MLography: An Automated Quantitative Metallography Model for Impurities Anomaly Detection using Novel Data Mining and Deep Learning Approach

1 code implementation • 27 Feb 2020 • Matan Rusanovsky, Gal Oren, Sigalit Ifergane, Ofer Beeri

The micro-structure of most of the engineering alloys contains some inclusions and precipitates, which may affect their properties, therefore it is crucial to characterize them.

Anomaly Detection