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基于高分辨率和大视场图像识别的大规模腐蚀坑多尺度统计分析

Multiscale Statistical Analysis of Massive Corrosion Pits Based on Image Recognition of High Resolution and Large Field-of-View Images.

作者信息

Wang Yafei, Tian Zhiqiang, Hu Songyan

机构信息

School of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an 710049, China.

出版信息

Materials (Basel). 2020 Oct 22;13(21):4695. doi: 10.3390/ma13214695.

DOI:10.3390/ma13214695
PMID:33105573
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7659981/
Abstract

In the present study, a new multiscale method is proposed for the statistical analysis of spatial distribution of massive corrosion pits, based on the image recognition of high resolution and large field-of-view (montage) optical images. Pitting corrosion for high strength pipeline steel exposed to sodium chloride solution was observed using an optical microscope. Montage images of the corrosion pits were obtained, with a single image containing a large number of corrosion pits. The diameters and locations of all the pits were determined simultaneously using an image recognition algorithm, followed by statistical analysis of the two-dimensional spatial point pattern. The multiscale spatial distributions of pits were analyzed by dividing the montage image into a number of different windows. The results indicate the clear dependence of distribution features on the spatial scales. The proposed method can provide a better understanding of the pit growth from the perspective of multiscale spatial evolution.

摘要

在本研究中，基于高分辨率和大视场（拼接）光学图像的图像识别，提出了一种用于大规模腐蚀坑空间分布统计分析的新多尺度方法。使用光学显微镜观察了暴露于氯化钠溶液中的高强度管线钢的点蚀情况。获得了腐蚀坑的拼接图像，单个图像包含大量腐蚀坑。使用图像识别算法同时确定所有坑的直径和位置，然后对二维空间点模式进行统计分析。通过将拼接图像划分为多个不同的窗口来分析坑的多尺度空间分布。结果表明分布特征对空间尺度有明显的依赖性。所提出的方法可以从多尺度空间演化的角度更好地理解坑的生长情况。

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本文引用的文献

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The Corrosion Features of Q235B Steel under Immersion Test and Electrochemical Measurements in Desulfurization Solution.Q235B钢在脱硫溶液浸泡试验和电化学测量下的腐蚀特征
Materials (Basel). 2020 Aug 27;13(17):3783. doi: 10.3390/ma13173783.
2
Statistical analysis of environmental consequences of hazardous liquid pipeline accidents.危险液体管道事故环境后果的统计分析
Heliyon. 2018 Nov 7;4(11):e00901. doi: 10.1016/j.heliyon.2018.e00901. eCollection 2018 Nov.
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On the use of Ripley's K-function and its derivatives to analyze domain size.
关于使用里普利K函数及其导数来分析域大小。
Biophys J. 2009 Aug 19;97(4):1095-103. doi: 10.1016/j.bpj.2009.05.039.