Deep Learning Neural Network Performance on NDT Digital X-ray Radiography Images: Analyzing the Impact of Image Quality Parameters—An Experimental Study

In response to the growing inspection demand exerted by process automation in component manufacturing, non-destructive testing (NDT) continues to explore automated approaches that utilize deep-learning algorithms for defect identification, including within digital X-ray radiography images. This nece...

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Detalles Bibliográficos
Autores principales: Hena, Bata, Wei, Ziang, Castanedo, Clemente Ibarra, Maldague, Xavier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181732/
https://www.ncbi.nlm.nih.gov/pubmed/37177528
http://dx.doi.org/10.3390/s23094324

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181732/
https://www.ncbi.nlm.nih.gov/pubmed/37177528
http://dx.doi.org/10.3390/s23094324

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