复合材料剪切散斑检测图像的小波降噪技术研究
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。
复合材料
小波变换
降噪
Shearography
Composites
Wavelet transform
De-noising
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.
中图分类号 TG115.28
所属栏目 科研成果与学术交流
基金项目 总装备部预研课题(41327030101)
收稿日期 2007/2/8
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备注张 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。
引用该论文: ZHANG Jian,GENG Rong-Sheng. Studies on Wavelet De-noising of Shearography Image for Airplane Composites[J]. Nondestructive Testing, 2008, 30(2): 94～96
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
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参考文献
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【6】Donoho D L, Johnstone I M. Ideal spatial adaptation via wavelet shrinkage[J]. Biometrika,1994,81(3):425-455.
【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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