日本金属学会 2020年春期(第166回)講演大会

Presentation information

Poster Session

11.Computational Science » Computational Science

[P] 11.計算科学

Tue. Mar 17, 2020 12:30 PM - 2:30 PM Poster Session (Centennial Hall)

[P25] Machine Learning Workflows for Microstructure Phase Image Analysis in Metallurgy

*Bulgarevich Dmitry S.1, 塚本 進1, 糟谷 正2, 出村 雅彦1, 渡邊 誠1,2 (1. National Institute for Materials Science (NIMS), Japan、2. The University of Tokyo, Japan)

Keywords:metallurgy、machine learning、microstructures、optical microscopy、pattern recognition

We are reporting the combination of the categorizing and pattern-recognizing methods with a total solution for automatic expert-level quantification of a wide range of steel microstructures.

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