Title :
An Approach for Triangle Traffic Sign Detection Based on Improved Radon Transform
Author :
Lv, Jun Rui ; Luo, Xue Gang
Author_Institution :
Sch. of Math. & Comput. Sci., Panzhihua Univ., Panzhihua, China
Abstract :
Aimed at the complexity of the traffic, this paper presents a triangle traffic sign detection method using Radon transform . the process of detection consists of three parts. Firstly, the background in image is filtered by the color characteristics of triangle traffic sign. Then the target image is transformed from two-dimensional space to Radon projection space. Finally, triangle traffic signs in image are extracted according to characteristics of triangle in Radon projection space. Experimental results show that the proposed method has a good effect on accuracy of detection and also can detect traffic sign area for triangle traffic signs of geometric distortion.
Keywords :
Radon transforms; feature extraction; image colour analysis; object detection; traffic engineering computing; Radon projection space; color characteristics; feature extraction; geometric distortion; improved Radon transform; traffic sign area detection; triangle traffic sign detection; two-dimensional space; Educational institutions; Image color analysis; Image segmentation; Interference; Lighting; Shape; Transforms; HSI; radon transform; traffic sign; triangle traffic sign;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-2406-9
DOI :
10.1109/ICCIS.2012.62