查询结果:   徐家伟,张重阳.面向无人驾驶的高速公路指路标志字符检测[J].计算机应用与软件,2018,35(2):224 - 229,266.
中文标题
面向无人驾驶的高速公路指路标志字符检测
发表栏目
图像处理与应用
摘要点击数
902
英文标题
CHARACTER DETECTION OF HIGHWAY GUIDE SIGNS FOR UNMANNED DRIVING
作 者
徐家伟 张重阳 Xu Jiawei Zhang Chongyang
作者单位
南京理工大学计算机科学与工程学院 江苏 南京 210094     
英文单位
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094,Jiangsu,China     
关键词
无人驾驶 高速公路指路标志 多级投影 HOG特征 支持向量机
Keywords
Unmanned driving Highway guide signs Multi-level projection HOG feature Support vector machines
基金项目
核高基国家重点专项(2015ZX01041101)
作者资料
徐家伟,硕士生,主研领域:图像处理,模式识别。张重阳,副教授。 。
文章摘要
面向无人驾驶需要实时获得高速公路道路视觉信息的要求,提出一种高速公路指路标志字符检测方法。通过颜色和几何形状特征,得到高速公路指路标志牌,并以标志牌为对象检测字符。检测字符的步骤为:通过二值化方法得到二值图,经过矫正方法将倾斜的标志牌进行倾斜矫正,并对二值图进行过滤;通过多级投影策略对二值图进行切割,得到字符块,再根据版面排列对相关联的字符块进行合并得到字符区域;提取字符区域的HOG特征,通过支持向量机去除伪目标字符区域。实验结果表明在自然场景下高速公路指路标志字符检测的查全率达到97%以上,准确率达到96%以上。
Abstract
For the requirement of unmanned driving to obtain the visual information of expressway road in real time, a method for detecting the character of expressway sign was proposed. By using the color and the geometric features, the method obtained the highway guide sign plate and detected the character with the sign board. The steps of detecting characters were as follows. First, the binary image was obtained by the binarization method. The inclined sign was corrected by the correction method and the binary image was filtered. Secondly, the character block was obtained by using the multi-level projection strategy for the binary image, and the associated character blocks were merged according to the layout to get the character area. Finally, the HOG feature of the character area was extracted, and the pseudo target character area was removed by the support vector machine. The results of experiment indicated that recall rate of character detection exceeded 97%, and precision rate was more than 96%.
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