A Lightweight Deep Network for Defect Detection of Insert Molding Based on X-ray Imaging

Aiming at the abnormality detection of industrial insert molding processes, a lightweight but effective deep network is developed based on X-ray images in this study. The captured digital radiography (DR) images are firstly fast guide filtered, and then a multi-task detection dataset is constructed...

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Detalles Bibliográficos
Autores principales: Wang, Benwu, Huang, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402496/
https://www.ncbi.nlm.nih.gov/pubmed/34451057
http://dx.doi.org/10.3390/s21165612

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402496/
https://www.ncbi.nlm.nih.gov/pubmed/34451057
http://dx.doi.org/10.3390/s21165612

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