【作者】 王超； 刘翠响；

【Author】 Wang Chao Liu Cuixiang (Hebei University of Technology School of Information Engineering )

【机构】 河北工业大学信息工程学院；

【摘要】 中国正处在一个快速发展的时期,各种车型车辆数量持续上升,为了促进智能交通系统的发展,车型识别就显得很具实用性。本文的研究重点就是视频图像中车辆的车型识别。文中以主成分分析(PCA)法为基础,设计了基于灰度阈值分割法的车型识别系统和基于图像背景差值法的车型识别系统。同时使用MATLAB软件对系统进行编程实现,并对实验结果进行对比分析,得出基于图像背景差值法的车型识别系统的处理效果比较稳定。更多还原

【Abstract】 China is in a period of rapid development. The number of various vehicles continues to rise. The vehicle recognition is very practical in order to promote the development of intelligent transportation system. The main research work is the vehicle recognition of the video images in this paper. In this paper based on the principal component analysis (PCA) method, the system of vehicle recognition based on gray-level threshold segmentation method and image background difference method is designed. The system is simulated by the use of MATLAB software. A lot of experiments were done and the experimental results were compared and analyzed in the paper. The experiment results show that the design based on image background difference method is more efficient and accurate.更多还原