摘要
基于Halcon开发平台对轨道车辆故障检测,阐述用于异物检测的对比算法。利用数字图像处理方法,在对标准图和待测图进行特征点提取匹配及图像配准后,得到标准图的变换图像。
Based on Halcon development platform for rail vehicle fault detection, this paper describes the comparative algorithm for foreign body detection. By using digital image processing method, the transformed image of standard map is obtained after feature points extraction and image registration of standard map and the map to be measured.
作者
薛浩飞
吴晶
周丽萍
谭宇文
XUE haofei;WU jing;ZHOU Liping;TAN Yuwen(CRRC Sifang Technology Co.,Ltd,Chongqing 401133,China;Chongqing Rail Transit(Group)Co.,Ltd,Chongqing 401120,China;CRRC Qingdao Sifang Vehicle Research Institute Co.,Ltd,Qingdao 266000,China.)
出处
《集成电路应用》
2020年第11期46-47,共2页
Application of IC
基金
重庆市技术创新与应用示范专项重点示范项目(cstc2018jszx-cyzdX0052)。
关键词
计算机工程
信息技术
轨道车辆
故障检测
图像剪裁
图像差分
computer engineering
information technology
rail vehicles
fault detection
image clipping
image difference
