1、 I 摘要摘要 随着交通拥挤和堵塞等各种问题的日益突出，以及计算机技术的不断发展， 智能交通系统(Intelligent Traffic System，ITS)得到了越来越广泛的应用，其中车 型分类技术是重要的一个分支。 本论文对基于图像识别的车型识别系统进行了研 究，通过对已有的车型识别技术经验的研究和分析，实现了一个基于图像的车型 识别系统。 本文首先将拍摄到的车辆图像进行预处理，把车辆图像分割出来；然后提取 出完整的车辆外轮廓曲线，最后对轮廓曲线进行分析，通过提取出的汽车的特征 信息与设定好的汽车的特征信息进行比较，利用最近邻法进行识别，得出识别结 果。实验结果表明，该系统具有较好的识别
2、率和鲁棒性。 关键词：智能交通；车型识别；车型分类；图像处理 基于 opencv 的车型识别系统设计 II Abstract With the traffic congestion and blockage issues become increasingly prominent, and continuous development of computer technology, intelligent transport system (Intelligent Transportation system, ITS) has been more widely applied. The veh
3、icle classification is an important branch of ITS. In this paper, a vehicle recognition system based on image is studied. Though analysis and research the technical experience of the previous research, we developed a vehicle recognition system based on image. In our system, the vehicle image is prep
4、rocessed in first, and the vehicle is segmentation from the image which been preprocessed. Secondly, the contour of vehicle is extracted and analyzed. Finally, the feature of vehicle model is extracted, and the nearest neighbor classier method applied to classify. The effort of experiment show that the system have good classify effort and robustious characteristic. Keywords: Intelligent traffic system；Vehicle classification；Vehicle Category； Image processing III 目录目录 1 绪论. 1 1.1 课题研究背景和意义 1 1.2
