Design Innovation Paper

Intuitive Interface for the Quantitative Evaluation of Speckle Patterns for Use in Digital Image and Volume Correlation Techniques

[+] Author and Article Information
Jonathan B. Estrada

School of Engineering,
Brown University,
Providence, RI 02912
e-mail: jonathan_estrada@brown.edu

Christian Franck

Assistant Professor
School of Engineering,
Brown University,
Providence, RI 02912
e-mail: franck@brown.edu

1Corresponding author.

Contributed by the Applied Mechanics Division of ASME for publication in the JOURNAL OF APPLIED MECHANICS. Manuscript received May 1, 2015; final manuscript received June 8, 2015; published online June 25, 2015. Editor: Yonggang Huang.

J. Appl. Mech 82(9), 095001 (Sep 01, 2015) (5 pages) Paper No: JAM-15-1216; doi: 10.1115/1.4030821 History: Received May 01, 2015; Revised June 08, 2015; Online June 25, 2015

Digital image correlation (DIC) and digital volume correlation (DVC) are powerful means of resolving local kinematic descriptions of material deformation fields across a variety of material and testing platforms. Their spatial resolution, sensitivity, and accuracy depend in large part on the quality of the intrinsic material speckle pattern. Traditional evaluation of speckle pattern quality, or subset intensity distribution, relies on a set of well-characterized experimental measurements including rigid-body translation and rotation. In order to provide a significantly faster quantitative evaluation process on whether a particular speckle pattern is suitable for DIC or DVC purposes, we present a simple, intuitive DIC and DVC speckle pattern graphical user interface (GUI) tool programmed in matlab. This tool assesses the DIC and DVC robustness of user-supplied speckle patterns via a two-step procedure: The first step involves warping the specific image according to a set of analytically prescribed deformation functions. The second step involves correlating the analytically warped and reference image pairs to recover the prescribed displacement field and its quantitative comparison to the prescribed warping function. Since the accuracy and precision of the recovered solution depend on the characteristics of the intensity distributions encoded in the image, this approach allows for a simple, yet effective, quantification procedure of the correlation suitability in the supplied image speckle pattern. In short, this procedure allows for fast and quantitative evaluation of the quality and suitability of a given speckle pattern to be used in DIC and DVC applications without the need of performing time-consuming experimental measurements. As such, we hope that this free tool will benefit anyone interested in performing DIC- or DVC-based kinematic measurements.

Copyright © 2015 by ASME
Your Session has timed out. Please sign back in to continue.


