Material microstructures analyzed by using gray level Co-occurrence matrices

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Author(s)

Detail(s)

Original languageEnglish
Article number098104
Journal / PublicationChinese Physics B
Volume26
Issue number9
Online published27 Jul 2017
Publication statusPublished - Sept 2017
Externally publishedYes

Abstract

The mechanical properties of materials greatly depend on the microstructure morphology. The quantitative characterization of material microstructures is essential for the performance prediction and hence the material design. At present, the quantitative characterization methods mainly rely on the microstructure characterization of shape, size, distribution, and volume fraction, which related to the mechanical properties. These traditional methods have been applied for several decades and the subjectivity of human factors induces unavoidable errors. In this paper, we try to bypass the traditional operations and identify the relationship between the microstructures and the material properties by the texture of image itself directly. The statistical approach is based on gray level Co-occurrence matrix (GLCM), allowing an objective and repeatable study on material microstructures. We first present how to identify GLCM with the optimal parameters, and then apply the method on three systems with different microstructures. The results show that GLCM can reveal the interface information and microstructures complexity with less human impact. Naturally, there is a good correlation between GLCM and the mechanical properties.

Research Area(s)

  • gray level Co-occurrence matrix, mechanical properties, microstructures, quantitative characterization

Citation Format(s)

Material microstructures analyzed by using gray level Co-occurrence matrices. / Hu, Yansu; Wang, Zhijun; Fan, Xiaoguang et al.
In: Chinese Physics B, Vol. 26, No. 9, 098104, 09.2017.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review