On the Resolution of Local and Global DIC Approaches

  • F. HildEmail author
  • S. Roux
Conference paper
Part of the Conference Proceedings of the Society for Experimental Mechanics Series book series (CPSEMS)


Local and global approaches to digital image correlation are compared when the displacement interpolation is based upon bilinear shape functions (i.e., with four-noded quadrilaterals). The resolution in terms of displacements and strains provided by both techniques is evaluated by using a series of images from a real experiment. It is shown that global approaches out-perform a local approach. For the global approach, mesh adaption is proposed to get a quasi-uniform uncertainty distribution over the whole region of interest.


  1. 1.
    Sutton MA, Orteu JJ, Schreier H (2009) Image correlation for shape, motion and deformation measurements: basic concepts, theory and applications. Springer, New YorkGoogle Scholar
  2. 2.
    Lucas BD, Kanade T (1981) An iterative image registration technique with an application to stereo vision. In: Proceedings of the 7th International Joint Conference on Artificial Intelligence. Vancouver, BC (Canada), pp 674-679Google Scholar
  3. 3.
    Burt PJ, Yen C, Xu X (1982) Local correlation measures for motion analysis: a comparative study. In: Proceedings of the IEEE conference on pattern recognition and image processing, Las Vegas, NV (USA) pp 269–274Google Scholar
  4. 4.
    Sutton MA, Wolters WJ, Peters WH, Ranson WF, McNeill SR (1983) Determination of displacements using an improved digital correlation method. Im Vis Comp 1(3):133–139CrossRefGoogle Scholar
  5. 5.
    Broggiato GB (2004) Adaptive image correlation technique for full-field strain measurement. In: Proceedings of the 12th international conference on experimental mechanics, Bari (Italy)Google Scholar
  6. 6.
    Besnard G, Hild F, Roux S (2006) ‘Finite-element’ displacement fields analysis from digital images: application to Portevin-Le Chatelier bands. Exp Mech 46:789–803CrossRefGoogle Scholar
  7. 7.
    Sun Y, Pang J, Wong C, Su F (2005) Finite-element formulation for a digital image correlation method. Appl Opt 44(34):7357–7363CrossRefGoogle Scholar
  8. 8.
    Geandier G, Thiaudière D, Randriamazaoro RN, Chiron R, Djaziri S, Lamongie B, Diot Y, Le Bourhis E, Renault PO, Goudeau P, Bouaffad A, Castelnau O, Faurie D, Hild F (2010) Development of a synchrotron biaxial tensile device for in-situ characterization of thin films mechanical response. Rev Sci Instrum 81:103903CrossRefGoogle Scholar
  9. 9.
    Djaziri S, Renault PO, Hild F, Le Bourhis E, Goudeau P, Thiaudière D, Faurie D (2011) Combined synchrotron X-ray and image-correlation analyses of biaxially deformed W/Cu nanocomposite thin films on Kapton. J Appl Cryst 44:1071–1079CrossRefGoogle Scholar
  10. 10.
    Hild F, Roux S (2012) Comparison of local and global approaches to digital image correlation. Exp Mech. doi  10.1007/s11340-012-9603-7 (in press)

Copyright information

© The Society for Experimental Mechanics, Inc. 2013

Authors and Affiliations

  1. 1.LMT-Cachan, ENS Cachan/CNRS/Université Paris 6/PRES UniverSud ParisCachan CedexFrance

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