Research on Insulator Defect Detection Method Based on Image Processing and Watershed Algorithm

Author:

Ni Leiyu1,Ma Yongji1,Lin Qian2,Yang Jingjing2,Jin Lijun1

Affiliation:

1. Tongji University,School of Electronics and Information Engineering,Shanghai,China

2. State grid Shandong electric power company,Weifang power supply company,Shandong,China

Funder

Science and Technology Project of State Grid

Publisher

IEEE

Reference15 articles.

1. Insulator damage identification and location based on improved capsule network;bian;Insulators and Surge Arresters,2021

2. Insulator identification method based on multi-feature;yu;Insulators and Surge Arresters,2016

3. Recognition of insulator string in power grid patrol images;yao;Journal of System Simulation,2012

4. Identification and defect detection of transmission line insulator based on aerial images;wei;Journal of Geotechnical Investigation and Surveying,2020

5. Segmentation of insulator images based on HIS color;ma;Journal of Dalian nationalities university,2010

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Image Processing Based Approach Towards Recognition of Underground Cable Defects;2024 Second International Conference on Smart Technologies for Power and Renewable Energy (SPECon);2024-04-02

2. Improved YOLOv7 Model for Insulator Surface Defect Detection;2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC);2022-12-16

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