Objective microstructure classification by support vector machine (SVM) using a combination of morphological parameters and textural features for low carbon steels

Title
Objective microstructure classification by support vector machine (SVM) using a combination of morphological parameters and textural features for low carbon steels
Authors
Keywords
Microstructure classification, Data mining, Support vector machine (SVM), Haralick image texture, Morphological parameter, SEM, LOM, Low-carbon low-alloy steel
Journal
COMPUTATIONAL MATERIALS SCIENCE
Volume 160, Issue -, Pages 186-196
Publisher
Elsevier BV
Online
2019-01-15
DOI
10.1016/j.commatsci.2019.01.006

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