Hild, F., and Roux, S., 2012, Digital Image Correlation, Wiley-VCH, Weinheim, Germany.
Gates, M., Lambros, J., and Heath, M. T., 2011, “Towards High Performance Digital Volume Correlation,” Exp. Mech., 51(4), pp. 491–507. [CrossRef]
Sutton, M. A., Orteu, J. J., and Schreier, H., 2009, Image Correlation for Shape, Motion and Deformation Measurements: Basic Concepts, Theory and Applications, Springer, New York.
Du, Y., Diaz, F. A., Burguete, R. L., and Patterson, E. A., 2011, “Evaluation Using Digital Image Correlation of Stress Intensity Factors in an Aerospace Panel,” Exp. Mech., 51(1), pp. 45–57. [CrossRef]
Blaber, J., Adair, B. S., and Antoniou, A., 2015, “A Methodology for High Resolution Digital Image Correlation in High Temperature Experiments,” Rev. Sci. Instrum., 86(3), p. 035111. [CrossRef] [PubMed]
Grassi, L., Väänänen, S. P., Yavari, S. A., Jurvelin, J. S., Weinans, H., Ristinmaa, M., Zadpoor, A. A., and Isaksson, H., 2014, “Full-Field Strain Measurement During Mechanical Testing of the Human Femur at Physiologically Relevant Strain Rates,” ASME J. Biomech. Eng., 136(11), p. 111010. [CrossRef]
Toyjanova, J., Flores-Cortez, E., Reichner, J. S., and Franck, C., 2015, “Matrix Confinement Plays a Pivotal Role in Regulating Neutrophil-Generated Tractions, Speed and Integrin Utilization,” J. Biol. Chem., 290(6), pp. 3752–3763. [CrossRef] [PubMed]
Ambu, R., Aymerich, F., and Bertolino, F., 2005, “Investigation of the Effect of Damage on the Strength of Notched Composite Laminates by Digital Image Correlation,” J. Strain Anal. Eng. Des., 40(5), pp. 451–461. [CrossRef]
Bormann, T., Schulz, G., Deyhle, H., Beckmann, F., de Wild, M., Küffer, J., Münch, C., Hoffmann, W., and Müller, B., 2014, “Combining Micro Computed Tomography and Three-Dimensional Registration to Evaluate Local Strains in Shape Memory Scaffolds,” Acta Biomater., 10(2), pp. 1024–1034. [CrossRef] [PubMed]
Kim, K., and Daly, S., 2011, “Martensite Strain Memory in the Shape Memory Alloy Nickel-Titanium Under Mechanical Cycling,” Exp. Mech., 51(4), pp. 641–652. [CrossRef]
Coudrillier, B., Pijanka, J., Jefferys, J., Sorensen, T., Quigley, H. A., Boote, C., and Nguyen, T. D., 2015, “Collagen Structure and Mechanical Properties of the Human Sclera: Analysis for the Effects of Age,” ASME J. Biomech. Eng., 137(4), p. 041006. [CrossRef]
Abanto-Bueno, J., and Lambros, J., 2002, “Investigation of Crack Growth in Functionally Graded Materials Using Digital Image Correlation,” Eng. Fract. Mech., 69(14–16), pp. 1695–1711. [CrossRef]
Bay, B. K., Smith, T. S., Fyhrie, D. P., and Saad, M., 1999, “Digital Volume Correlation: Three-Dimensional Strain Mapping Using X-Ray Tomography,” Exp. Mech., 39(3), pp. 217–226. [CrossRef]
Kammers, A. D., and Daly, S., 2013, “Digital Image Correlation Under Scanning Electron Microscopy: Methodology and Validation,” Exp. Mech., 53(9), pp. 1743–1761. [CrossRef]
Bar-Kochba, E., Toyjanova, J., Andrews, E., Kim, K. S., and Franck, C., 2015, “A Fast Iterative Digital Volume Correlation Algorithm for Large Deformations,” Exp. Mech., 55(1), pp. 261–274. [CrossRef]
Madi, K., Tozzi, G., Zhang, Q. H., Tong, J., Cossey, A., Au, A., Hollis, D., and Hild, F., 2013, “Computation of Full-Field Displacements in a Scaffold Implant Using Digital Volume Correlation and Finite Element Analysis,” Med. Eng. Phys., 35(9), pp. 1298–1312. [CrossRef] [PubMed]
Schreier, H. W., and Sutton, M. A., 2002, “Systematic Errors in Digital Image Correlation Due to Undermatched Subset Shape Functions,” Exp. Mech., 42(3), pp. 303–310. [CrossRef]
Lu, H., and Cary, P. D., 2000, “Deformation Measurements by Digital Image Correlation: Implementation of a Second-Order Displacement Gradient,” Exp. Mech., 40(4), pp. 393–400. [CrossRef]
