CAJ | 학술논문

提出了一种红外图像特征与Softmax回归相结合的方法识别绝缘子污秽等级。通过对红外图像的灰度化、图像滤波、二值化、盘面分割、半盘面提取等预处理过程，获取单个绝缘子半盘面区域。设计了以环境温度、绝缘子背景图像的平均灰度、绝缘子盘面区域的平均灰度、绝缘子盘面灰度分布的方差值、灰度熵和环境湿度共6个反映污秽等级的特征集的基于Softmax回归多值分类模型识别绝缘子污秽等级。引入概率阈值从问题源头出发，解决了拍摄时所产生的无效绝缘子红外图像对污秽等级分类的影响。实验结果表明所选取的特征集和绝缘子污秽识别模型高效且可行。
제출료일충홍외도상특정여Softmax회귀상결합적방법식별절연자오예등급。통과대홍외도상적회도화、도상려파、이치화、반면분할、반반면제취등예처리과정，획취단개절연자반반면구역。설계료이배경온도、절연자배경도상적평균회도、절연자반면구역적평균회도、절연자반면회도분포적방차치、회도적화배경습도공6개반영오예등급적특정집적기우Softmax회귀다치분류모형식별절연자오예등급。인입개솔역치종문제원두출발，해결료박섭시소산생적무효절연자홍외도상대오예등급분류적영향。실험결과표명소선취적특정집화절연자오예식별모형고효차가행。
This paper presents a characteristic infrared thermal imaging combined with Softmax regression methods to identify insulator contamination levels. Through the infrared images of gray, image filtering, binarization, disk partition, semi-disk extraction pretreatment process, a single semi-insulator disk area is obtained. It designs with 6 characteristics of environment temperature, the average gray background image insulator, insulator disk region average gray, gray distribu-tion of insulator disk, gray entropy variance and environment humidity that reflects contamination level based Softmax re-gression multiple classification model to identify insulator contamination levels. Probability threshold is introduced start-ing from the source of the problem to solve the resulting improper shooting invalid insulator infrared image on the contam-ination level of classification. Experimental results show that the selected feature sets and insulator contamination recogni-tion model are efficient and feasible.