TRAFFIC SIGN DETECTION
The majority of existing traffic sign detection systems utilize color or shape information, but the methods remain limited in regard to detecting and segmenting traffic signs from a complex background. In this paper, we propose a novel graph-based traffic sign detection approach that consists of a saliency measure stage, a graph-based ranking stage, and a multithreshold segmentation stage. Because the graph-based ranking algorithm with specified color and saliency combines the information of color, saliency, spatial, and contextual relationship of nodes, it is more discriminative and robust than the other systems in terms of handling various illumination conditions, shape rotations, and scale changes from traffic sign images.
Fig: Flow of proposed traffic sign detection system. (a) Input image. (b) Graph design. (c) Ranking results with specified colors. (d) Segmentation results.
(e) Final results of traffic sign detection system.
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