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

Experimental Techniques volume 40, pages 959–971 (2016)Cite this article

Abstract

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.

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Authors and Affiliations

  1. Clermont Université,Université Blaise Pascal, Institut Pascal, UMR CNRS 6602 BP 10448, 63000, Clermont-Ferrand, France

    M. Grédiac & B. Blaysat

  2. Laboratoire Lorrain de Recherche en Informatique et ses Applications, Université de Lorraine, CNRS, INRIA projet Magrit, UMR CNRS 7503, Vandoeuvre-lès-Nancy Cedex, FRANCE

    F. Sur

Authors
  1. M. Grédiac
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  2. F. Sur
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  3. B. Blaysat
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Correspondence to M. Grédiac.

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Grédiac, M., Sur, F. & Blaysat, B. Removing Quasi-Periodic Noise in Strain Maps by Filtering in the Fourier Domain. Exp Tech 40, 959–971 (2016). https://doi.org/10.1007/s40799-016-0100-2

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  • DOI: https://doi.org/10.1007/s40799-016-0100-2

Keywords

  • Fourier Transform
  • Grid Method
  • Image Processing
  • Strain Measurement
  • Strain Map Restoration

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