A method to search for color segmentation threshold in traffic sign detection

摘要：

Color segmentation is the most commonly used method in traffic sign detection. Therefore we propose a method to search for color segmentation threshold in video. Firstly, we classify every images pixels into positive samples and negative samples after color segmentation using some experience thresholds. Secondly, all positive samples are assembled into a new collection as positive-sample-set, and all negative samples are assembled into negative-sampleset. Thirdly, the difference between positivesample-set and negative-sample-set both in RGB and HSV color space are gathered statistics. Then better thresholds for color segmentation could be found. Experiments show the color thresholds are more accurate and appropriate to detect traffic signs. And the method could also be used in other color analysis research.

关键词： color segmentation positive samples negative samples threshold search

作者: Ling Luo Xiying Li

作者单位: Research Center of Intelligent Transportation System School of Engineering, Sun Yat-sen University Guangzhou, China

会议类型: 国际会议

会议名称: The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)

会议地点: 西安

会议语种:英文

页码: 774-777

在线出版日期: 2009-09-20（万方平台首次上网日期，不代表论文的发表时间）