An Automatic Defect Detection System for Petrochemical Pipeline Based on Cycle-GAN and YOLO v5

Defect detection of petrochemical pipelines is an important task for industrial production safety. At present, pipeline defect detection mainly relies on closed circuit television method (CCTV) to take video of the pipeline inner wall and then detect the defective area manually, so the detection is...

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Detalles Bibliográficos
Autores principales: Chen, Kun, Li, Hongtao, Li, Chunshu, Zhao, Xinyue, Wu, Shujie, Duan, Yuxiao, Wang, Jinshen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9609589/
https://www.ncbi.nlm.nih.gov/pubmed/36298258
http://dx.doi.org/10.3390/s22207907

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9609589/
https://www.ncbi.nlm.nih.gov/pubmed/36298258
http://dx.doi.org/10.3390/s22207907

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