Abstract

In this article an analysis of two-dimensional (2D) digital image correlation (DIC) data captured over a long period of time is presented, where the case of a 2D DIC setup is not fixed in the same position between consecutive measurements. An implementation of the data merging procedure is described and a proof of concept is provided using example measurements for both: a numerical model and a physical model. An evaluation of the accuracy of the method and main sources of errors are also presented. The developed method can be used for long-term monitoring of different kinds of objects, which is particularly important for the use of DIC technique in application, e.g., building engineering, building control, or power engineering.

© 2012 Optical Society of America

PDF Article

References

  • View by:
  • |
  • |
  • |

  1. M. Sutton, J.-J. Orteau, and H. Schreier, Image Correlation for Shape, Motion and Deformation Measurements (Springer, 2009).
  2. B. Pan, “Recent progress in digital image correlation,” Exp. Mech. 51, 1223–1235 (2011).
    [CrossRef]
  3. T. Nam Nguyen, J. M. Huntley, R. L. Burguete, and C. Russel Coggrave, “Shape and displacement measurement of discontinuous surfaces by combining fringe projection and digital image correlation,” Opt. Eng. 50, 101505 (2011).
    [CrossRef]
  4. M. Malesa, M. Kujawinska, D. Szczepanek, A. Swiercz, and P. Kolakowski, “Monitoring of civil engineering structures using Digital Image Correlation technique,” in Proceedings of 14th International Conference on Experimental Mechanics (EPJ Web of Conferences, 2010), Vol. 6, p. 31014.
  5. A. Piekarczuk, M. Malesa, M. Kujawinska, and K. Malowany, “Application of hybrid FEM-DIC for assessment of low cost building structures,” Exp. Mech. 52, 1297–1311 (2012).
    [CrossRef]
  6. M. Malesa, K. Malowany, L. Tyminska-Widmer, E. Kwiatkowska, M. Kujawinska, B. Rouba, and P. Targowski, “Application of digital image correlation (DIC) for tracking of canvas painting deformations,” Proc. SPIE 8084, 80840L (2011).
    [CrossRef]
  7. J. M. Dulieu-Barton, D. Khennouf, A. R. Chambers, F. Lennard, and D. Eastop, “Long term condition monitoring of tapestries using image correlation,” in Proceedings of the SEM Annual Conference (SEM, 2010), Vol. 14, pp. 331–338.
  8. R. Jiang, D. V. Jauregui, and K. R. White, “Close-range photogrammetry applications in bridge measurement: literature review,” Meas. Sci. Technol. 41, 823–834 (2008).
    [CrossRef]
  9. W. Linder, Digital Photogrammetry: A Practical Course (Springer, 2009).
  10. G. Bradski, and A. Kaebler, Learning OpenCV: Computer Vision with the OpenCV Library (O’Reilly, 2008).
  11. R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision (Cambridge University, 2003).
  12. R. G. Keys, “Cubic convolution interpolation for digital image processing,” IEEE Trans. Acoust. Speech Signal Process. 291153–1160 (1981).
    [CrossRef]
  13. J.-Y. Bouguet, “Camera calibration toolbox for Matlab,” http://www.vision.caltech.edu/bouguetj/calib_doc .
  14. W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes: The Art of Scientific Computing, 3rd ed. (Cambridge University, 2007).
  15. M. A. Fischler, and R. C. Bolles, “Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,” Commun. ACM 24, 381–395 (1981).
    [CrossRef]
  16. Blender Foundation, http://www.blender.org/ .

2012

A. Piekarczuk, M. Malesa, M. Kujawinska, and K. Malowany, “Application of hybrid FEM-DIC for assessment of low cost building structures,” Exp. Mech. 52, 1297–1311 (2012).
[CrossRef]

2011

M. Malesa, K. Malowany, L. Tyminska-Widmer, E. Kwiatkowska, M. Kujawinska, B. Rouba, and P. Targowski, “Application of digital image correlation (DIC) for tracking of canvas painting deformations,” Proc. SPIE 8084, 80840L (2011).
[CrossRef]

B. Pan, “Recent progress in digital image correlation,” Exp. Mech. 51, 1223–1235 (2011).
[CrossRef]

T. Nam Nguyen, J. M. Huntley, R. L. Burguete, and C. Russel Coggrave, “Shape and displacement measurement of discontinuous surfaces by combining fringe projection and digital image correlation,” Opt. Eng. 50, 101505 (2011).
[CrossRef]

2008

R. Jiang, D. V. Jauregui, and K. R. White, “Close-range photogrammetry applications in bridge measurement: literature review,” Meas. Sci. Technol. 41, 823–834 (2008).
[CrossRef]

1981

R. G. Keys, “Cubic convolution interpolation for digital image processing,” IEEE Trans. Acoust. Speech Signal Process. 291153–1160 (1981).
[CrossRef]

M. A. Fischler, and R. C. Bolles, “Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,” Commun. ACM 24, 381–395 (1981).
[CrossRef]

Bolles, R. C.

