| 一种结合模糊C均值聚类的车道标识线识别方法 |
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| 引用本文： | 闫旭琴,王知学,李建新,成巍.一种结合模糊C均值聚类的车道标识线识别方法[J].山东科学,2010,23(3):28-31. |
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| 作者姓名： | 闫旭琴 王知学 李建新 成巍 |
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| 作者单位： | 山东省科学院自动化研究所，山东省汽车电子重点技术实验室 |
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| 基金项目： | 山东省信息产业发展专项资金项目号，山东省自主创新成果转化重大专项 |
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| 摘 要： | 在道路图像中,为了得到较理想的车道标识线的边缘,设计了一种车道标识线识别方法。利用图像中的边界信息、车道标识线边界的角度和灰度等特征,结合模糊C均值聚类提取车道标识线的边界。利用Hough变换、车道标识线边界的间断性实现车道标识线定位。实验结果表明该方法具有较好的准确性。
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| 关 键 词： | 车道标识线识别 模糊Ｃ均值聚类 Hough变换 |
| 收稿时间： | 2010-03-20 |
A Fuzzy C-Means Clustering Based lane Marking Identification Approach |
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| YAN Xu-qin,WANG Zhi-xue,LI Jian-xin,CHENG Wei.A Fuzzy C-Means Clustering Based lane Marking Identification Approach[J].Shandong Science,2010,23(3):28-31. |
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| Authors: | YAN Xu-qin WANG Zhi-xue LI Jian-xin CHENG Wei |
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| Institution: | Shandong Key Laboratory of Automotive Electronics, Institute of Automation, Shandong Academy of Sciences |
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| Abstract: | This paper devises a lane marking identification approach in order to obtain the expected edge of a lane marking in a road image.The approach employs the edge information of a road image,angle and gray information of the edge of a lane marking and fuzzy c-means clustering to extract the edge of a lane marking.The approach then localizes a lane marking with Hough transform and the intermittent of the edge of a lane marking.Experimental result shows that the approach has better accuracy. |
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| Keywords: | lane marking identification fuzzy c-means clustering Hough transform |
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