Poissant, J., and Barthelat, F., 2010, “A Novel ‘Subset Splitting' Procedure for Digital Image Correlation on Discontinuous Displacement Fields,” Exp. Mech., 50(3), pp. 353–364. [CrossRef]
Eberl, C., 2010, “Digital Image Correlation and Tracking,” The MathWorks Inc., Natick, MA, http://www.mathworks.com/matlabcentral/fileexchange/12413-digital-image-correlation-and-tracking
Jones, E., 2013, “Improved Digital Image Correlation (DIC),” The MathWorks Inc., Natick, MA, http://www.mathworks.com/matlabcentral/fileexchange/43073-improved-digital-image-correlation–dic-
Tseng, Q., Duchemin-Pelletier, E., Deshiere, A., Balland, M., Guillou, H., Filhol, O., and Théry, M., 2012, “Spatial Organization of the Extracellular Matrix Regulates Cell–Cell Junction Positioning,” Proc. Natl. Acad. Sci., 109(5), pp. 1506–1511. [CrossRef]
Mori, N., and Chang, K. A., 2003, “Introduction to MPIV,” http://www.oceanwave.jp/softwares/mpiv/
Blaber, J., Adair, B., and Antoniou, A., 2015, “Ncorr: Open-Source 2D Digital Image Correlation Matlab Software,” Exp. Mech., 55(6), pp. 1105–1122. [CrossRef]
Bornert, M., Brémand, F., Doumalin, P., and Dupré, J. C., 2009, “Assessment of Digital Image Correlation Measurement Errors: Methodology and Results,” Exp. Mech., 49(3), pp. 353–370. [CrossRef]
Fazzini, M., Mistou, S., Dalverny, O., and Robert, L., 2010, “Study of Image Characteristics on Digital Image Correlation Error Assessment,” Opt. Lasers Eng., 48(3), pp. 335–339. [CrossRef]
Crammond, G., Boyd, S., and Dulieu-Barton, J., 2013, “Speckle Pattern Quality Assessment for Digital Image Correlation,” Opt. Lasers Eng., 51(12), pp. 1368–1378. [CrossRef]
Yuan, Y., Huang, J., Peng, X., Xiong, C., Fang, J., and Yuan, F., 2014, “Accurate Displacement Measurement Via a Self-Adaptive Digital Image Correlation Method Based on a Weighted ZNSSD Criterion,” Opt. Lasers Eng., 52, pp. 75–85. [CrossRef]
Eckstein, A., and Vlachos, P. P., 2009, “Assessment of Advanced Windowing Techniques for Digital Particle Image Velocimetry (DPIV),” Meas. Sci. Technol., 20(7), p. 075402. [CrossRef]
Westerweel, J., Dabiri, D., and Gharib, M., 1997, “The Effect of a Discrete Window Offset on the Accuracy of Cross-Correlation Analysis of Digital PIV Recordings,” Exp. Fluids, 23(1), pp. 20–28. [CrossRef]
Huang, J., Pan, X., Peng, X., Yuan, Y., Xiong, C., Fang, J., and Yuan, F., 2013, “Digital Image Correlation With Self-Adaptive Gaussian Windows,” Exp. Mech., 53(3), pp. 505–512. [CrossRef]
Rappaport, C., 2002, “A Color Map for Effective Black-and-White Rendering of Color Scale Images,” IEEE Antennas Propag. Mag., 44(3), pp. 94–96. [CrossRef]
Landau, L. D., Pitaevskii, L. P., Kosevich, A. M., and Lifshitz, E. M., 2012, Theory of Elasticity, Elsevier, Burlington, MA.
Bower, A. F., 2010, Applied Mechanics of Solids, CRC Press, Boca Raton, FL.
Franck, C., Hong, S., Maskarinec, S. A., and Tirrell, D. A., 2007, “Three-Dimensional Full-Field Measurements of Large Deformations in Soft Materials Using Confocal Microscopy and Digital Volume Correlation,” Exp. Mech., 47(3), pp. 427–438. [CrossRef]


Grahic Jump Location
Fig. 1

Schematic overview of the DIC and DVC simulators

Grahic Jump Location
Fig. 2

Screenshot of the matlab-based DIC simulator GUI, with (a) input parameters, (b) input image, and output (c), (d) contour maps and (e), (f) residual deformation recovery error histograms

Grahic Jump Location
Fig. 3

Example (a) and (f) input images and output displacement contour maps and residual error histograms in (b), (c), (g), and (h) uniaxial tension and (d), (e), (i), and (j) for a point force




Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In