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图像识别技术研究有色金属大气腐蚀早期行为
引用本文:宋诗哲,王守琰,高志明,张晓云,马颐军,李家柱. 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
作者姓名:宋诗哲  王守琰  高志明  张晓云  马颐军  李家柱
作者单位:1. 天津大学材料学院,天津,300072;中国科学院金属研究所金属腐蚀与防护国家重点实验室,沈阳,110016
2. 天津大学材料学院,天津,300072
3. 北京航空材料研究院,北京,100095
基金项目:国家自然科学基金重大项目 59899144-3,国家重点基础研究发展规划项目 G19990650资助
摘    要:提出了基于图像识别技术研究有色金属大气腐蚀早期行为的方法,用扫描仪获取试样的大气腐蚀形貌图像,采用连续小波变换对图像进行分解并提取能量值作为特征信息,研究了图像特征值和试样腐蚀失重数据之间的相关性,运用该方法分析了北京郊区纯锌的大气腐蚀试样,结果表明,该方法可以对纯锌的大气腐蚀早期行为进行判断和预测。

关 键 词:有色金属 大气腐蚀 图像识别 小波变换 腐蚀预测
文章编号:0412-1961(2002)08-0893-04
修稿时间:2001-12-04

ATMOSPHERIC FOREPART CORROSION BEHAV IORS OF NONFERROUS METAL BASED ON IMAGE RECOGNITION
SONG Shizhe,),WANG Shouyan),GAO Zhiming),ZHANG Xiaoyun),MA Yijun),LI Jiazhu)) School of Materials,Tianjin University,Tianjin ) State Key Laboratory for Corrosion and Protection. ATMOSPHERIC FOREPART CORROSION BEHAV IORS OF NONFERROUS METAL BASED ON IMAGE RECOGNITION[J]. Acta Metallurgica Sinica, 2002, 38(8): 893-896
Authors:SONG Shizhe  )  WANG Shouyan)  GAO Zhiming)  ZHANG Xiaoyun)  MA Yijun)  LI Jiazhu)) School of Materials  Tianjin University  Tianjin ) State Key Laboratory for Corrosion  Protection
Affiliation:SONG Shizhe1,2),WANG Shouyan1),GAO Zhiming1),ZHANG Xiaoyun3),MA Yijun3),LI Jiazhu3)1) School of Materials,Tianjin University,Tianjin 3000722) State Key Laboratory for Corrosion and Protection,Institute of Metal Research,The Chinese Academy of Sci
Abstract:An analyzing method based on image recognition is set up to study the atmospheric forepart corrosion behaviors of nonferrous metal: first, scanner is used to acquire corrosion images of nonferrous metal in atmosphere environment; second, multi-resolution continuous wavelet transformation is applied to decompose the images and energies of sub-images are extracted as character information; finally, the relationship between the characters and corrosion data of samples is studied by peculiar way, such as artificial neutral network, regression model, etc. Using the established method, the pure zinc samples in Beijing atmosphere are examined and a model, which has a high precision, 0.98 and can predict the corrosion weight lose data of samples is erected. Furthermore, another method that can be used to forecast the forepart corrosion degree of pure zinc in atmosphere was primary studied, too.
Keywords:atmospheric corrosion   image recognition   wavelet transformation   corrosion forecast
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