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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