Skip to main content
Log in

Comparison of Local and Global Approaches to Digital Image Correlation

  • Published:
Experimental Mechanics Aims and scope Submit manuscript

Abstract

Local and global approaches to digital image correlation are compared when the displacement interpolation is based upon bilinear shape functions (i.e., with four-node quadrilaterals). The resolution in terms of displacements and strains associated with both techniques are evaluated a priori and validated a posteriori by using series of images of real experiments. It is shown that global approaches generally out-perform a local approach.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17

Similar content being viewed by others

Notes

  1. The resolution of a measuring system is the ‘smallest change in a quantity being measured that causes a perceptible change in the corresponding indication’ [39].

References

  1. Sutton MA, McNeill SR, Helm JD, Chao YJ (2000) Advances in two-dimensional and three-dimensional computer vision. In: Rastogi PK (ed) Photomechanics. Topics in applied physics, vol 77. Springer, Berlin, pp 323–372

    Google Scholar 

  2. Sutton MA, Orteu J-J, Schreier H (2009) Image correlation for shape, motion and deformation measurements: basic concepts, theory and applications. Springer, New York

    Google Scholar 

  3. Hild F, Roux S (2012) Digital image correlation. In: Hack E, Rastogi P (eds) Optical methods for solid mechanics: a fullfield approach, 1st edn. Wiley-VCH Verlag GmbH & Co. KGaA

  4. Lucas BD, Kanade T (1981) An iterative image registration technique with an application to stereo vision. In: Proceedings 1981 DARPA imaging understanding workshop, pp 121–130

  5. Burt PJ, Yen C, Xu X (1982) Local correlation measures for motion analysis: a comparative study. In: Proceedings IEEE conf. on pattern recognition and image processing, pp 269–274

  6. Sutton MA, Wolters WJ, Peters WH, Ranson WF, McNeill SR (1983) Determination of displacements using an improved digital correlation method. Image Vis Comput 1(3):133–139

    Article  Google Scholar 

  7. Sutton MA, Cheng M, Peters WH, Chao YJ, McNeill SR (1986) Application of an optimized digital correlation method to planar deformation analysis. Image Vis Comput 4(3):143–150

    Article  Google Scholar 

  8. Barker DB, Fourney ME (1977) Measuring fluid velocities with speckle patterns. Opt Lett 1:135–137

    Article  Google Scholar 

  9. Dudderar TD, Simpkins PG (1977) Laser speckle photography in a fluid medium. Nature 270:45–47

    Article  Google Scholar 

  10. Grousson R, Mallick S (1977) Study of flow pattern in a fluid by scattered laser light. Appl Opt 16:2334–2336

    Article  Google Scholar 

  11. Adrian RJ (1984) Scattering particle characteristics and their effect on pulsed laser measurements of fluid flow: speckle velocimetry vs. particle image velocimetry. Appl Opt 23:1690–1691

    Article  Google Scholar 

  12. Pickering CJD, Halliwell NA (1984) Speckle laser in fluid flows: signal recovery with two-step processing. Appl Opt 23:1128–1129

    Article  Google Scholar 

  13. Bergonnier S, Hild F, Roux S (2005) Digital image correlation used for mechanical tests on crimped glass wool samples. J Strain Anal 40(2):185–197

    Article  Google Scholar 

  14. Besnard G, Hild F, Roux S (2006) “Finite-element” displacement fields analysis from digital images: application to Portevin-Le Chatelier bands. Exp Mech 46:789–803

    Article  Google Scholar 

  15. Bornert M, Brémand F, Doumalin P, Dupré J-C, Fazzini M, Grédiac M, Hild F, Mistou S, Molimard J, Orteu J-J, Robert L, Surrel Y, Vacher P, Wattrisse B (2009) Assessment of digital image correlation measurement errors: methodology and results. Exp Mech 49(3):353–370

    Article  Google Scholar 

  16. Wang YQ, Sutton MA, Bruck HA, Schreier HW (2009) Quantitative error assessment in pattern matching: effects of intensity pattern noise, interpolation, strain and image contrast on motion measurements. Strain 45:160–178

    Article  Google Scholar 

  17. Schreier HW, Braasch JR, Sutton MA (2000) Systematic errors in digital image correlation caused by intensity interpolation. Opt Eng 39(11):2915–2921

    Article  Google Scholar 

  18. Chen DJ, Chiang FP, Tan YS, Don HS (1993) Digital speckle-displacement measurement using a complex spectrum method. Appl Opt 32:1839–1849

    Article  Google Scholar 

  19. Berthaud Y, Scholz J, Thesing J (1996) Méthodes optiques et acoustiques de mesures des caractéristiques mécaniques. In: Proceedings colloque national MECAMAT “mécanismes et mécanique des grandes déformations”, pp 77–80

  20. Chiang FP, Wang Q, Lehman F (1997) New developments in full-field strain measurements using speckles. In: Non-traditional methods of sensing stress, strain and damage in materials and structures, STP 1318. ASTM, Philadelphia, USA, pp 156–169

    Chapter  Google Scholar 

  21. Vacher P, Dumoulin S, Morestin F, Mguil-Touchal S (1999) Bidimensional strain measurement using digital images. Proc Inst Mech Eng, C, J Mech Eng Sci 213(8):811–817

