基于RGB彩色通道的结构化道路车道线检测

车道线检测是车辆智能辅助系统的重要组成部分,为提高检测准确性,文中采用一种基于RGB颜色特征的车道线检测方法。根据车道线颜色特征设计转移函数标记图像中的车道线区域,并应用基于形态学的边缘检测算法提取车道线边缘,最终检测出车道线。文中算法原理简单,在车道线边缘识别上,具有较高的准确度,对自动车辆车道线检测有一定的意义。

Lane Detection Based on RGB Channels

Lane detection is an important part of intelligent vehicle vision navigation system.In order to improve the detection accuracy,this paper proposes a detection algorithm based on color feature.Transfer function is designed to mark the lane regions based on the color feature of the lane in the image.Then the edge detection algorithm based on morphology is used to detect the edge of the lane.The algorithm has the advantages of simple principle and high accuracy in the lane edge recognition,and has certain significance to the automatic vehicle lane detection.