M. A. Fischler, and R. C. Bolles, “Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,” Commun. ACM 24, 381–395 (1981).
[CrossRef]

Bradski, G.

G. Bradski, and A. Kaebler, Learning OpenCV: Computer Vision with the OpenCV Library (O’Reilly, 2008).

Burguete, R. L.

T. Nam Nguyen, J. M. Huntley, R. L. Burguete, and C. Russel Coggrave, “Shape and displacement measurement of discontinuous surfaces by combining fringe projection and digital image correlation,” Opt. Eng. 50, 101505 (2011).
[CrossRef]

Chambers, A. R.

J. M. Dulieu-Barton, D. Khennouf, A. R. Chambers, F. Lennard, and D. Eastop, “Long term condition monitoring of tapestries using image correlation,” in Proceedings of the SEM Annual Conference (SEM, 2010), Vol. 14, pp. 331–338.

Dulieu-Barton, J. M.

J. M. Dulieu-Barton, D. Khennouf, A. R. Chambers, F. Lennard, and D. Eastop, “Long term condition monitoring of tapestries using image correlation,” in Proceedings of the SEM Annual Conference (SEM, 2010), Vol. 14, pp. 331–338.

Eastop, D.

J. M. Dulieu-Barton, D. Khennouf, A. R. Chambers, F. Lennard, and D. Eastop, “Long term condition monitoring of tapestries using image correlation,” in Proceedings of the SEM Annual Conference (SEM, 2010), Vol. 14, pp. 331–338.

Fischler, M. A.

M. A. Fischler, and R. C. Bolles, “Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,” Commun. ACM 24, 381–395 (1981).
[CrossRef]

Flannery, B. P.

W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes: The Art of Scientific Computing, 3rd ed. (Cambridge University, 2007).

Hartley, R.

R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision (Cambridge University, 2003).

Huntley, J. M.

T. Nam Nguyen, J. M. Huntley, R. L. Burguete, and C. Russel Coggrave, “Shape and displacement measurement of discontinuous surfaces by combining fringe projection and digital image correlation,” Opt. Eng. 50, 101505 (2011).
[CrossRef]

Jauregui, D. V.

R. Jiang, D. V. Jauregui, and K. R. White, “Close-range photogrammetry applications in bridge measurement: literature review,” Meas. Sci. Technol. 41, 823–834 (2008).
[CrossRef]

Jiang, R.

R. Jiang, D. V. Jauregui, and K. R. White, “Close-range photogrammetry applications in bridge measurement: literature review,” Meas. Sci. Technol. 41, 823–834 (2008).
[CrossRef]

Kaebler, A.

G. Bradski, and A. Kaebler, Learning OpenCV: Computer Vision with the OpenCV Library (O’Reilly, 2008).

Keys, R. G.

R. G. Keys, “Cubic convolution interpolation for digital image processing,” IEEE Trans. Acoust. Speech Signal Process. 291153–1160 (1981).
[CrossRef]

Khennouf, D.

J. M. Dulieu-Barton, D. Khennouf, A. R. Chambers, F. Lennard, and D. Eastop, “Long term condition monitoring of tapestries using image correlation,” in Proceedings of the SEM Annual Conference (SEM, 2010), Vol. 14, pp. 331–338.

Kolakowski, P.

M. Malesa, M. Kujawinska, D. Szczepanek, A. Swiercz, and P. Kolakowski, “Monitoring of civil engineering structures using Digital Image Correlation technique,” in Proceedings of 14th International Conference on Experimental Mechanics (EPJ Web of Conferences, 2010), Vol. 6, p. 31014.

Kujawinska, M.

A. Piekarczuk, M. Malesa, M. Kujawinska, and K. Malowany, “Application of hybrid FEM-DIC for assessment of low cost building structures,” Exp. Mech. 52, 1297–1311 (2012).
[CrossRef]

M. Malesa, K. Malowany, L. Tyminska-Widmer, E. Kwiatkowska, M. Kujawinska, B. Rouba, and P. Targowski, “Application of digital image correlation (DIC) for tracking of canvas painting deformations,” Proc. SPIE 8084, 80840L (2011).
[CrossRef]

M. Malesa, M. Kujawinska, D. Szczepanek, A. Swiercz, and P. Kolakowski, “Monitoring of civil engineering structures using Digital Image Correlation technique,” in Proceedings of 14th International Conference on Experimental Mechanics (EPJ Web of Conferences, 2010), Vol. 6, p. 31014.

