中文说明：针对现有的的车道线识别算法在复杂环境下识别率低、 鲁棒性和实时性较差的问题， 提出了一种基于 形态学多结构元素建模的车道线快速识别算法。该算法首先对车道图像进行感兴趣区域提取， 通过 Canny 算子 对感兴趣区域进行边缘检测; 然后利用具有车道模型特征的多结构元素进行车道线提取、 霍夫变换， 以及峰值检 测点参数的筛选， 从而得到实际车道左右标志线的参数以重建原车道线
English Description：
For existing lane detection algorithm under complex environment of low recognition rate, less robust and real time problem is proposed based onMorphology of multi-structure element modeling lane fast recognition algorithm. The algorithm for Lane image extraction of region of interest, through Canny operatorEdge detection of region of interest; Then multi-lane structure elements with Lane feature line extraction, Hough transform and peak detectionScreening of measured parameters, resulting in actual lanes left and right line parameters in order to reconstruct the original lane