    Article  Google Scholar 

  22. Zienkievicz OC, Taylor RL (1989) The finite element method, 4th ed. McGraw-Hill, London, UK

    Google Scholar 

  23. Horn BKP, Schunck BG (1981) Determining optical flow. Artif Intell 17:185–203

    Article  Google Scholar 

  24. Mitiche A, Bouthemy P (1996) Computation and analysis of image motion: a synopsis of current problems and methods. Int J Comput Vision 19:29–55

    Article  Google Scholar 

  25. Black M (1992) Robust incremental optical flow. PhD dissertation, Yale University

  26. Odobez J-M, Bouthemy P (1995) Robust multiresolution estimation of parametric motion models. J Vis Commun Image Represent 6:348–365

    Article  Google Scholar 

  27. Roux S, Hild F, Berthaud Y (2002) Correlation image velocimetry: a spectral approach. Appl Opt 41(1):108–115

    Article  Google Scholar 

  28. Wagne B, Roux S, Hild F (2002) Spectral approach to displacement evaluation from image analysis. Eur Phys J, Appl Phys 17:247–252

    Article  Google Scholar 

  29. Cheng P, Sutton MA, Schreier HW, McNeill SR (2002) Full-field speckle pattern image correlation with B-spline deformation function. Exp Mech 42(3):344–352

    Article  Google Scholar 

  30. Hild F, Roux S, Gras R, Guerrero N, Marante ME, Flórez-López J (2009) Displacement measurement technique for beam kinematics. Opt Lasers Eng 47:495–503

    Article  Google Scholar 

  31. Hild F, Roux S (2006) Digital image correlation: from measurement to identification of elastic properties–a review. Strain 42:69–80

    Article  Google Scholar 

  32. Roux S, Hild F (2006) Stress intensity factor measurements from digital image correlation: post-processing and integrated approaches. Int J Fract 140(1–4):141–157

    Article  MATH  Google Scholar 

  33. Leclerc H, Périé J-N, Roux S, Hild F (2009) Integrated digital image correlation for the identification of mechanical properties. In: Gagalowicz A, Philips W (eds) MIRAGE 2009. LNCS 5496. Springer, Berlin, pp 161–171

    Google Scholar 

  34. Réthoré J, Roux S, Hild F (2009) An extended and integrated digital image correlation technique applied to the analysis fractured samples. Eur J Comput Mech 18:285–306.

    Google Scholar 

  35. Simoncelli EP (1999) Bayesian multi-scale differential optical flow. In: Jähne B, Haussecker H, Geissler P (eds) Handbook of computer vision and applications, vol 2. Academic Press, pp 297–422

  36. Broggiato GB (2004) Adaptive image correlation technique for full-field strain measurement. In: Proceedings 12th int. conf. exp. mech., pp 420–421

  37. Sun Y, Pang J, Wong C, Su F (2005) Finite-element formulation for a digital image correlation method. Appl Opt 44(34):7357–7363

    Article  Google Scholar 

  38. Besnard G, Lagrange J-M, Hild F, Roux S, Voltz C (2010) Characterization of necking phenomena in high speed experiments by using a single camera. EURASIP J Im Video Proc 2010(215956):15pp

  39. ISO/IEC guide 99-12:2007 (2007) International vocabulary of metrology - basic and general concepts and associated terms, VIM. International Organization for Standardization, Geneva, Switzerland

    Google Scholar 

  40. Réthoré J, Roux S, Hild F (2008) Noise-robust stress intensity factor determination from kinematic field measurements. Eng Fract Mech 75(13):3763–3781

    Article  Google Scholar 

  41. Réthoré J, Roux S, Hild F (2011) Optimal and noise-robust extraction of fracture mechanics parameters from kinematic measurements. Eng Fract Mech 78(9)1827–1845

    Article  Google Scholar 

  42. Claire D, Hild F, Roux S (2004) A finite element formulation to identify damage fields: the equilibrium gap method. Int J Numer Methods Eng 61(2):189–208

    Article  MATH  Google Scholar 

  43. Roux S, Hild F (2008) Digital image mechanical identification (DIMI). Exp Mech 48(4):495–508

    Article  Google Scholar 

  44. 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(103903)

  45. Djaziri S, Renault P-O, 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 Crystallogr 44:1071–1079

    Article  Google Scholar 

  46. Leclerc H, Périé J-N, Hild F, Roux S (2012) Digital volume correlation: what are the limits to the spatial resolution? (submitted for publication)

  47. Roux S, Hild F, Viot P, Bernard D (2008) Three dimensional image correlation from X-Ray computed tomography of solid foam. Comp, Part A 39(8):1253–1265

    Article  Google Scholar 

Download references

Acknowledgements

The authors wish to thank the members of the Micromechanical Testing Laboratory at EDF R & D Les Renardières for kindly providing the two SEM pictures analyzed herein.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to F. Hild.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hild, F., Roux, S. Comparison of Local and Global Approaches to Digital Image Correlation. Exp Mech 52, 1503–1519 (2012). https://doi.org/10.1007/s11340-012-9603-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11340-012-9603-7

Keywords

Navigation