Arc bubble edge detection method based on deep transfer learning in underwater wet welding

Abstract The stability of arc bubble is a crucial indicator of underwater wet welding process. However, limited research exists on detecting arc bubble edges in such environments, and traditional algorithms often produce blurry and discontinuous results. To address these challenges, we propose a nov...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Bo Guo, Xu Li
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-09-01
Subjects:	Edge detection Deep transfer learning Arc bubble Underwater wet welding
Online Access:	https://doi.org/10.1038/s41598-024-73516-3