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Authors: Bishesh Khanal ; Sharib Ali and Désiré Sidibé

Affiliation: Université de Bourgogne, France

Keyword(s): Road Sign Detection, Color Segmentation, Color Constancy, Log-chromaticity Color Space.

Related Ontology Subjects/Areas/Topics: Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Segmentation and Grouping

Abstract: This paper presents an efficient method for road signs segmentation in color images. Color segmentation of road signs is a difficult task due to variations in the image acquisition conditions. Therefore, a color constancy algorithm is usually applied prior to segmentation, which increases the computation time. The proposed method is based on a log-chromaticity color space which shows good invariance properties to changing illumination. Thus, the method is simple and fast since it does not require color constancy algorithms. Experiments with a large dataset and comparison with other approaches, show the robustness and accuracy of the method in detecting road signs in various conditions.

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Paper citation in several formats:
Khanal, B.; Ali, S. and Sidibé, D. (2012). ROBUST ROAD SIGNS SEGMENTATION IN COLOR IMAGES. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP; ISBN 978-989-8565-03-7; ISSN 2184-4321, SciTePress, pages 307-310. DOI: 10.5220/0003802103070310

@conference{visapp12,
author={Bishesh Khanal. and Sharib Ali. and Désiré Sidibé.},
title={ROBUST ROAD SIGNS SEGMENTATION IN COLOR IMAGES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP},
year={2012},
pages={307-310},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003802103070310},
isbn={978-989-8565-03-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP
TI - ROBUST ROAD SIGNS SEGMENTATION IN COLOR IMAGES
SN - 978-989-8565-03-7
IS - 2184-4321
AU - Khanal, B.
AU - Ali, S.
AU - Sidibé, D.
PY - 2012
SP - 307
EP - 310
DO - 10.5220/0003802103070310
PB - SciTePress