摘要
车道线的识别是车道偏离预警系统的核心部分,文章提出了基于Canny和霍夫变换的车道线识别算法,主要包括中值滤波、图像增强、二值化、Canny算子的边缘检测和霍夫变换的车道线识别。运用该算法,对汽车常用工况下的车道线图像进行识别,实验结果表明该算法能较好的识别车道线。
In this paper, a lane mark recognition algorithm based on Canny and Hough transform is proposed, which includes median filtering, image enhancement, binarization, edge detection of Canny operator and Hough Transformed lane mark recognition.The algorithm is used to identify the lane mark image under certain conditions of the automobile.The experimental results show that the algorithm can identify the lane line better.
出处
《汽车实用技术》
2017年第22期81-83,共3页
Automobile Applied Technology
基金
辽宁省科技厅联合基金项目(201602375)
