Magnetic Leakage Flaw Detection Techniques Based on Mathematical Morphology
摘 要
基于钢板对接焊缝缺陷的漏磁检测技术,提出了将数学形态学方法应用到钢板对接焊缝缺陷漏磁检测信号处理中。研究了一种焊缝缺陷漏磁检测信号处理的新方法。通过对信号进行数值处理得到灰度图形。图像锐化处理可获得较为清晰的图像。图像二值化处理可为后续处理做准备。最后通过图像细化以及对细化后的图像进行形态学处理,可以基本得到焊缝缺陷的特征。
Abstract
Based on the magnetic flux leakage detection technology for steel plate butt weld defect, mathematical morphology method is applied to the signal processing. A new method for the weld defect leakage detection signal processing was studied. Through the numerical signal processing, the gray graphics were obtained, and then a clear image was gotten by image sharpening. The basic characteristics of weld defect were finally obtained by image binarization for subsequent processing preparation, image thinning and the image morphology processing after the thinning.
中图分类号 TG115.28
所属栏目 试验研究
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收稿日期 2013/3/13
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备注戴光(1954-),男,博士,教授,系主任,主要从事化工过程机械无损检测教学和科研工作。
引用该论文: DAI Guang,CHEN Zhi-Hua,CUI Wei,YANG Zhi-Jun. Magnetic Leakage Flaw Detection Techniques Based on Mathematical Morphology[J]. Nondestructive Testing, 2013, 35(10): 3~5
戴光,陈志华,崔巍,杨志军. 基于数学形态学的焊缝缺陷漏磁检测技术[J]. 无损检测, 2013, 35(10): 3~5
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参考文献
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【3】蔡国瑞,都东,田原,等.基于信息融合优化搜索的X射线焊缝缺陷检测[J].焊接学报,2007,28(2):30-32.
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