中文摘要：

近年来,随着我国汽车保有量的不断增加,汽车的车身尺寸检测成为了汽车运行安全检测的重要内容。传统的人工测量方式精度差、效率低。结合汽车表面的图像信息,通过图像边缘检测、区域标记滤波、图像的配准与融合和边缘定位,提出了一种车辆长度尺寸的视觉测量算法。经过车辆长度的测量实验,结果表明该算法测量的相对误差达到1%,耗时低于3s,实现了车辆长度尺寸测量的准确性和快速性,为车辆综合性能检测和智能交通系统提供了一种有效的补充。

英文摘要：

In recent years, as China＇s car ownership increasing, vehicle body size measurement has become an important part of the car running safety testing. Traditional manual measurement operates with low accuracy and efficiency. Taking advantage of the image information on cars＇ surface and combining with the image edge detection, connected component labeling, image registration and fusion and edge localization, a visual measurement algorithm of vehicle length is presented now. Experiment results of the vehicle length measurement show that the proposed algorithm can achieve a relative accuracy of 1%, and its time consumption is less than 3 second. Cars＇ body size measurement can be achieved with a high accuracy and little time consumption, which offers as an effective supplement for comprehensive performance testing of vehicles and intelligent transport system.