一种基于图像处理的危化车辆识别方法

Dangerous Chemical Vehicle Identification Based on Image Processing

高速路口车道上对危险化学品车辆进行识别,对实时监测危险化学品车辆、保证事故后的及时救援有重大意义。根据危化车辆车顶必须安装危险标志灯的特征,针对监控设备抓拍的车辆头部图片,采用边缘检测、连通边缘提取、相似三角形检测等一系列算法,检测图像中是否存在标志灯,从而实现对危化车辆的识别。最后采用Matlab实现了识别算法,验证了本方法的准确性和可行性。

The identification of hazardous chemicals vehicle on intersection of expressway is vital to the real-time monitoring of hazardous chemicals vehicles and ensure the timely rescue. According to the feature that dangerous vehicle car must install the dangerous marker light, using edge detection, connecting edge detection, similar triangle detection and other methods, the paper detects whether there is a marker light in the vehicle head image captured by monitoring equipment, so as to identify the dangerous vehicles. In this paper, the algorithm is realized by Matlab, which verifies the accuracy and feasibility of this method.