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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: James C. Wyant
  • Vol. 46, Iss. 7 — Mar. 1, 2007
  • pp: 1050–1056

Global and local coordinates in digital image correlation

Wei Sun, Chenggen Quan, Cho Jui Tay, and Xiaoyuan He  »View Author Affiliations


Applied Optics, Vol. 46, Issue 7, pp. 1050-1056 (2007)
http://dx.doi.org/10.1364/AO.46.001050


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Abstract

Digital image correlation (DIC) is commonly used to measure specimen displacements by correlating an image of a specimen in an undeformed or reference configuration and a second image under load. To establish the correlation between the images, numerical techniques are used to locate an initially square image subset in a reference image. In thisprocess, choosing appropriate coordinates is of fundamental importance to ensure accurate results. Both global and local coordinates can be used in shape functions. However, large rigid body rotations and deformations are accurately obtained by using global rather than local shape functions. In addition, points located after displacement may not be at an integer pixel distance from the original position. Hence subpixel displacement estimation methods such as interpolation or fitting of correlation coefficients are essential. A solution using the least-squares method is employed by choosing proper coordinates, and the feasibility of using local coordinates is demonstrated and validated with a mathematical model. Both simulated and experimental results show that the proper choice of coordinates does ensure the reliability and improve the accuracy of measurements in DIC.

© 2007 Optical Society of America

OCIS Codes
(100.2000) Image processing : Digital image processing
(120.2830) Instrumentation, measurement, and metrology : Height measurements
(120.3940) Instrumentation, measurement, and metrology : Metrology
(120.6650) Instrumentation, measurement, and metrology : Surface measurements, figure

History
Original Manuscript: September 5, 2006
Manuscript Accepted: October 15, 2006
Published: February 12, 2007

Citation
Wei Sun, Chenggen Quan, Cho Jui Tay, and Xiaoyuan He, "Global and local coordinates in digital image correlation," Appl. Opt. 46, 1050-1056 (2007)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-46-7-1050


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References

  1. T. C. Chu, W. F. Ranson, and M. A. Sutton, "Applications of digital-image-correlation techniques to experimental mechanics," Exp. Mech. 25, 232-244 (1985). [CrossRef]
  2. H. A. Bruck, S. R. McNeill, M. A. Sutton, and W. H. Peters, "Digital-image-correlation using Newton-Raphson method for partial differential correction," Exp. Mech. 29, 261-267 (1989). [CrossRef]
  3. H. W. Schreier, J. R. Braasch, and M. A. Sutton, "Systematic errors in digital image correlation caused by intensity interpolation," Opt. Eng. 39, 2915-2921 (2000). [CrossRef]
  4. H. W. Schreier and M. A. Sutton, "Systematic errors in digital image correlation due to undermatched subset shape functions," Exp. Mech. 42, 303-310 (2002). [CrossRef]
  5. P. Zhou and K. E. Goodson, "Subpixel displacement and deformation gradient measurement using digital image/speckle correlation (DISC)," Opt. Eng. 40, 1613-1620 (2001). [CrossRef]
  6. H. Lu and P. D. Cary, "Deformation measurements by digital image correlation: implementation of a second-order displacement gradient," Exp. Mech. 40, 393-400 (2000). [CrossRef]
  7. Y. X. Sun, John H. L. Pang, C. K. Wong, and F. Su, "Finite element formulation for a digital image correlation method," Appl. Opt. 44, 7357-7363 (2005). [CrossRef] [PubMed]
  8. R. T. Fenner, Engineering Elasticity: Application of Numerical and Analytical Techniques (Halsted, 1986).
  9. P. Hung and A. S. Voloshin, "In-plane strain measurement by digital image correlation," J. Braz. Soc. Mech. Sci. Eng. 25, 215-221 (2003).
  10. G. H. Golub and C. F. Van Loan, Matrix Computations, 2nd ed. (Johns Hopkins U. Press, 1989).

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