中国物理B ›› 2017, Vol. 26 ›› Issue (9): 98104-098104.doi: 10.1088/1674-1056/26/9/098104

• INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY • 上一篇    下一篇

Material microstructures analyzed by using gray level Co-occurrence matrices

Yansu Hu(胡延苏), Zhijun Wang(王志军), Xiaoguang Fan(樊晓光), Junjie Li(李俊杰), Ang Gao(高昂)   

  1. 1 School of Electronics and Control, Chang'an University, Xi'an 710064, China;
    2 School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, China;
    3 School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China
  • 收稿日期:2017-04-01 修回日期:2017-06-05 出版日期:2017-09-05 发布日期:2017-09-05
  • 通讯作者: Zhijun Wang E-mail:zhjwang@nwpu.edu.cn
  • 基金资助:

    Project supported by the National Natural Science Foundation of China (Grant Nos. 5147113 and 51505037) and the Fundamental Research Funds for the Central Universities of Ministry of Education of China (Grant Nos. 3102017zy029, 310832163402, and 310832163403).

Material microstructures analyzed by using gray level Co-occurrence matrices

Yansu Hu(胡延苏)1, Zhijun Wang(王志军)2, Xiaoguang Fan(樊晓光)2, Junjie Li(李俊杰)2, Ang Gao(高昂)3   

  1. 1 School of Electronics and Control, Chang'an University, Xi'an 710064, China;
    2 School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, China;
    3 School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China
  • Received:2017-04-01 Revised:2017-06-05 Online:2017-09-05 Published:2017-09-05
  • Contact: Zhijun Wang E-mail:zhjwang@nwpu.edu.cn
  • Supported by:

    Project supported by the National Natural Science Foundation of China (Grant Nos. 5147113 and 51505037) and the Fundamental Research Funds for the Central Universities of Ministry of Education of China (Grant Nos. 3102017zy029, 310832163402, and 310832163403).

RichHTML

0

PDF (PC)

229

赞

摘要：

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.

关键词: microstructures, quantitative characterization, mechanical properties, gray level Co-occurrence matrix

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.

Key words: microstructures, quantitative characterization, mechanical properties, gray level Co-occurrence matrix

中图分类号:  (Phase diagrams and microstructures developed by solidification and solid-solid phase transformations)

  • 81.30.-t
81.70.-q (Methods of materials testing and analysis) 81.90.+c (Other topics in materials science)