Texture digital analysis for corrosion monitoring

被引：40

作者：

Feliciano, Flavio Felix ^{[1
,2
]}

Leta, Fabiana Rodrigues ^{[3
]}

Mainier, Fernando Benedicto ^{[4
]}

机构：

[1] Univ Fed Fluminense, Mech Engn Postgrad Program, Rio De Janeiro, Brazil

[2] Inst Fed Fluminense, Rio De Janeiro, Brazil

[3] Univ Fed Fluminense, Dept Mech Engn, Rio De Janeiro, Brazil

[4] Univ Fed Fluminense, Dept Chem Engn, Rio De Janeiro, Brazil

来源：

CORROSION SCIENCE | 2015年 / 93卷

关键词：

Carbon steel; Atmospheric corrosion; Rust; IMAGE-ANALYSIS; SURFACE; QUANTIFICATION; PRODUCTS; SUPPORT; DAMAGE; FILM;

D O I：

10.1016/j.corsci.2015.01.017

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This article proposes the use of texture analysis, an automated optical inspection technique, for non-destructive surface corrosion monitoring. It presents an ASTM A36 steel atmospheric corrosion test conducted over 44 days to obtain a photo sequence of corrosion evolution. These images have been processed for six textural characteristics, and the values are presented as "feature variation versus time" graphs. The results show that the technique is feasible as a new method to check the surface corrosion state. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：138 / 147

页数：10

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