MEM-RCNN: A Deep Learning Based Image Segmentation Algorithm for Pipeline Magnetic Leakage Defects
Author:
Affiliation:
1. Shenyang Aerospace University,Shenyang,China,110136
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10424961/10425795/10425796.pdf?arnumber=10425796
Reference17 articles.
1. A Double Remote Magnetic Field Synthesis Method for Reducing High-Speed MFL Signal Distortion Caused by Velocity Effect
2. Quality Control and Feature Restoration of High-Speed Magnetic Flux Leakage Signals based on Signal Compensation Method
3. Pulsed Magnetic Flux Leakage Measurement Using Magnetic Head and Tunneling Magnetoresistance for Defect Detection
4. A Novel Weld Defect Detection Method for Intelligent Magnetic Flux Leakage Detection System via Contextual Relation Network
5. Deep learning based weld and flange identification in pipeline [J];Yang;Journal of Northwest University,2021
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