摘要
提出一种基于复合成像检测的电力设备故障检测方法.在故障条件下,采用复合成像技术对电力设备进行图像采集,对采集的电力设备复合成像进行角点匹配和边缘轮廓特征提取,采用三维区域轮廓扫描方法进行电力设备故障部位的信息增强和分段融合检测处理,实现电力设备故障复合成像检测.仿真结果表明,该方法的检测准确度高,成像输出质量好,提高了电力设备故障检测的测准性.
his paper presents a method for the detection of electric power equipment fault detection based on composite imaging.Under fault conditions,the image of power equipment is acquired by using composite imaging technology,the composite image of power equipment corner matching and edge contour feature extraction,three dimensional contour scanning method is used to enhance segmentation and fuse detection processing for power equipment fault information to realize the power equipment fault detection of composite imaging.The simulation results show that the detection method has high accuracy,good quality and improve the imaging output,power equipment fault detection accuracy.
出处
《内蒙古师范大学学报（自然科学汉文版）》
CAS
北大核心
2017年第6期835-837,841,共4页
Journal of Inner Mongolia Normal University(Natural Science Edition)
基金
甘肃省自然科学研究基金计划项目(1308RJZA273)
关键词
复合成像
电力设备
故障检测
图像增强
composite imaging
power equipment
fault detection
image enhancement
