2 papers
cs.CV2018
High throughput quantitative metallography for complex microstructures using deep learning: A case study in ultrahigh carbon steel
Brian L. DeCost, Bo Lei, Toby Francis +1
We apply a deep convolutional neural network segmentation model to enable novel automated microstructure segmentation applications for complex microstructures typically evaluated m…
cond-mat.mtrl-sci2017
Exploring the microstructure manifold: image texture representations applied to ultrahigh carbon steel microstructures
Brian L. DeCost, Toby Francis, Elizabeth A. Holm
We introduce a microstructure informatics dataset focusing on complex, hierarchical structures found in a single Ultrahigh carbon steel under a range of heat treatments. Applying i…