| 车道线的GrowCut快速检测算法 |
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| 引用本文： | 黎明,计春雷,张鸿洲.车道线的GrowCut快速检测算法[J].上海电机学院学报,2011,14(3):187-192. |
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| 作者姓名： | 黎明 计春雷 张鸿洲 |
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| 作者单位： | 1. 上海电机学院电子信息学院,上海,200240
2. 公安部第三研究所,上海,201204 |
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| 基金项目： | 上海市教育委员会科研创新项目资助(11YZ270); 上海市高校选拔培养优秀青年教师科研专项基金项目资助(sdj10001) |
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| 摘 要： | 针对目前智能交通领域中车道线检测算法效率低、鲁棒性差等问题,提出了一种基于GrowCut的车道线快速检测方法。从监控摄像机中采集图像并标定初始种子点,利用GrowCut算法进行边缘分割,对分割结果经过中值平滑滤波、边缘提取、分半处理及曲线拟合,最终得到清晰的车道线。将GrowCut算法与分水岭算法进行了对比,结果表明:该算法简便快捷、鲁棒性好,优于经典算法,可广泛应用于智能交通、公共安全领域。
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| 关 键 词： | 车道线检测 图像分割 智能交通 |
Fast Lane Detection Algorithm Based on GrowCut |
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| LIMing,JI Chunlei,ZHANG Hongzhou.Fast Lane Detection Algorithm Based on GrowCut[J].JOurnal of Shanghai Dianji University,2011,14(3):187-192. |
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| Authors: | LIMing JI Chunlei ZHANG Hongzhou |
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| Affiliation: | LI Ming1,JI Chunlei1,ZHANG Hongzhou2(1.School of Electronics and Information,Shanghai Dianji University,Shanghai 200240,China,2.The Third Research Institute of Ministry of Public Security,Shanghai 201204,China) |
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| Abstract: | A fast GrowCut-based lane detection algorithm is proposed to improve efficiency and robustness of the lane detection algorithms used in intelligent transportation.An image is captured with a surveillance camera and the initial seeds are marked on it.The GrowCut algorithm is then applied to segment the image.After median filtering,edge extraction,splitting and curve fitting,clear lanes can be obtained.The proposed algorithm is compared with the watershed method.The results show that the proposed approach has... |
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| Keywords: | lane detection image segmentation intelligent transportation |
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