现代电子技术2017，Vol.40Issue(4)：16-18,23,4.DOI:10.16652/j.issn.1004-373x.2017.04.005
基于图像处理的车辆类型识别的研究
Research on vehicle type recognition based on image processing
摘要
Abstract
In order to optimize the algorithm of vehicle type detection,the graphic base of vehicles was established with the method of Fourier descriptor. The vehicle side images acquired by camera are treated by means of morphological operation to get the closed curves of vehicle contour and match them with the templates in the graphic base to determine the vehicle type. The vehicle top images are processed with the integral method to calculate the corresponding characteristic parameters to ensure the size information of a vehicle,so as to eliminate the phenomenon of the wrong detection. The image processing algorithm is derived and its implementation flow process is given in this paper. The simulation experiment result shows that the algorithm is able to adequately extract the information of vehicle shape and size,the recognition accuracy is high,and the calculated amount small.关键词
智能交通/车型检测/傅里叶描述子/AOI区域划分Key words
intelligent traffic/vehicle type detection/Fourier descriptor/AOI region partition分类
信息技术与安全科学引用本文复制引用
朱金荣,张广杰,夏长权..基于图像处理的车辆类型识别的研究[J].现代电子技术,2017,40(4):16-18,23,4.基金项目
国家自然科学基金（11304271）；江苏省基础研究计划自然科学基金项目 （）
