6533b85dfe1ef96bd12bee9b
RESEARCH PRODUCT
ROBUST ROAD SIGNS SEGMENTATION IN COLOR IMAGES
B. KhanalSharib AliD. Sidibésubject
[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Color segmentationRoad sign detectionLog-chromaticity color space.ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Log-chromaticity color space[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Color constancydescription
International audience; 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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2012-02-24 |