基于机器视觉算法的绝缘子缺陷检测与定位

Insulator Defect Detection and Location Based on Machine Vision Algorithm

高压输电线路中往往会出现绝缘子自爆的问题。为降低专业人士巡检的工作强度,提高工作效率,以“宜昌-上海”远程智能巡检系统为工程实例,使用Matlab软件和基于数字图像处理的机器视觉算法,最终达到了精确定位绝缘子缺陷部位的效果。

Insulators often explode in high-voltage transmission lines.In order to reduce the work intensity of professional inspections and improve work efficiency,the“Yichang-Shanghai”remote intelligent inspection system is used as an engineering example.Matlab software is used and digital-based the image processing machine vision algorithm finally achieved the effect of accurately positioning the defective parts of the insulator.