| 基于改进Hough变换的车道线检测 |
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| 引用本文： | 李后隆,马骊溟,钟林伟.基于改进Hough变换的车道线检测[J].汽车实用技术,2021(7):16-18. |
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| 作者姓名： | 李后隆 马骊溟 钟林伟 |
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| 作者单位： | 长安大学汽车学院 |
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| 基金项目： | 国家自然基金(或项目)(51878066)资助。 |
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| 摘 要： | 针对车道线检测中存在的诸多问题,在道路图像预处理的基础上,对Canny算子中的双阈值选取进行改进,能够自适应精确提取车道线边缘特征,并利用带极角约束的Hough变换完成直线检测。算法能够在不同道路环境中准确检测车道线标识,降低光照等因素对车道线检测结果的影响。
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| 关 键 词： | 车道线检测 图像预处理 CANNY算子 改进HOUGH变换 |
Lane Detection Based on improved Hough Transform |
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| Authors: | Li Houlong Ma Liming Zhong Linwei |
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| Institution: | (School of Automobile,Chang'an University,Shaanxi Xi'an 710064) |
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| Abstract: | Aiming at many problems existing in lane detection.Fristly based on image preprocessing;Then extract the edge features of lane line by improving the double threshold selection of Canny operator;Finally,complete straight line detection by use the Hough transform with polar angle constraint and get the lane line detection result.The algorithm can accurately detect lane markings in different road environments and reduce the influence of illumination and other factors on lane detection results. |
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| Keywords: | Lane detection Image preprocessing Canny operator Improved hough transform |
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