电瓷避雷器Issue(2)：83-92,100,11.DOI:10.16188/j.isa.1003-8337.2026.02.011
基于融合分割与形态特征分析的绝缘子自爆识别
Identification of Insulator Self-Explosion Based on Fusion Segmentation and Morphological Feature Analysis
罗朝丰 1刘平平 1方杰 1顾伟 1张宸 1徐涵青 1董心怡1
作者信息
- 1. 国网浙江省电力有限公司湖州供电公司,浙江湖州 313000
- 折叠
摘要
Abstract
Aiming at the problem that the traditional method has low recognition rate of insulator self-ex-plosion defects and it is difficult to segment double-string insulators,the author proposes an insulator self-explosion recognition method based on fusion segmentation and connected domain morphological feature analysis.Firstly,the infrared image of insulator is segmented by double threshold,and the visible light image is segmented by HSI color feature,and the target area is segmented by logical operation.Then,morphological filtering and adhesion connected domain separation are carried out on the insulator target area;After that,the minimum circumscribed rectangle is located in the connected area of insula-tors,and the mathematical model of the midpoint of the circumscribed rectangle is constructed.The opti-mal separation line is found by least square method to realize the separation of double-string insulators,and finally a threshold is set for the distance between adjacent insulators to realize the identification of self-explosion defects.The experimental results show that this method has better recognition perform-ance than other common traditional methods.关键词
绝缘子/自爆缺陷/红外图像/可视光图像/融合分割/形态特征分析/极限腐蚀算法/最小二乘法Key words
insulator/self-explosion defect/infrared image/visible light image/fusion segmentation/morphological characteristics analysis/limit corrosion algorithm/least square method引用本文复制引用
罗朝丰,刘平平,方杰,顾伟,张宸,徐涵青,董心怡..基于融合分割与形态特征分析的绝缘子自爆识别[J].电瓷避雷器,2026,(2):83-92,100,11.
