The Kolmogorov–Sinai Entropy in the Setting of Fuzzy Sets for Atmospheric Corrosion Image Texture Analysis


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Image analysis gives us a new opportunity in corrosion science. Fuzzy Kolmogorov–Sinai (K–S) entropy is used to quantify the average amount of uncertainty of a dynamical system through a sequence of observations. The fuzzy K–S entropy for horizontal and vertical orientations is sensitive to distribution of corrosion product or corrosion degree, and the entropy values decrease as the corrosion becomes more and more serious. It is concluded that the fuzzy K–S entropy is illustrated as an effective feature for image analysis and corrosion classification.

作者简介

Yang Song

Tianjin Key Laboratory of Composite and Functional Materials, School of Material Science and Engineering

Email: gaozhiming@tju.edu.cn
中国, Tianjin, 300072

Bing Zhou

CNPC research institute of engineering technology

Email: gaozhiming@tju.edu.cn
中国, Tianjin, 300451

Yingying Zhang

CNPC research institute of engineering technology

Email: gaozhiming@tju.edu.cn
中国, Tianjin, 300451

Xinhui Nie

Guodian Science and Technology Research Institute

Email: gaozhiming@tju.edu.cn
中国, Nanjing, 210023

Chao Ma

Tianjin Key Laboratory of Composite and Functional Materials, School of Material Science and Engineering

Email: gaozhiming@tju.edu.cn
中国, Tianjin, 300072

Zhiming Gao

Tianjin Key Laboratory of Composite and Functional Materials, School of Material Science and Engineering

编辑信件的主要联系方式.
Email: gaozhiming@tju.edu.cn
中国, Tianjin, 300072

Da-Hai Xia

Tianjin Key Laboratory of Composite and Functional Materials, School of Material Science and Engineering

Email: gaozhiming@tju.edu.cn
中国, Tianjin, 300072

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