计算机科学 ›› 2017, Vol. 44 ›› Issue (2): 317-323.doi: 10.11896/j.issn.1002-137X.2017.02.055
• 图形图像与模式识别 • 上一篇
李超,刘宏哲,袁家政,郑永荣
LI Chao, LIU Hong-zhe, YUAN Jia-zheng and ZHENG Yong-rong
摘要： 为了更好地满足车道线检测的实时性和鲁棒性要求,提出一种基于帧间关联的车道线检测算法。根据道路图像的特征,将图像灰度化后,采用中值滤波去除图像采集过程中引入的噪声,再根据自适应阈值边缘提取检测算法,在提取过程中对原图像进行区域划分,利用改进的Hough变换得到车道候选线,建立动态的ROI,通过帧间关联方法实现对车道线模型的约束和更新。实验结果表明,基于帧间关联的车道线检测方法不仅降低了图像数据的运算量,缩减了算法的执行时间,而且 提高 了算法的鲁棒性。
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