| 基于机器视觉道路识别算法的研究 |
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| 引用本文： | 黄涛,丁俊进. 基于机器视觉道路识别算法的研究[J]. 国外电子元器件, 2007, 0(4): 34-38 |
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| 作者姓名： | 黄涛 丁俊进 |
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| 作者单位： | 武汉理工大学,信息工程学院,湖北,武汉,430070 |
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| 基金项目： | 湖北省武汉市科技攻关项目 |
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| 摘 要： | 在道路图像中,为了得到较理想的车道标识边缘,采用基于Sobel算子边缘图像增强的方法增强道路车道线的边缘,从而明显提高车道线提取的准确性.针对道路边界的形状特征提出的二次曲线道路边界模型,实现了对车道标识线的实时跟踪.
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| 关 键 词： | 机器视觉 边界跟踪 道路识别 边缘增强 |
| 文章编号： | 1006-6977（2007）04-0034-04 |
| 收稿时间： | 2007-01-25 |
| 修稿时间： | 2007-01-25 |
Research of the road recognition algorithm based on the machine vision |
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| HUANG Tao,DING Jun-jing. Research of the road recognition algorithm based on the machine vision[J]. International Electronic Elements, 2007, 0(4): 34-38 |
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| Authors: | HUANG Tao DING Jun-jing |
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| Abstract: | In the road picture, in order to get the edge of identification of more ideal lane, a method based on Sobel operator edge picture strengthens is introduced,thus the accuracy that the lane thread is drawn will be increased significantly.Conic section road border model put forward to the form characteristic of the border of road, the ones that have realized to identification line of lane which are followed in real time. |
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| Keywords: | machine vision edge following road detection edge strengthen |
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