Studies on Wavelet De-noising of Shearography Image for Airplane Composites
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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.
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Keywords:
- Shearography /
- Composites /
- Wavelet transform /
- De-noising
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[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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