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RDLK-YOLO enhanced pipeline defect detection in uneven illumination

Abstract Effective detection and timely treatment of drainage pipeline defects are crucial for maintaining underground pipeline systems and urban environments. Traditional image processing methods often struggle under complex lighting conditions. This study proposes a lighting compensation and featu...

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Principais autores: Hailin Wang, Zao Feng, Mingkai Jiang, Yujie Luo
Formato: Artigo
Idioma:Inglês
Publicado: Nature Portfolio 2025-12-01
Series:Scientific Reports
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Acceso en liña:https://doi.org/10.1038/s41598-025-18808-y
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