| 基于最优阈值和Hough变换的车道线检测方法 |
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| 引用本文： | 金浙良,胡桂明,张海君,满高华. 基于最优阈值和Hough变换的车道线检测方法[J]. 自动化技术与应用, 2009, 28(11): 88-91 |
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| 作者姓名： | 金浙良 胡桂明 张海君 满高华 |
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| 作者单位： | 广西大学,电气工程学院,广西,南宁,530004 |
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| 摘 要： | 针对智能车辆视觉导航系统中的车道保持问题，采用图像处理技术检测结构化道路上的车道线。详细介绍了图像的灰度特征，并在此基础上选取感兴趣的道路区域，通过最优阈值对道路区域进行边缘检测，再结合Hough变换技术检测当前车道线。实验表明用结合最优阈值和Hough变换来检测车道线具有很强的鲁棒性和抗干扰性。
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| 关 键 词： | 图像处理 车道线检测 最优阈值 边缘检测 Hough变换 |
Lane Detection Based on the Optimal Threshold and Hough Transform |
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| JIN Zhe-liang,HU Gui-ming,ZHANG Hai-jun,MAN Gao-hua. Lane Detection Based on the Optimal Threshold and Hough Transform[J]. Techniques of Automation and Applications, 2009, 28(11): 88-91 |
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| Authors: | JIN Zhe-liang HU Gui-ming ZHANG Hai-jun MAN Gao-hua |
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| Affiliation: | ( College of Electrical Engineering, Guangxi University, Nanning 530004 China) |
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| Abstract: | To keep an intelligent vehicle on the lane in the vision-based navigation, an image processing technology is proposed to detect the lane of a structured road. The lane edge is detected through Optimal Threshold, and the current lane is detected in combination with the Hough Transform. Experimental results are also given. |
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| Keywords: | image processing lane detection optimal threshold edge detection Hough Transform |
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