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复合材料剪切散斑检测图像的小波降噪技术研究

张 坚, 耿荣生

张 坚, 耿荣生. 复合材料剪切散斑检测图像的小波降噪技术研究[J]. 无损检测, 2008, 30(2): 94-96.
引用本文: 张 坚, 耿荣生. 复合材料剪切散斑检测图像的小波降噪技术研究[J]. 无损检测, 2008, 30(2): 94-96.
ZHANG Jian, GENG Rong-Sheng. Studies on Wavelet De-noising of Shearography Image for Airplane Composites[J]. Nondestructive Testing, 2008, 30(2): 94-96.
Citation: ZHANG Jian, GENG Rong-Sheng. Studies on Wavelet De-noising of Shearography Image for Airplane Composites[J]. Nondestructive Testing, 2008, 30(2): 94-96.

复合材料剪切散斑检测图像的小波降噪技术研究

基金项目: 

总装备部预研课题(41327030101)

详细信息
    作者简介:

    张 坚(1972-),男,博士研究生,讲师,研究方向为复合材料激光检测技术。

  • 中图分类号: TG115.28

Studies on Wavelet De-noising of Shearography Image for Airplane Composites

  • 摘要: 电子剪切散斑检测技术非常适宜复合材料的无损检测。散斑图像往往含有较大的噪声,如何对散斑图像进行降噪处理是一个非常重要的问题。小波变换是变分辨率的分析方法,用小波降噪技术处理散斑图像可以有效地降低噪声,同时能较好地保存图像细节。
    Abstract: The shearography inspection technology is extremely fitting for the nondestructive testing of composites. The testing image of shearography includes much speckle noise, so de-noising is a very important task. The wavelet transform method is multi-resolution analysis, it can reduce noise, and at the same time, can keep the details of the image. The wavelet de-noising technique was studied. Experimental results were satisfactory.
  • [1] Parker S J, Salter P L. A novel shearography system for aerospace non-destructive testing[P]. Proc Instn Mech Engrs,1999,213.
    [2] Vidakovic B, Lozoya C B. On time-dependent wavelet denoising[J]. IEEE Trans Signal Processing,1998,46(9):2549-2551.
    [3] Daubechies I. The wavelet transform: time-frequency localization and signal analysis[J]. IEEE Trans Theory,2001,26(9):961-1005.
    [4] Donoho D L. Denoising by soft-thresholding[J]. IEEE Trans on Information Technology,1995,41(3):613.
    [5] 谢杰成,张大力,徐文立.小波图像降噪综述[J].中国图像图形学报,2002,7(3):209-217.
    [6] Donoho D L, Johnstone I M. Ideal spatial adaptation via wavelet shrinkage[J]. Biometrika,1994,81(3):425-455.
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出版历程
  • 收稿日期:  2007-02-07
  • 刊出日期:  2008-02-09

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