The Method of Insulator Defect Recognition Based on Group Theory

被引：4

作者：

Deng, Changjian ^{[1
,2
]}

机构：

[1] Artificial Intelligence Key Lab Sichuan Prov, Chengdu 643000, Peoples R China

[2] Chengdu Univ Informat Technol, Sch Control Engn, Chengdu 610225, Peoples R China

来源：

IEEE ACCESS | 2021年 / 9卷

关键词：

Insulators; Algebra; Mathematical model; Transforms; Object segmentation; Manifolds; Image segmentation; Defects; image recognition; Lie group; group theory; SIGNAL-PROCESSING THEORY;

D O I：

10.1109/ACCESS.2021.3095382

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The auto insulator defect recognition method is more efficient and reliable than manual method, and it has lots of application. The paper presents an insulator recognition method, and meanwhile it attempts to explore the intrinsic characteristics among different images. Then, based on that many transformations of the image have the structure of matrix Lie group;the paper proposes a method that can recognize the defect of insulator using the Lie group method. The simulation results show the effective of the method.

引用

页码：96380 / 96389

页数：10

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