Application of Deep Learning Workflow for Autonomous Grain Size Analysis

Traditional grain size determination in materials characterization involves microscopy images and a laborious process requiring significant manual input and human expertise. In recent years, the development of computer vision (CV) has provided an alternative approach to microstructural characterizat...

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Detalles Bibliográficos
Autores principales: Bordas, Alexandre, Zhang, Jingchao, Nino, Juan C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9369622/
https://www.ncbi.nlm.nih.gov/pubmed/35956777
http://dx.doi.org/10.3390/molecules27154826

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9369622/
https://www.ncbi.nlm.nih.gov/pubmed/35956777
http://dx.doi.org/10.3390/molecules27154826

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