基于红外图像的绝缘子串自动提取和状态识别  

Algorithm Research of Automatically Extracting the Area of Insulator from Infrared Image and State Identification

作　　者：姚建刚[1] 付鹏[1] 李唐兵[2] 朱向前[1] 伍也凡 欧阳旭[1] 付强[1] 

机构地区：[1]湖南大学电气与信息工程学院,湖南长沙410082 [2]江西省电力科学研究院,江西南昌330096

出　　处：《湖南大学学报（自然科学版）》2015年第2期74-80,共7页Journal of Hunan University:Natural Sciences

基　　金：国家重点产业振兴和技术改造项目(国发改投资[2010]2272);江西省电力公司科技项目(赣电科201350617)

摘　　要：为解决目前绝缘子低零值检测方法漏判率高、操作繁琐的问题,提出了一种新的绝缘子串红外图像中绝缘子盘面和铁帽区域自动提取方法和状态识别模型.首先将现场拍摄的绝缘子红外图像进行灰度化处理、去噪、二值化;然后从二值图像中提取反映绝缘子的特征点集合;通过特征点对二值图进行角度校正;最后通过区域提取中的特定算法提取出绝缘子的盘面和铁帽区域.通过提取该区域内的绝对温度、纹理和相对温差率作为绝缘子状态识别的特征集.将用电压分布法测得的绝缘子状态信息作为输出向量,通过训练得到优化的识别模型,用于绝缘子状态识别.该方法经过了220kV试验验证,证实了模型的有效性和实用性.To solve the problem of high missing rate and complicated operation in the detection methods of faulty insulator,this paper proposed a new method to automatically extract the disks and steel caps area of insulator from infrared image：via infrared image preprocessing,feature extraction,angle correction and regional extraction to achieve the purpose.This method first makes gray scene processing of insulator infrared image,noise reduction and binarization;then extracts the feature set related to insulator from the binary image to correct the angle of the binary image;finally extracts the disks and steel caps area through the specific algorithm of regional extraction.By extracting the absolute temperature region,texture and relative temperature difference as the insulator state recognition feature set,and the information obtained by measuring the voltage distribution of insulator state as output vector,the model was optimized by training.And the 220kV experiment confirms the validity and usefulness of the method.

关 键 词：绝缘子 红外图像 二值形态学 HOUGH变换 自动提取 铁帽 纹理特性 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构] TM85[自动化与计算机技术—计算机科学与技术]