Skip to main content
Log in

Experimental and Numerical Methods for Exact Subpixel Shifting

  • Published:
Experimental Mechanics Aims and scope Submit manuscript

Abstract

An approach to quantifying the errors in digital image correlation (DIC) is presented using experimentally produced images. The challenge arises in creating exact subpixel shifted images in an experiment. This was accomplished via numerical binning of an ultra-high resolution image. The shifted images are then used for a preliminary analysis of 2D correlation software uncertainty and investigation of speckle pattern quality. Because it is often necessary to use numerically shifted images, for uncertainty quantification for instance, the optimum method of Fourier shifting is also presented.

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
Fig. 18

Similar content being viewed by others

References

  1. 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 

  2. Schreier HW, Sutton MA (2002) Systematic errors in digital image correlation due to undermatched subset shape functions. Exp Mech 42(3):303–310

    Article  Google Scholar 

  3. Cheng P et al (2002) Full-field speckle pattern image correlation with B-spline deformation function. Exp Mech 42(3):344–352

    Article  Google Scholar 

  4. Reu PL et al (2009) Uncertainty quantification for digital image correlation. In Society for Experimental Mechanics. SEM, Albuquerque

    Google Scholar 

  5. Pan B et al (2006) Performance of sub-pixel registration algorithms in digital image correlation. Meas Sci Technol 17(6):1615–1621

    Article  Google Scholar 

  6. Orteu J-J et al. (2006) A speckle texture image generator. SPIE

  7. Lava P et al (2009) Assessment of measuring errors in DIC using deformation fields generated by plastic FEA. Opt Lasers Eng 47(7–8):747–753

    Article  Google Scholar 

  8. Wang YQ et al (2009) quantitative error assessment in pattern matching: effects of intensity pattern noise, interpolation, strain and image contrast on motion measurements. Strain 45(2):160–178

    Article  Google Scholar 

  9. Wang ZY et al (2007) Statistical analysis of the effect of intensity pattern noise on the displacement measurement precision of digital image correlation using self-correlated images. Exp Mech 47(5):701–707

    Article  Google Scholar 

  10. Reu PL (2010) Experimental validation of 2D uncertainty quantification for digital image correlation, in International Conference on Experimental Mechanics 14, F. Bremand, Editor. Poitiers, France

  11. Kodak (2007) Kodak KAI-16000 image sensor—Device performance specifications. Kodak. p 10

  12. Pan B et al (2008) Study on subset size selection in digital image correlation for speckle patterns. Opt Express 16(10):7037–7048

    Article  Google Scholar 

  13. Stearns SD (2003) Digital signal processing with examples in MATLAB. CRC, Boca Raton

    MATH  Google Scholar 

  14. Hild F et al (2002) Multiscale displacement field measurements of compressed mineral-wool samples by digital image correlation. Appl Opt 41(32):6815–6828

    Article  MathSciNet  Google Scholar 

  15. Instruments N. Available from: http://zone.ni.com/reference/en-XX/help/371361F-01/lvanls/cosine_tapered_window/#details

  16. Sutton DA, Orteu JJ, Schreier HW (2009) Image correlation for shape, motion and deformation measurements. Springer, New York

    Google Scholar 

Download references

Acknowledgements

I would like to thank Prof. Mike Sutton and Dr. Hubert Schreier for many fruitful discussions on these results and their interpretation. I would also like to thank my reviewers David Epp and Timothy Miller for the valuable comments. This acknowledgement does not however, imply their complete agreement or endorsement of the interpretation of the results.

Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy under contract DE-AC04-94AL85000.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to P. L. Reu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Reu, P.L. Experimental and Numerical Methods for Exact Subpixel Shifting. Exp Mech 51, 443–452 (2011). https://doi.org/10.1007/s11340-010-9417-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11340-010-9417-4

Keywords

Navigation