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中文摘要：
针对常见的交通信号灯,提出了基于投影特征值的交通信号灯识别方法。该方法首先分割图像中红绿色区域,经过多次过滤,筛选出交通信号灯区域,然后针对交通信号灯扩散问题,采用自适应阈值分割对候选区域进行分割,最后提取交通信号灯在水平和垂直方向的投影特征值,运用最小距离分类器,得到交通信号灯的方向信息。实验结果表明,在不同的自然场景中检测率达到95%以上,识别率达到96%以上。
英文摘要：
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.
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