Kwiatkowska, E.

M. Malesa, K. Malowany, L. Tyminska-Widmer, E. Kwiatkowska, M. Kujawinska, B. Rouba, and P. Targowski, “Application of digital image correlation (DIC) for tracking of canvas painting deformations,” Proc. SPIE 8084, 80840L (2011).
[CrossRef]

Lennard, F.

J. M. Dulieu-Barton, D. Khennouf, A. R. Chambers, F. Lennard, and D. Eastop, “Long term condition monitoring of tapestries using image correlation,” in Proceedings of the SEM Annual Conference (SEM, 2010), Vol. 14, pp. 331–338.

Linder, W.

W. Linder, Digital Photogrammetry: A Practical Course (Springer, 2009).

Malesa, M.

A. Piekarczuk, M. Malesa, M. Kujawinska, and K. Malowany, “Application of hybrid FEM-DIC for assessment of low cost building structures,” Exp. Mech. 52, 1297–1311 (2012).
[CrossRef]

M. Malesa, K. Malowany, L. Tyminska-Widmer, E. Kwiatkowska, M. Kujawinska, B. Rouba, and P. Targowski, “Application of digital image correlation (DIC) for tracking of canvas painting deformations,” Proc. SPIE 8084, 80840L (2011).
[CrossRef]

M. Malesa, M. Kujawinska, D. Szczepanek, A. Swiercz, and P. Kolakowski, “Monitoring of civil engineering structures using Digital Image Correlation technique,” in Proceedings of 14th International Conference on Experimental Mechanics (EPJ Web of Conferences, 2010), Vol. 6, p. 31014.

Malowany, K.

A. Piekarczuk, M. Malesa, M. Kujawinska, and K. Malowany, “Application of hybrid FEM-DIC for assessment of low cost building structures,” Exp. Mech. 52, 1297–1311 (2012).
[CrossRef]

M. Malesa, K. Malowany, L. Tyminska-Widmer, E. Kwiatkowska, M. Kujawinska, B. Rouba, and P. Targowski, “Application of digital image correlation (DIC) for tracking of canvas painting deformations,” Proc. SPIE 8084, 80840L (2011).
[CrossRef]

Nam Nguyen, T.

T. Nam Nguyen, J. M. Huntley, R. L. Burguete, and C. Russel Coggrave, “Shape and displacement measurement of discontinuous surfaces by combining fringe projection and digital image correlation,” Opt. Eng. 50, 101505 (2011).
[CrossRef]

Orteau, J.-J.

M. Sutton, J.-J. Orteau, and H. Schreier, Image Correlation for Shape, Motion and Deformation Measurements (Springer, 2009).

Pan, B.

B. Pan, “Recent progress in digital image correlation,” Exp. Mech. 51, 1223–1235 (2011).
[CrossRef]

Piekarczuk, A.

A. Piekarczuk, M. Malesa, M. Kujawinska, and K. Malowany, “Application of hybrid FEM-DIC for assessment of low cost building structures,” Exp. Mech. 52, 1297–1311 (2012).
[CrossRef]

Press, W. H.

W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes: The Art of Scientific Computing, 3rd ed. (Cambridge University, 2007).

Rouba, B.

M. Malesa, K. Malowany, L. Tyminska-Widmer, E. Kwiatkowska, M. Kujawinska, B. Rouba, and P. Targowski, “Application of digital image correlation (DIC) for tracking of canvas painting deformations,” Proc. SPIE 8084, 80840L (2011).
[CrossRef]

Russel Coggrave, C.

T. Nam Nguyen, J. M. Huntley, R. L. Burguete, and C. Russel Coggrave, “Shape and displacement measurement of discontinuous surfaces by combining fringe projection and digital image correlation,” Opt. Eng. 50, 101505 (2011).
[CrossRef]

Schreier, H.

M. Sutton, J.-J. Orteau, and H. Schreier, Image Correlation for Shape, Motion and Deformation Measurements (Springer, 2009).

Sutton, M.

M. Sutton, J.-J. Orteau, and H. Schreier, Image Correlation for Shape, Motion and Deformation Measurements (Springer, 2009).

Swiercz, A.

M. Malesa, M. Kujawinska, D. Szczepanek, A. Swiercz, and P. Kolakowski, “Monitoring of civil engineering structures using Digital Image Correlation technique,” in Proceedings of 14th International Conference on Experimental Mechanics (EPJ Web of Conferences, 2010), Vol. 6, p. 31014.

