绝缘材料表面放电现象的计算机视觉识别与特征提取方法分析  

Feature Extraction Methods for Surface Discharge Phenomena of Insulation Materials

作　　者：刘军超[1] 赵中亭[1] 袁钤亚[1] 刘洋[1] 范昌改 LIU Junchao;ZHAO Zhongting;YUAN Qianya;LIU Yang;FAN Changgai(Henan Senyuan Electric Co.,Ltd.,Henan 461500,China)

机构地区：[1]河南森源电气股份有限公司,河南461500

出　　处：《集成电路应用》2024年第7期146-147,共2页Application of IC

摘　　要：阐述绝缘材料表面放电现象的计算机视觉分析与特征提取。通过图像处理技术和特征提取算法,准确捕获并定量评估绝缘材料表面放电情况。该方法在实时监测和诊断方面具有潜在的应用前景。This paper expounds the computer vision analysis and feature extraction of surface discharge phenomena in insulating materials.It accurately captures and quantitatively evaluates the surface discharge of insulation materials through image processing technology and feature extraction algorithms.This method has potential application prospects in real-time monitoring and diagnosis.

关 键 词：绝缘材料 表面放电 计算机视觉 特征提取 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]