首页|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

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

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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.
Analysis of Computer Vision Recognition and Feature Extraction Methods for Surface Discharge Phenomena of Insulation Materials
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.

insulation materialssurface dischargecomputer visionfeature extraction

刘军超、赵中亭、袁钤亚、刘洋、范昌改

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河南森源电气股份有限公司,河南 461500

绝缘材料 表面放电 计算机视觉 特征提取

2024

集成电路应用
上海贝岭股份有限公司

集成电路应用

影响因子:0.132
ISSN:1674-2583
年,卷(期):2024.41(7)