Presentation Information
[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.