%0 Journal Article
%T Lane detection algorithm based on morphological structure-elements model<br>基于形态学结构元素建模的车道线检测算法
%A LEI Tao
%A FAN Yang-yu
%A WANG Xiao-peng
%A <br>雷涛
%A 樊养余
%A 王小鹏
%A 王履程
%J 计算机应用
%D 2009
%I 
%X 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.
%K traffic lane detection
%K alter sequence filter
%K structure elements
%K Hough transformation
%K robustness<br>车道线检测
%K 交变序列滤波器
%K 结构元素
%K Hough变换
%K 鲁棒性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=9FB98258756CFB25D52EE43BE1F2DB24&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=0B39A22176CE99FB&sid=78976D931AD1540F&eid=5824536C90612D67&journal_id=1001-9081&journal_name=计算机应用&referenced_num=2&reference_num=13