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题名: Atmospheric corrosion assessed from corrosion images using fuzzy Kolmogorov-Sinai entropy
作者: Xia, Da-Hai;  Ma, Chao;  Song, Shizhe;  Jin, Weixian;  Behnamian, Yashar;  Fan, Hongqiang;  Wang, Jihui;  Gao, Zhiming;  Hu, Wenbin
发表日期: 2017-5-15
摘要: Fuzzy Kolmogorov-Sinai (K-S) entropy was used to characterize the irregularity of the spatial information distribution in a corrosion image. The fuzzy K-S entropy was measured for horizontal and vertical orientations of corrosion images of steel samples exposed to a marine atmosphere over 191 days. The fuzzy K-S entropy for horizontal and vertical orientations decreased as the corrosion propagated. A relationship between the fuzzy K-S entropy and the weight loss in the steel sample can be presented with a linear mathematical expression. Fuzzy K-S entropy was found to be a semiquantitative and fast method to quantify atmospheric corrosion. (C) 2017 Elsevier Ltd. All rights reserved.
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Recommended Citation:
Xia, Da-Hai,Ma, Chao,Song, Shizhe,et al. Atmospheric Corrosion Assessed From Corrosion Images Using Fuzzy Kolmogorov-sinai Entropy[J]. Corrosion Science,2017,120:251-256.

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