Image driven machine learning methods for microstructure recognition
- 1 October 2016
- journal article
- Published by Elsevier in Computational Materials Science
- Vol. 123, 176-187
- https://doi.org/10.1016/j.commatsci.2016.05.034
Abstract
No abstract availableFunding Information
- National Sleep Foundation (1056704, 1302231)
- Division of Materials Research (1056704, 1302231)
- Division of Information and Intelligent Systems (1056704, 1302231)
This publication has 23 references indexed in Scilit:
- Optimal precipitate shapes in nickel-base γ–γ′ alloysActa Materialia, 2012
- On the use of 2-D moment invariants for the automated classification of particle shapesActa Materialia, 2007
- Materials InformaticsMRS Bulletin, 2006
- An evaluation of global thresholding techniques for the automatic image segmentation of automotive aluminum sheet alloysMaterials Science and Engineering: A, 2004
- Multiresolution gray-scale and rotation invariant texture classification with local binary patternsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
- Support vector machinesIEEE Intelligent Systems and their Applications, 1998
- Wrappers for feature subset selectionArtificial Intelligence, 1997
- A k-nearest neighbor classification rule based on Dempster-Shafer theoryIEEE Transactions on Systems, Man, and Cybernetics, 1995
- Invariant image recognition by Zernike momentsIEEE Transactions on Pattern Analysis and Machine Intelligence, 1990
- Visual pattern recognition by moment invariantsIEEE Transactions on Information Theory, 1962