中国电力2017，Vol.50Issue(5)：52-58,64,8.DOI:10.11930/j.issn.1004-9649.2017.05.052.07
基于多特征融合的玻璃绝缘子识别及自爆缺陷的诊断
The Identification and Diagnosis of Self-Blast Defects of Glass Insulators Based on Multi-Feature Fusion
摘要
Abstract
In order to improve the recognition accuracy of insulators in UAV inspection and effectively reduce the influence of the background texture and illumination,a new insulator recognition method is proposed,which integrates the shape,color and texture of insulators.Aimed at the off-chip defects of glass insulators,a defect-detecting method is presented,which can sense the distance between gravity centers of insulator chips,and has an recognition accuracy of insulators higher than 90％.Based on testing with numerous UVA inspection images of transmission lines,it is proved that the proposed method can effectively recognize the insulators under various complicated background conditions,and detect the off-chip defects of glass insulators.关键词
玻璃绝缘子/绝缘子识别/绝缘子缺陷诊断/平行形状/显著性模型Key words
glass insulator/insulator recognition/insulator defect diagnosis/parallel shape/saliency model分类
信息技术与安全科学引用本文复制引用
姜云土,韩军,丁建,傅寒凝,王榆夫,曹伟..基于多特征融合的玻璃绝缘子识别及自爆缺陷的诊断[J].中国电力,2017,50(5):52-58,64,8.基金项目
国家电网公司科技资助项目(520626140006)This work is supported by Science and Technology Program of SGCC (No.520626140006). （520626140006）
