Evaluation of Simulated Atmospheric Corrosion of Q235 Steel by Wavelet Packet Image Analysis

被引：0

作者：

Gao, Zhi-ming ^{[1
]}

Han, Xia-bing ^{[1
]}

Dang, Li-hua ^{[1
]}

Wang, Ying ^{[1
]}

Bi, Hui-chao ^{[1
]}

机构：

[1] Tianjin Univ, Sch Mat Sci & Engn, Tianjin 300072, Peoples R China

来源：

INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE | 2012年 / 7卷 / 10期

基金：

中国国家自然科学基金;

关键词：

Atmospheric corrosion; Corrosion morphology; Wavelet Packet Decomposition; Image analysis; Corrosion prediction; PITTING CORROSION; ALUMINUM; EXPOSURE;

D O I：

暂无

中图分类号：

O646 [电化学、电解、磁化学];

学科分类号：

081704 ;

摘要：

The corrosion morphology of Q235 steel in simulated atmospheric environment was obtained using the established image acquisition system which can be used in the field. In order to obtain the detailed information of the images, wavelet packet decomposition-based image analysis method was applied to decompose the improved images and energies of sub-images (according to the Shannon entropy standard to choose the optimal sub-images with high regularity) were extracted as characteristic information. The results showed that it is the change of the energies of sub-images that can make a qualitative analysis of the corrosion degree of Q235 steel specimens. The relationship between the feature value and corrosion weight loss of samples was evaluated by regression analysis. By using the equation given by the regression analysis, the corrosion degree of Q235 steel specimens can be quantitatively analyzed. The proposed method can be used to predict the atmospheric corrosion of steel.

引用

页码：9202 / 9212

页数：11

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