Szczepanek, D.

M. Malesa, M. Kujawinska, D. Szczepanek, A. Swiercz, and P. Kolakowski, “Monitoring of civil engineering structures using Digital Image Correlation technique,” in Proceedings of 14th International Conference on Experimental Mechanics (EPJ Web of Conferences, 2010), Vol. 6, p. 31014.

Targowski, P.

M. Malesa, K. Malowany, L. Tyminska-Widmer, E. Kwiatkowska, M. Kujawinska, B. Rouba, and P. Targowski, “Application of digital image correlation (DIC) for tracking of canvas painting deformations,” Proc. SPIE 8084, 80840L (2011).
[CrossRef]

Teukolsky, S. A.

W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes: The Art of Scientific Computing, 3rd ed. (Cambridge University, 2007).

Tyminska-Widmer, L.

M. Malesa, K. Malowany, L. Tyminska-Widmer, E. Kwiatkowska, M. Kujawinska, B. Rouba, and P. Targowski, “Application of digital image correlation (DIC) for tracking of canvas painting deformations,” Proc. SPIE 8084, 80840L (2011).
[CrossRef]

Vetterling, W. T.

W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes: The Art of Scientific Computing, 3rd ed. (Cambridge University, 2007).

White, K. R.

R. Jiang, D. V. Jauregui, and K. R. White, “Close-range photogrammetry applications in bridge measurement: literature review,” Meas. Sci. Technol. 41, 823–834 (2008).
[CrossRef]

Zisserman, A.

R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision (Cambridge University, 2003).

Commun. ACM

M. A. Fischler, and R. C. Bolles, “Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,” Commun. ACM 24, 381–395 (1981).
[CrossRef]

Exp. Mech.

B. Pan, “Recent progress in digital image correlation,” Exp. Mech. 51, 1223–1235 (2011).
[CrossRef]

A. Piekarczuk, M. Malesa, M. Kujawinska, and K. Malowany, “Application of hybrid FEM-DIC for assessment of low cost building structures,” Exp. Mech. 52, 1297–1311 (2012).
[CrossRef]

IEEE Trans. Acoust. Speech Signal Process.

R. G. Keys, “Cubic convolution interpolation for digital image processing,” IEEE Trans. Acoust. Speech Signal Process. 291153–1160 (1981).
[CrossRef]

Meas. Sci. Technol.

R. Jiang, D. V. Jauregui, and K. R. White, “Close-range photogrammetry applications in bridge measurement: literature review,” Meas. Sci. Technol. 41, 823–834 (2008).
[CrossRef]

Opt. Eng.

T. Nam Nguyen, J. M. Huntley, R. L. Burguete, and C. Russel Coggrave, “Shape and displacement measurement of discontinuous surfaces by combining fringe projection and digital image correlation,” Opt. Eng. 50, 101505 (2011).
[CrossRef]

Proc. SPIE

M. Malesa, K. Malowany, L. Tyminska-Widmer, E. Kwiatkowska, M. Kujawinska, B. Rouba, and P. Targowski, “Application of digital image correlation (DIC) for tracking of canvas painting deformations,” Proc. SPIE 8084, 80840L (2011).
[CrossRef]

Other

J. M. Dulieu-Barton, D. Khennouf, A. R. Chambers, F. Lennard, and D. Eastop, “Long term condition monitoring of tapestries using image correlation,” in Proceedings of the SEM Annual Conference (SEM, 2010), Vol. 14, pp. 331–338.

M. Malesa, M. Kujawinska, D. Szczepanek, A. Swiercz, and P. Kolakowski, “Monitoring of civil engineering structures using Digital Image Correlation technique,” in Proceedings of 14th International Conference on Experimental Mechanics (EPJ Web of Conferences, 2010), Vol. 6, p. 31014.

W. Linder, Digital Photogrammetry: A Practical Course (Springer, 2009).

G. Bradski, and A. Kaebler, Learning OpenCV: Computer Vision with the OpenCV Library (O’Reilly, 2008).

R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision (Cambridge University, 2003).

J.-Y. Bouguet, “Camera calibration toolbox for Matlab,” http://www.vision.caltech.edu/bouguetj/calib_doc .

W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes: The Art of Scientific Computing, 3rd ed. (Cambridge University, 2007).

Blender Foundation, http://www.blender.org/ .

M. Sutton, J.-J. Orteau, and H. Schreier, Image Correlation for Shape, Motion and Deformation Measurements (Springer, 2009).

Cited By

OSA participates in CrossRef's Cited-By Linking service. Citing articles from OSA journals and other participating publishers are listed here.

Alert me when this article is cited.


Metrics