

Keyword(s): RGB ratio, Adaptive fuzzy, Colour segmentation, Road detection.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Coding and Compression ; Image Enhancement and Restoration ; Image Formation and Preprocessing

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 feasibility to real time application. Experimental results for road detection demonstrate the robustness to intensity variation of the proposed approach.

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Paper citation in several formats:
Chen, C. and Tai, C. (2009). ADAPTIVE FUZZY COLOUR SEGMENTATION ON RGB RATIO SPACE FOR ROAD DETECTION. In Proceedings of the First International Conference on Computer Imaging Theory and Applications (VISIGRAPP 2009) - IMAGAPP; ISBN 978-989-8111-68-5, SciTePress, pages 31-36. DOI: 10.5220/0001746300310036

@conference{imagapp09,
author={Chieh{-}Li Chen. and Chung{-}Li Tai.},
title={ADAPTIVE FUZZY COLOUR SEGMENTATION ON RGB RATIO SPACE FOR ROAD DETECTION},
booktitle={Proceedings of the First International Conference on Computer Imaging Theory and Applications (VISIGRAPP 2009) - IMAGAPP},
year={2009},
pages={31-36},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001746300310036},
isbn={978-989-8111-68-5},
}

TY - CONF

JO - Proceedings of the First International Conference on Computer Imaging Theory and Applications (VISIGRAPP 2009) - IMAGAPP
TI - ADAPTIVE FUZZY COLOUR SEGMENTATION ON RGB RATIO SPACE FOR ROAD DETECTION
SN - 978-989-8111-68-5
AU - Chen, C.
AU - Tai, C.
PY - 2009
SP - 31
EP - 36
DO - 10.5220/0001746300310036
PB - SciTePress