Machine learning to analyze images of shocked materials for precise and accurate measurements

Machine learning to analyze images of shocked materials for precise and accurate measurements

A supervised machine learning algorithm, called locally adaptive discriminant analysis (LADA), has been developed to locate boundaries between identifiable image features that have varying intensities. LADA is an adaptation of image segmentation, which includes techniques that find the positions of...

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Bibliographic Details
Main Authors: Howard, Marylesa, Hock, Margaret C., Meehan, B. T., Ramos, Kyle J., Bolme, Cindy A., Sandberg, Richard L., Dresselhaus-Cooper, Leora Eve, Nelson, Keith Adam
Other Authors: Massachusetts Institute of Technology. Institute for Soldier Nanotechnologies
Format: Article
Published: American Institute of Physics (AIP) 2018
Online Access:http://hdl.handle.net/1721.1/113383
https://orcid.org/0000-0002-0757-0159
https://orcid.org/0000-0001-7804-5418

Internet

http://hdl.handle.net/1721.1/113383
https://orcid.org/0000-0002-0757-0159
https://orcid.org/0000-0001-7804-5418

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