Atmospheric corrosion assessed from corrosion images using fuzzy Kolmogorov-Sinai entropy

被引：22

作者：

Xia, Da-Hai ^{[1
,5
]}

Ma, Chao ^{[1
]}

Song, Shizhe ^{[1
]}

Jin, Weixian ^{[4
]}

Behnamian, Yashar ^{[3
]}

Fan, Hongqiang ^{[2
]}

Wang, Jihui ^{[1
]}

Gao, Zhiming ^{[1
]}

Hu, Wenbin ^{[1
]}

机构：

[1] Tianjin Univ, Tianjin Key Lab Composite & Funct Mat, Sch Mat Sci & Engn, Tianjin 300354, Peoples R China

[2] Shanghai Univ, Lab Microstruct, Inst Mat, Sch Mat Sci & Engn, Shanghai 200072, Peoples R China

[3] Univ Alberta, Dept Chem & Mat Engn, Edmonton, AB T6G 2V4, Canada

[4] Cent Res Inst Iron & Steel, Zhoushan Marine Corros Inst, Zhoushan 316000, Zhejiang, Peoples R China

[5] Chinese Acad Sci, Inst Met Res, CAS Key Lab Nucl Mat & Safety Assessment, Shenyang 110016, Liaoning, Peoples R China

来源：

CORROSION SCIENCE | 2017年 / 120卷

基金：

中国国家自然科学基金;

关键词：

carbon steel; weight loss; atmospheric corrosion; Kolmogorov-Sinai entropy; Image processing; TEXTURE ANALYSIS; ALUMINUM-ALLOYS; CLASSIFICATION; EXPOSURE; COATINGS; DAMAGE; MODEL; FILM;

D O I：

10.1016/j.corsci.2017.02.015

中图分类号：

T [工业技术];

学科分类号：

08 ;

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.

引用

页码：251 / 256

页数：6

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