4 citations · 4 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2021
An End-to-End Computer Vision Methodology for Quantitative Metallography
Matan Rusanovsky, Ofer Beeri, Gal Oren
Metallography is crucial for a proper assessment of material's properties. It involves mainly the investigation of spatial distribution of grains and the occurrence and characteris…
eess.SP2020★ 4 cited
MLography: An Automated Quantitative Metallography Model for Impurities Anomaly Detection using Novel Data Mining and Deep Learning Approach
Matan Rusanovsky, Gal Oren, Sigalit Ifergane +1
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. In…