Overview of Digital Image Correlation

This chapter provides an introduction to the methods for measuring the field of displacement and strain on the surface of a specimen by means of digital image correlation (DIC) techniques. Both its two-dimensional and three-dimensional versions are presented. A simplified overview of the algorithms underlying such a method is provided. As DIC can lead to subtle errors, which may go unobserved, the focus of this section is on the several possible sources of random and systematic errors, and on possible approaches and practical solutions to keep such errors under control. The methods for preparing the specimen’s surface are described in detail. An extensive discussion is provided about the strategies for optimizing the processing parameters and the post-processing filters in order to minimize the noise while avoiding significant loss of information. The last part of this chapter provides an overview of the volumetric version of such a method (digital volume correlation, DVC), and some applications.

[1]  Phillip Reu,et al.  Introduction to digital image correlation: best practices and applications , 2012, Experimental Techniques.

[2]  E. Morgan,et al.  Accuracy and precision of digital volume correlation in quantifying displacements and strains in trabecular bone. , 2007, Journal of biomechanics.

[3]  M. A. Sutton,et al.  Systematic errors in digital image correlation caused by intensity interpolation , 2000 .

[4]  L. Cristofolini,et al.  Shape and function of the diaphysis of the human tibia. , 2013, Journal of biomechanics.

[5]  M. A. Sutton,et al.  Accurate measurement of three-dimensional deformations in deformable and rigid bodies using computer vision , 1993 .

[6]  Pascal Doumalin,et al.  Digital Image Correlation accuracy: influence of kind of speckle and recording setup , 2010 .

[7]  Gianluca Tozzi,et al.  Three-dimensional local measurements of bone strain and displacement: comparison of three digital volume correlation approaches. , 2015, Journal of biomechanical engineering.

[8]  M Viceconti,et al.  About the inevitable compromise between spatial resolution and accuracy of strain measurement for bone tissue: a 3D zero-strain study. , 2014, Journal of biomechanics.

[9]  Hubert W. Schreier,et al.  Image Correlation for Shape, Motion and Deformation Measurements: Basic Concepts,Theory and Applications , 2009 .

[10]  Egon Perilli,et al.  Application of the digital volume correlation technique for the measurement of displacement and strain fields in bone: a literature review. , 2014, Journal of biomechanics.

[11]  William F. Clocksin,et al.  Image Processing Issues in Digital Strain Mapping , 2002, SPIE Optics + Photonics.

[12]  W. Peters,et al.  Digital Imaging Techniques In Experimental Stress Analysis , 1982 .

[13]  W. F. Riley,et al.  Experimental stress analysis , 1978 .

[14]  Brian K. Bay,et al.  Methods and applications of digital volume correlation , 2008 .

[15]  L. Cristofolini,et al.  A practical approach to optimizing the preparation of speckle patterns for digital-image correlation , 2014 .

[16]  Peng Zhou,et al.  Subpixel displacement and deformation gradient measurement using digital image/speckle correlation (DISC) , 2001 .

[17]  Phillip Reu,et al.  Hidden Components of DIC: Calibration and Shape Function – Part 1 , 2012 .