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Communication Dans Un Congrès Année : 2012

ROBUST ROAD SIGNS SEGMENTATION IN COLOR IMAGES

Résumé

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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Dates et versions

hal-00658086 , version 1 (09-03-2012)

Identifiants

  • HAL Id : hal-00658086 , version 1

Citer

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. ⟨hal-00658086⟩
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