ROBUST ROAD SIGNS SEGMENTATION IN COLOR IMAGES

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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Communication dans un congrès
International Conference on Computer Vision Theory and Applications, Feb 2012, Rome, Italy. pp.307-310, 2012
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https://hal-univ-bourgogne.archives-ouvertes.fr/hal-00658086
Contributeur : Désiré Sidibé <>
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Dernière modification le : vendredi 9 mars 2012 - 11:39:17
Document(s) archivé(s) le : jeudi 14 juin 2012 - 16:26:19

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  • HAL Id : hal-00658086, version 1

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Bishesh Khanal, Sharib Ali, Désiré Sidibé. ROBUST ROAD SIGNS SEGMENTATION IN COLOR IMAGES. International Conference on Computer Vision Theory and Applications, Feb 2012, Rome, Italy. pp.307-310, 2012. <hal-00658086>

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