Pattern recognition with machine learning on optical microscopy images of typical metallurgical microstructures

For advanced materials characterization, a novel and extremely effective approach of pattern recognition in optical microscopic images of steels is demonstrated. It is based on fast Random Forest statistical algorithm of machine learning for reliable and automated segmentation of typical steel micro...

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Bibliographic Details
Published in:Sci Rep
Main Authors: Bulgarevich, Dmitry S., Tsukamoto, Susumu, Kasuya, Tadashi, Demura, Masahiko, Watanabe, Makoto
Format: Artigo
Language:Inglês
Published: Nature Publishing Group UK 2018
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Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC5794901/
https://ncbi.nlm.nih.gov/pubmed/29391483
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-20438-6
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