摘要
常用的电缆故障点检测方法精度低且存在较大的安全隐患。设计一种红外三维检测结合拼接技术测量故障点的方法。通过多尺度Harris算子进行特征点提取,利用归一化互相关法配合随机采样一致性算法提高图像匹配的精度。该方法可有效地显示故障点在电缆防护层中的分布情况。
The most frequently used detection method of fault points in cable is low accuracy,even existence big security hidden danger.The fault point detection which based on infrared 3 D measurement combined with stitching technology was devised.The feature points were extracted by multi-scale Harris operator.Besides,the normalized cross-correlation method combined with random sample consensus algorithm was used to improve the precision of image matching.With this method,the distribution condition of fault point in cable coatings could be showed clearly.
作者
程羽佳
杨晴
王凡
CHENG Yu-jia;YANG Qing;WANG Fan(Mechanical and Electrical Engineering Institute,University of Electronic Science and Technology of China,Zhongshan Institute,Zhongshan 528400)
出处
《现代计算机》
2020年第19期68-71,共4页
Modern Computer
基金
电子科技大学中山学院高等教育教学改革项目(No.JY201904)
广东省高等教育教学改革项目(S-JY201807)。
关键词
电缆故障点
红外
三维检测
拼接
Cable Failure Points
Infrared
3D Detection
Stitching Technology
