3 papers
cond-mat.mtrl-sci2021
Instance Segmentation for Direct Measurements of Satellites in Metal Powders and Automated Microstructural Characterization from Image Data
Ryan Cohn, Iver Anderson, Tim Prost +3
We propose instance segmentation as a useful tool for image analysis in materials science. Instance segmentation is an advanced technique in computer vision which generates individ…
cond-mat.mtrl-sci2020
Unsupervised machine learning via transfer learning and k-means clustering to classify materials image data
Ryan Cohn, Elizabeth Holm
Unsupervised machine learning offers significant opportunities for extracting knowledge from unlabeled data sets and for achieving maximum machine learning performance. This paper…
cs.CV2020
Overview: Computer vision and machine learning for microstructural characterization and analysis
Elizabeth A. Holm, Ryan Cohn, Nan Gao +4
The characterization and analysis of microstructure is the foundation of microstructural science, connecting the materials structure to its composition, process history, and proper…