Insulator Detection and Defect Classification using Rotation Invariant Local Directional Pattern
Author:
Publisher
The Science and Information Organization
Subject
General Computer Science
Link
http://thesai.org/Downloads/Volume9No2/Paper_37-Insulator_Detection_and_Defect_Classification.pdf
Cited by 11 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. CN-YOLO: cascaded network based defect detection approach for insulator aerial images with complex background;Journal of Electronic Imaging;2024-04-16
2. Power Transmission Line Inspections: Methods, Challenges, Current Status and Usage of Unmanned Aerial Systems;Journal of Intelligent & Robotic Systems;2024-03-26
3. Detecting Insulator Defects Method in Transmission Lines Based on Deep Neural Network;2023 10th International Forum on Electrical Engineering and Automation (IFEEA);2023-11-03
4. Automatic Inspection Method of Power System Based on Image Recognition;2023 Panda Forum on Power and Energy (PandaFPE);2023-04
5. PEDNet: A Lightweight Detection Network of Power Equipment in Infrared Image Based on YOLOv4-Tiny;IEEE Transactions on Instrumentation and Measurement;2023
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