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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5794901/ https://www.ncbi.nlm.nih.gov/pubmed/29391483 http://dx.doi.org/10.1038/s41598-018-20438-6 |