A methodology of steel microstructure recognition using SEM images by machine learning based on textural analysis-Reference-Cited by-同舟云学术

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A methodology of steel microstructure recognition using SEM images by machine learning based on textural analysis

Published:2020-12 Issue: Volume:25 Page:101514
ISSN:2352-4928
Container-title:Materials Today Communications
language:en
Short-container-title:Materials Today Communications

Author:

Tsutsui Kazumasa,Terasaki Hidenori,Uto Kyohei,Maemura Tatsuya,Hiramatsu Shogo,Hayashi Kotaro,Moriguchi Koji,Morito Shigekazu

Publisher

Elsevier BV

Subject

Materials Chemistry,Mechanics of Materials,General Materials Science

Reference39 articles.

1. Pattern Recognition and Machine Learning;Bishop,2006

2. Deep Learning, Adaptive Computation and Machine Learning series;Goodfellow,2016

3. Microstructure recognition by deep learning;Adachi;Tetsu-to-Hagane,2016

4. Autonomous interpretation of the microstructure of steels and special alloys;Mulewicz;Mater. Sci. Forum,2019

5. Exploring the microstructure manifold: image texture representations applied to ultrahigh carbon steel microstructures;DeCost;Acta Mater.,2017

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