Exploring the microstructure manifold: Image texture representations applied to ultrahigh carbon steel microstructures

Author:

DeCost Brian L.,Francis Toby,Holm Elizabeth A.ORCID

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Metals and Alloys,Polymers and Plastics,Ceramics and Composites,Electronic, Optical and Magnetic Materials

Reference58 articles.

1. A computer vision approach for automated analysis and classification of microstructural image data;DeCost;Comput. Mater. Sci.,2015

2. Computer vision and machine learning for autonomous characterization of am powder feedstocks;DeCost;JOM,2017

3. Image driven machine learning methods for microstructure recognition;Chowdhury;Comput. Mater. Sci.,2016

4. Nicholas Lubbers, Turab Lookman, and Kipton Barros. Inferring low-dimensional microstructure representations using convolutional neural networks. arXiv preprint arXiv:1611.02764, 2016.

5. Leon A Gatys, Alexander S Ecker, and Matthias Bethge. A neural algorithm of artistic style. arXiv preprint arXiv:1508.06576, 2015.

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