| 基于实景图像的道路限速标志检测算法研究 |
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| 引用本文： | 徐丽霞,徐志刚.基于实景图像的道路限速标志检测算法研究[J].宁夏大学学报(自然科学版),2013(2):160-163. |
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| 作者姓名： | 徐丽霞 徐志刚 |
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| 作者单位： | [1]安徽国防科技职业学院机电工程系,安徽六安237011 [2]长安大学信息工程学院,陕西西安710064 |
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| 基金项目： | 安徽省教育厅青年人才基金资助项目（2012SQRL237） |
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| 摘 要： | 在基于道路图像的交通标志识别系统中,关键步骤之一就是对图像中的交通标志能够快速有效地检测.以分析限速标志为例,根据限速标志的特点在图像中寻找到其所在的位置并提取出相关区域,为图像的识别做好前期准备.为了提取出交通标志,采用了颜色预处理、形态学滤波、二值化后的连通域处理和圆的检测等方法.实验表明,该方法能有效地从实景图像中提取出含有交通标志的区域.
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| 关 键 词： | 实景 限速标志检测 连通域分析 区域生成 圆的检测 |
Research on Traffic Speed Limit Signs Location Algorithm Based on Real Image |
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| Xu Lixia,Xu Zhigang.Research on Traffic Speed Limit Signs Location Algorithm Based on Real Image[J].Journal of Ningxia University(Natural Science Edition),2013(2):160-163. |
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| Authors: | Xu Lixia Xu Zhigang |
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| Affiliation: | 1. Department of Mechanical and Electrical Engineering, Anhui Vocational College of Defense Technology, Liuan 237011, China; 2. School of Information Engineering, Chang＇an University, Xi＇an 710064, China) |
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| Abstract: | One of the key steps is that the traffic signs can be located quickly and effectively in the road traffic sign recognition system based on road image. Based on the analysis of the speed limit signs as example, according to the characteristics of speed limit signs in the image, the location of the signs are found and the relevant areas are extrated, as the preparatory to image recognition. In order to extract the traffic signs, color processing, morphology filter, connected component disposal in binary images and circle detection are used. Experiments show that these methods can extract effectively the region containing traffic are used from real image. |
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| Keywords: | real image traffic speed limit sign location connecting component analysis region growth circle detection |
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