Статья
2018

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

Yang Song Yang Song , Bing Zhou Bing Zhou , Yingying Zhang Yingying Zhang , Xinhui Nie Xinhui Nie , Chao Ma Chao Ma , Zhiming Gao Zhiming Gao , Da-Hai Xia Da-Hai Xia
Российский электрохимический журнал
https://doi.org/10.1134/S1023193518130451
Abstract / Full Text
Song, Y., Zhou, B., Zhang, Y. et al. The Kolmogorov–Sinai Entropy in the Setting of Fuzzy Sets for Atmospheric Corrosion Image Texture Analysis. Russ J Electrochem 54, 867–872 (2018). https://doi.org/10.1134/S1023193518130451

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.

Author information

  • Tianjin Key Laboratory of Composite and Functional Materials, School of Material Science and Engineering, Tianjin University, Tianjin, 300072, China

    Yang Song, Chao Ma, Zhiming Gao & Da-Hai Xia

  • CNPC research institute of engineering technology, Tianjin, 300451, China

    Bing Zhou & Yingying Zhang

  • Guodian Science and Technology Research Institute, China Guodian, Nanjing, 210023, China

    Xinhui Nie

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