On Noise Prediction in Maps Obtained With Global DIC

  • B. Blaysat
  • M. Grédiac
  • F. Sur
Conference paper
Part of the Conference Proceedings of the Society for Experimental Mechanics Series book series (CPSEMS)


A predictive formula giving the measurement resolution in displacement maps obtained using Digital Image Correlation was proposed some years ago in the literature. The objective of this paper is to revisit this formula and to propose a more general one which takes into account the influence of subpixel interpolation for the displacement. Moreover, a noiseless DIC tangent operator is defined to also minimizes noise propagation from images to displacement maps. Simulated data enable us to assess the improvement brought about by this approach. The experimental validation is then carried out by assessing the noise in displacement maps deduced from a stack of images corrupted by noise. It is shown that specific image pre-processing tools are required to correctly predict the displacement resolution. This image pre-processing step is necessary to correctly account for the fact that noise in images is signal-dependent, and to get rid of parasitic micro-movements between camera and specimen that were experimentally observed and which corrupt noise estimation. Obtained results are analyzed and discussed.


Digital image correlation Displacement Full-field measurement Metrological performance Resolution 


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Copyright information

© The Society for Experimental Mechanics, Inc. 2016

Authors and Affiliations

  • B. Blaysat
    • 1
  • M. Grédiac
    • 1
  • F. Sur
    • 2
    • 3
  1. 1.Clermont Université, Université Blaise Pascal, Institut Pascal, UMR CNRS 6602Clermont-FerrandFrance
  2. 2.Laboratoire Lorrain de Recherche en Informatique et ses Applications, UMR CNRS 7503Vandoeuvre-lès-Nancy CedexFrance
  3. 3.Université de Lorraine, CNRS, INRIA Projet Magrit, Campus ScientifiqueVandoeuvre-lès-Nancy CedexFrance

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