Digital Image Correlation Techniques for Displacement and Strain Measurement
Summary
Digital image correlation (DIC) is a non-contact optical metrology technique for measuring displacement and strain by tracking the motion of a stochastic speckle pattern applied to a specimen surface. Through cross-correlation of subsets from reference and deformed images, DIC yields full-field displacement maps, which can be differentiated to obtain strain distributions. Two-dimensional DIC captures in-plane deformations, while stereo or multi-view configurations enable three-dimensional measurements and the correction of out-of-plane motions. Advances in camera technology, image processing algorithms and computational power have improved subpixel accuracy, temporal resolution and robustness against noise. Recent developments include deep learning-based correction models for environmental distortions, open-source toolboxes for multi-view calibration and merging, and guidelines for optimal subset selection to balance spatial resolution with measurement uncertainty. The versatility of DIC has led to widespread adoption across materials science, biomechanics, electronics reliability and high-temperature testing, where precise deformation fields inform constitutive modelling, structural health monitoring and process optimisation.
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Digital Image Correlation Techniques for Displacement and Strain Measurement publication trend
The graph below shows the total number of articles in digital image correlation techniques for displacement and strain measurement across all publications each year (not limited to Nature Index journals).
Technical terms
Speckle pattern: Random high-contrast marker applied to a specimen surface to provide trackable features for image correlation.
Subset: Localised pixel neighbourhood used in correlation analysis to determine displacement vectors between images.
Zero-mean Normalised Sum of Squared Differences (ZNSSD) criterion: Correlation metric that accounts for intensity variations by normalising mean and variance within a subset.
Three-dimensional digital image correlation (3D-DIC): Stereo or multi-view DIC technique that reconstructs full 3D displacement and strain fields by triangulating corresponding points from multiple cameras.
Subpixel interpolation: Computational method that refines correlation peaks to locate displacements with accuracy below the pixel grid resolution.
References
- Correction of thermal airflow distortion in warpage measurements of microelectronic packaging structures via deep learning-based digital image correlation. Microsystems & Nanoengineering (2024).
- Study on subset size selection in digital image correlation for speckle patterns.. Optics Express (2008).
- MultiDIC: An Open-Source Toolbox for Multi-View 3D Digital Image Correlation. IEEE Access (2018).
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