摘要
为更好地了解铁路接触网的变化趋势和维护需求,为铁路运营部门提供决策支持,文中提出了基于模板匹配图像算法的铁路接触网动态几何参数检测方法。构建图像采集装置采集铁路接触网视频图像数据,应用改进加权均值滤波与自适应NL-means滤波方法,去除铁路接触网图像噪声,将其输入模板匹配图像算法中,将上一帧图像作为模板,与当前图像进行匹配,获取铁路接触网动态几何特征参数,实现接触网动态几何参数检测。实验结果表明,该方法可以有效消除图像中的噪点,保证模板匹配质量和接触网动态几何参数检测效果。
In order to better understand the changing trends and maintenance requirements of railway contact networks,and provide decision-making support for railway operation departments,a dynamic geometric parameter detection method for railway contact networks based on template matching image algorithm is proposed.Construct an image acquisition device to collect video image data of the railway contact network,apply improved weighted mean filtering and adaptive NL means filtering methods to remove noise from the railway contact network image,input it into the template matching image algorithm,use the previous frame image as a template,match it with the current image,obtain dynamic geometric feature parameters of the railway contact network,and achieve dynamic geometric parameter detection of the contact network.The experimental results show that this method can effectively eliminate noise in the image,ensure the quality of template matching and the detection effect of dynamic geometric parameters of the contact network.
作者
吴文平
张磊
樊衍
WU Wen-ping;ZHANG Lei;FAN Yan(Guoneng Shuohuang Railway Development Co.,Ltd.,Yuanping 034100,Shanxi Province,China)
出处
《信息技术》
2025年第2期174-179,186,共7页
Information Technology
关键词
加权均值滤波
模板匹配图像
动态几何参数检测
铁路接触网
接触线高度
weighted mean filtering
template matching images
dynamic geometric parameter detection
railway contact network
contact wire height
