ROBUST ROAD SIGNS SEGMENTATION IN COLOR IMAGES

Bishesh Khanal; Sharib Ali; Désiré Sidibé

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Paper

ROBUST ROAD SIGNS SEGMENTATION IN COLOR IMAGES

Topics: Color and Texture Analyses; Segmentation and Grouping

In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, 307-310, 2012, Rome, Italy

Authors: Bishesh Khanal ; Sharib Ali and Désiré Sidibé

Affiliation: Université de Bourgogne, France

ISBN: 978-989-8565-03-7

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 - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, 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 - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={307-310},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003802103070310},
isbn={978-989-8565-03-7},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - ROBUST ROAD SIGNS SEGMENTATION IN COLOR IMAGES
SN - 978-989-8565-03-7
AU - Khanal B.
AU - Ali S.
AU - Sidibé D.
PY - 2012
SP - 307
EP - 310
DO - 10.5220/0003802103070310