%0 Journal Article
%T Novel algorithm of fast lane identification<br>一种新的车道线快速识别算法
%A SHEN Yu
%A LUO Wei-wei
%A WANG Xiao-peng
%A LEI Tao
%A <br>沈瑜
%A 罗维薇
%A 王小鹏
%A 雷涛
%J 计算机应用研究
%D 2011
%I 
%X The existing lane recognition algorithms have low recognition ratio, bad robustness and real-time, for overcoming these drawbacks, this paper proposed a fast algorithm of lane recognition based on multi-structure elements model of morphological. In the algorithm, the interested area is extracted from original image, which is detected by the operator of Canny. After that, the lanes are extracted by the structure elements, which have similar characteristics to that of lane model. Several lines are detected by Hough transformation, and choose the parameters to reconstruct the traffic lane. Experiments show that this algorithm is simple, has better robustness, and at the same time, can efficiently detect the lane mask accurately and quickly.
%K interested area
%K traffic lane detection
%K Hough (transformation)
%K robustness<br>感兴趣区域
%K 车道线检测
%K 霍夫变换
%K 鲁棒性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=B59A1F50EB1777F7B7E05143B55EDB72&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=E158A972A605785F&sid=E2EDBBF9B5CDD657&eid=BA5D64D6F29EA80F&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=13