| 高速公路收费道口自动车型识别系统中的车轮检测算法 |
| 投稿时间：2013-11-21 修订日期：2014-04-16 点此下载全文 |
| 引用本文：宓为建,薛润,沈阳,宓超.高速公路收费道口自动车型识别系统中的车轮检测算法[J].上海海事大学学报,2014,35(4):79-84. |
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| 基金项目:上海市教育委员会科研创新项目(14ZZ140)；上海市教育委员会上海高校青年教师培养资助计划；上海市科学技术委员会部分地方院校能力建设专项计划(13510501800)；上海海事大学研究生学术新人培育计划（GK2013071） |
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| 中文摘要:为提高高速公路收费道口自动车型识别系统（Vehicle Recognition System，VRS）的识别准确率，针对基于三维成像的VRS中的车轮检测，提出一种优化算法，以精确检测出车轮的位置和大小.利用激光雷达检测到有疑似车轮的目标通过扫描平面时，控制摄像头抓拍图像；对抓拍到的图像进行灰度化、图像增强、边缘提取、背景分离等处理；利用霍夫变换进行车轮边缘拟合，检测图像中是否含有车轮，若有，可同时得到车轮的位置和大小；在MATLAB中实现该算法.结果表明，该车轮检测算法能够快速、精确地检测出车轮，效果良好. |
| 中文关键词:车轮检测 激光雷达 图像处理 霍夫变换 |
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| Wheel detection algorithm in automatic vehicle recognition system for highway toll lanes |
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| Abstract:In order to improve the recognition accuracy rate of automatic Vehicle Recognition System (VRS) for highway toll lanes, in view of the wheel detection in three dimensional imaging based VRS, an optimized wheel detection algorithm is proposed. This algorithm can accurately detect the position and size of a wheel. When an object suspected to be a wheel is detected passing the scanning plane by laser radar, a camera is controlled to capture the image. The image is processed by graying, image enhancing, edge extracting, and background separating. The wheel edge is fitted by Hough transform to detect whether there is a wheel in the image. If so, the position and size of the wheel can be obtained at the same time. The algorithm is implemented in MATLAB. The result shows that the algorithm can detect wheels quickly and accurately and is of good effect. |
| keywords:wheel detection laser radar image processing Hough transform |
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