图像灰度与腐蚀特征的相关性研究

中国腐蚀与防护学报

2006, Vol. 26

Issue (6): 321-324

研究报告

本期目录 | 过刊浏览

图像灰度与腐蚀特征的相关性研究

许述剑;翁永基

中国石油大学

RELATIVITY BETWEEN IMAGE GRAYSCALE AND CORROSION CHARACTERISTICS

;

中国石油大学

全文: PDF(270 KB)

摘要: 根据实验数据研究腐蚀图象灰度和实际腐蚀深度的相关性,发现对孤立、规则圆孔的图像，经双向扫描校准后，其局部平均灰度和孔深存在很好线形关系，相关系数达0.95；对实际腐蚀图像，其局部平均灰度和相应位置的深度仍在0.95置信度下线性相关。但复杂深坑可能导致灰度值偏高（亮），而且，坑深和灰度统计分布相关曲线表现为斜率不同（以坑深0.045cm为转折点）的两段直线，综上所述，基于图像灰度的腐蚀形貌诊断更适合腐蚀发展初期。此外，图像灰度和实际腐蚀参数的相关性研究表明，图像灰度极差是平均腐蚀速度及最大坑深的良好表征，它们在0.95置信度下线性相关。

关键词 ：腐蚀试验, 图象灰度, 腐蚀深度, 相关性分析, 腐

Abstract：The relationship between corrosion image grayscale and pit depth was studied based on experimental data. A good linear relationship was observed and their relatioship coefficient was high up to 0.95 for corrected image of isolated and regulation holes by double-direction scanning. For actual corrosion images, the relationship was still linear under confidence leel 0.95. however, the complex deep pits might cause error and corresponding image grayscale became higher in values(brighter). Moreover the correlation curve of statistical distribution between gray and pit depth showed two lines with different slopes, which turning point was 0.045cm. Therefore it could be decided that corrosion morphology diagnoses based on image grayscale were more suitable for early corrosion stages. Inaddition, the relationship between image grayscale and corrosion parameters was also investigated and the results showed that image grayscale range was good characterization for average corrosion rate and max. pit depth, that they had good linear relationship under confidence level 0.95.

Key words： corrosion test image grayscale pit depth relativity analysis corrosion rate

收稿日期: 2005-07-11

ZTFLH:

TG172

通讯作者: 许述剑 E-mail: wengyj@bjpeu.edu.cn

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引用本文:

许述剑; 翁永基 . 图像灰度与腐蚀特征的相关性研究[J]. 中国腐蚀与防护学报, 2006, 26(6): 321-324 .
. RELATIVITY BETWEEN IMAGE GRAYSCALE AND CORROSION CHARACTERISTICS. J Chin Soc Corr Pro, 2006, 26(6): 321-324 .

链接本文:

https://www.jcscp.org/CN/ 或 https://www.jcscp.org/CN/Y2006/V26/I6/321

[1]Xie S H,Zhou Z Y.An application of pattern recognition in thestudy of atmospheric diffusion[J].Acta Scientiarum Naturalium,U-niversitatis Pekinensis,1994,30(1):30-38(谢淑环,周芝英.图像识别在大气扩散研究中的应用[J].北京大学学报,1994,30(1):30-38)
[2]Duan S D,Lin Q,Wang J F,et al.The characterization for geomet-ric texture and catalytic properties of V-series catalysts by usingfractal dimension[J].Chemical Journal of Chinese Universities,1992,13(10):1299-1301(段述铎,林强,王积分等.分数维数对V型催化剂表面纹理及催化性质表征[J].高等化学学报,1992,13(10):1299-1301)
[3]Champion F A.Corrosion Testing Procedure 2nded[M].London:Chapman and Hall,1964
[4]Song S Z,Wang S Y,Gao Z M,et al.Atmospheric forepart corro-sion behaviors of nonferrous metal based on image recognition[J].Acta Metall.Sin.,2002,38(8):893-896(宋诗哲,王守琰,高志明等.图像识别技术研究有色金属大气腐蚀早期行为[J].金属学报,2002,38(8):893-896)
[5]Kong D Y,Wang S Y,Song S Z.Study on relativity between corro-sion images and data of metallic samples in seawater[J].J.Chin.Soc.Corros.Prot.,2001,21(6):352-356(孔德英,王守琰,宋诗哲.金属材料腐蚀形貌图像与实海挂片数据的相关性研究[J].中国腐蚀与防护学报,2001,21(6):352-356)
[6]Song S Z,Wang G Y,Wang S Y.Proceeding of research on nationalnatural environment corrosion data processing[J].J.Chin.Soc.Cor-ros.Prot.,2003,23(1):56-64(宋诗哲,王光雍,王守琰.我国材料自然环境腐蚀数据处理研究进展[J].中国腐蚀与防护学报,2003,23(1):56-64)
[7]Wang S Y,Song S Z.Corrosion morphology diagnosing system ofmetallic materials in seawater based on fractal[J].Acta Metall.Sin.,2004,40(1):94-98(王守琰,宋诗哲.基于分形的金属材料海水腐蚀形貌图像分析诊断系统[J].金属学报,2004,40(1):94-98)
[8]Wang S Y,Song S Z.Predictive model based on wavelet transfor-mation and artificial neural network for zinc atmospheric corrosion[J].J.Chin.Soc.Corros.Prot.,2005,25(5):257-261(王守琰,宋诗哲.小波分析和神经网络研究纯锌大气腐蚀[J].中国腐蚀与防护学报,2005,25(5):257-261)
[9]Wang S Y,Song S Z.Consultation and forecast diagnosis system ofmetal in marine environment[J].J.Chin.Soc.Corros.Prot.,2004,24(2):108-111(王守琰,宋诗哲.金属材料海洋环境腐蚀数据咨询管理及预测诊断系统[J].中国腐蚀与防护学报,2004,24(2):108-111)
[10]Weng Y J.Survey of material’s corrosion in tarim region and cor-rosion models for steel-soil corrosion[J].Corros.Prot.,2000,21(8):347-350(翁永基.塔里木地区材料腐蚀和钢铁-土壤腐蚀模型[J].腐蚀与防护,2000,21(8):347-350)

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