Lane detection algorithm based on morphological structure-elements model
基于形态学结构元素建模的车道线检测算法

This lane detection algorithm based on structure-elements model of morphological simplified the complex processes of lane detection and improved robustness in intelligent vehicle vision assisted. In the algorithm, original image was filtered by alter sequence filter and special objects were extracted by the structure elements, which had similar characteristics to that of lane model. After that, the outside line of left and right lane was removed by a given means of estimation outside line. Finally, the resulted image was amalgamated and the lane mask was detected by means of Hough transformation. The experiments show that this algorithm is simple, of better robustness, and at the same time, it can efficiently detect the lane mask accurately.