现代电子技术2016，Vol.39Issue(9)：160-163,4.DOI:10.16652/j.issn.1004-373x.2016.09.038
基于投影特征值的交通信号灯检测与识别方法
Traffic lights detection and recognition method based on projection eigenvalue
摘要
Abstract
The traffic lights recognizing method based on projection eigenvalue is proposed for the common traffic lights. This method is used to segment the red and green areas,and screen out the areas of traffic lights after multiple filtering. For the diffusion problem of the traffic lights,the adaptive threshold segmentation is adopted to segment the candidate areas. After that, the projection eigenvalue of the traffic lights in horizontal and vertical directions is extracted,and the minimum distance classifier is used to obtain the directional information of the traffic lights. The experimental results show that the detection rate can reach up to 95% and the recognition rate can reach up to 96% in different natural scenes.关键词
多次过滤/自适应阈值分割/投影特征值/最小距离分类器Key words
multiple filtering/adaptive threshold segmentation/projection eigenvalue/minimum distance classifier分类
信息技术与安全科学引用本文复制引用
吴泽峰,张重阳,许明文..基于投影特征值的交通信号灯检测与识别方法[J].现代电子技术,2016,39(9):160-163,4.基金项目
国家自然科学资金项目 （）
