Quantitative Analysis of Metallographic Image Using Attention-Aware Deep Neural Networks

As a detection tool to identify metal or alloy, metallographic quantitative analysis has received increasing attention for its ability to evaluate quality control and reveal mechanical properties. The detection procedure is mainly operated manually to locate and characterize the constitution in meta...

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Detalles Bibliográficos
Autores principales: Xu, Yifei, Zhang, Yuewan, Zhang, Meizi, Wang, Mian, Xu, Wujiang, Wang, Chaoyong, Sun, Yan, Wei, Pingping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796035/
https://www.ncbi.nlm.nih.gov/pubmed/33374842
http://dx.doi.org/10.3390/s21010043

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796035/
https://www.ncbi.nlm.nih.gov/pubmed/33374842
http://dx.doi.org/10.3390/s21010043

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