Circular Traffic Signs Detection in Natural Environments

Abstract

This paper describes an efficient method for the detection of circular traffic signs on color images in different natural environments. First, a RGB image was converted into HSV color space which was segmented by the hue and saturation thresholds, so that we can extract the region of interests (ROIs). Due to which, A Circular Hough Transform (CHT) based algorithm is proposed to find circles in the image, after that the traffic signs are detected from the images under natural scenes. Experiments were conducted for the detection of traffic signs which involved two traffic sign image databases. The experimental results indicate that the proposed algorithm possess of high detection accuracy, and good robust performance.