基于图像处理的车灯检测技术研究

摘要

For the requirement of car light detection,a detection method based on image processing is proposed in this paper.This method works under the frame of virtual instrument.Firstly,the image processing technique is used to deal with the car light image,which including image enhancement,binary processing,filter.Second,edge detection method is applied to get corresponding points,through which curve fitting achieved and the benchmark points obtained.%针对汽车大灯的检测需求,提出了一种基于图像处理的车灯检测方法.该方法在虚拟仪器技术框架下,通过图像处理的方法实现车灯检测.首先,对采集到的车灯图像进行图像处理,包括图像增强、二值化处理,滤波处理;然后,将处理过的图像进行边缘检测,对其边缘进行曲线拟合并分割成两部分,通过交点的查找确定特征基准点;最后,以此特征点为基准点,找出所有检测特征点,以检测车灯的合格情况.实验证明,该方法是有效的,能够有效地判断车灯的性能.