城轨列车受电弓滑板边缘检测算法研究  

Edge detection algorithm for pantograph slide plate of urban rail train

作　　者：温明亮 孙悦 喻智霞 徐文 张永[2] WEN Mingliang;SUN Yue;YU Zhixia;XU Wen;ZHANG Yong(Guangzhou Metro group Co.Ltd.,Guangzhou 510330,China;School of Automation,Nanjing University of Science and Technology,Nanjing 210094,China)

机构地区：[1]广州地铁集团有限公司,广州510330 [2]南京理工大学自动化学院,南京210094

出　　处：《铁路计算机应用》2021年第1期19-23,共5页Railway Computer Application

基　　金：国家重点研发计划课题(2017YFB1201202)。

摘　　要：研究受电弓边缘检测算法,阐述了基于Canny算子的多尺度像素级小波边缘检测算法和基于Zernike矩的亚像素级边缘检测算法。结合广州地铁13号线的实际图片进行对比实验。试验结果表明,相比于传统的像素级边缘检测算法,亚像素级边缘检测算法具有更高的精度,能够满足受电弓滑板边缘检测的需求。This paper studied the edge detection algorithm of pantographslide plate,described the multi-scale wavelet edge detection algorithm at pixel level based on Canny operator and the sub-pixel edge detection algorithm based on Zernike moment.Combined with the actual pictures of Guangzhou Metro Line 13,the comparative experiment was carried out.The experimental results show that,compared with the traditional pixel level edge detection algorithm,subpixel level edge detection algorithm has higher accuracy,and can meet the needs of pantograph slide edge detection.

关 键 词：受电弓 滑板 边缘提取 亚像素 ZERNIKE矩 

分 类 号：U266.34[机械工程—车辆工程] TP39[交通运输工程—载运工具运用工程]