Removing Quasi-Periodic Noise in Strain Maps by Filtering in the Fourier Domain

被引：0
|
作者：
M. Grédiac
F. Sur
B. Blaysat
机构：
[1] Clermont Université,Laboratoire Lorrain de Recherche en Informatique et ses Applications
[2] Université Blaise Pascal,undefined
[3] Institut Pascal,undefined
[4] Université de Lorraine,undefined
来源：
Experimental Techniques | 2016年 / 40卷
关键词：
Fourier Transform; Grid Method; Image Processing; Strain Measurement; Strain Map Restoration;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Quasi-periodic noise due to various reasons often corrupts strainmaps obtained with full-field measuring systems. The aim of this didactic paper is to show how to remove this noise by changing some Fourier coefficients involved in the two-dimensional (2D) Fourier transform of these strain maps. The basics of the 2D Fourier transform of images, which is a common tool in image processing but that is only scarcely employed in the experimental mechanics community, are first briefly recalled. Several procedures employed for removing undesirable frequencies in strain maps are then discussed. Three different examples illustrate the benefit of this approach.
引用
收藏
页码：959 / 971
页数：12
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