| 车道检测中感兴趣区域选择及自适应阈值分割 |
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| 引用本文： | 管欣,贾鑫,高振海.车道检测中感兴趣区域选择及自适应阈值分割[J].公路交通科技,2009,26(6). |
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| 作者姓名： | 管欣 贾鑫 高振海 |
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| 作者单位： | 吉林大学,汽车动态模拟国家重点实验室,吉林,长春,130025 |
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| 摘 要： | 针对间断线型或因污迹掩盖、磨损导致的车道标线不连续等情况，在基于前帧图像检测结果设置感兴趣区域的车道标线跟踪算法基础上，通过区域对比度分析并结合自适应大津算法，建立了车道标线有效检测区域的筛选及其自适应阈值图像分割算法。多种典型车道线型下的图像检测试验表明，算法在保持良好实时性的同时，也体现出对不连续车道线型处或破损等因素的鲁棒性和自适应性。
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| 关 键 词： | 交通工程 车道标线跟踪 ROI 对比度 大津法 图像处理 计算机视觉 |
Region of Interest Selecting and Adaptive Threshold Segmentation in Lane Marking Detection |
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| GUAN Xin,JIA Xin,GAO Zhenhai.Region of Interest Selecting and Adaptive Threshold Segmentation in Lane Marking Detection[J].Journal of Highway and Transportation Research and Development,2009,26(6). |
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| Authors: | GUAN Xin JIA Xin GAO Zhenhai |
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| Institution: | State Key Laboratory of Automobile Dynamic Simulation;Jilin University;Changchun Jilin 130025;China |
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| Abstract: | To solve the problem that sometimes the lane marking is discontinuous because of the broken-line type or smutch or abrasion,a new algorithm based on the method that the series of region of interest(ROI) disposed with the detection results from last frame was raised.The effective detected region was selected with the combination of the regional contrast analysis and OTSU method,and then the image was segmented with adaptive threshold.The experimental result of all kinds of typical lane image detection shows ... |
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| Keywords: | ROI |
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