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Traffic Sign Detection Via Graph-Based Ranking and Segmentation Algorithm
2017
International Journal for Research in Applied Science and Engineering Technology
The majority of the existing traffic sign detection systems to utilize color or shape information, but the methods of 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 for an approach that consists of a saliency measure stage, a graph-based ranking stage, a multithreshold segmentation stage. Because the graph-based ranking algorithm with their specified color and saliency combines
doi:10.22214/ijraset.2017.4164
fatcat:rzzetwfwjffgbageyzc3qlckxa