ROBUST ROAD SIGNS SEGMENTATION IN COLOR IMAGES

Bishesh Khanal, Sharib Ali, Désiré Sidibé

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.

References

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Paper Citation


in Harvard Style

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


in Bibtex Style

@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},
}


in EndNote Style

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