摘要
提出了一种新型基于计算机图像自动识别的接触网零部件悬挂状态检测算法。它与之前的人工肉眼图像判断和传统人工巡检相比,具有检测精度高、检测速度快、环境适应力强等优点。
This article proposes an inspection algorithm to check catenary suspension state, which bases on computer automatic image recognition. Compared to artificial visual examination and traditional artificial patrol inspection, it has the advantages of high inspection accuracy, fast inspection speed, strong environment adaptability, and so on.
出处
《电气化铁道》
2014年第2期34-36,共3页
Electric Railway
基金
中国铁道科学研究院行业服务技术创新项目(1251JJ7203)资助
关键词
接触网悬挂状态
图像检测
图像识别
图像处理
catenary suspension state
image inspection
image recognition
image processing
