摘要: 在道路图像中,为了得到较理想的车道的标识边缘,该文采用基于LOG算子边缘增强的方法得到梯度图像,利用SUSAN算子对该梯度图像进行分割,实现了车道标识线边界的提取。在分割后的梯度图像中,利用Hough变换提取出车道标识线参数,完成了对道路图像中的车道标识线的识别,采用建立梯形的感兴趣区域的办法,实现了对车道标识线的实时跟踪。试验结果表明该方法具有较强的鲁棒性和较好的实时性。
关键词:
交通运输系统工程,
LOG算子,
SUSAN算子,
车道标识识别,
车道标识跟踪
Abstract: In order to get an ideal lane marks’ edge in a road image, an enhance edge method based on LOG operator is used to acquire a grads image, then the grads image is divided up by SUSAN operator, the lane mark edges is picked-up. In the divided up image, it is realized to identify lane marks because lane mark line parameters can be acquired by Hough transform, the lane mark real-time track is performed by establishing trapezoid areas. Experimental results show that the proposed method is characterized by reliability, good robustness and real-timeness.
Key words:
Transportation system engineering,
LOG operator,
SUSAN operator,
Lane mark identification,
Lane mark track
中图分类号:
王荣本;余天洪;顾柏园;郭 烈. 基于边界的车道标识线识别和跟踪方法研究[J]. 计算机工程, 2006, 32(18): 195-196,.
WANG Rongben; YU Tianhong; GU Baiyuan; GUO Lie. Research on Linear Lane Mark Identification and Track Method Based on Edge[J]. Computer Engineering, 2006, 32(18): 195-196,.