Abstract
In today’s traffic conditions with a lot of information, it is very important to get suitable information on the conditions. Among them, the detection of only traffic convex mirrors contributes greatly in terms of providing safety and very useful information for drivers. This paper emphasizes pre-processing and limits the candidate to target edge pixels in advance. First, specific processing content is noise reduction using curvature after the edge extraction. After that, removing straight line and detecting ellipse using Least Square Method or Hough Transform. In addition, specifying elliptical region of traffic convex mirror using the entropy after ellipse detection. The detection performance of Least Square Method is inferior compared with HT, however, the computational cost is small. On the other hand, the detection performance of Hough Transform is robust, while requiring a large computational cost. By comparing both methods, we validate the methods using pre-processing in this paper and confirm the effectiveness and versatility by the experimental results.
