Systematic errors due to polynomial interpolation in digital image correlation: analysis of some interpolating kernels and experimental validation

Antonio Baldi; Filippo Bertolino

doi:10.1117/12.978642

11 September 2012 Systematic errors due to polynomial interpolation in digital image correlation: analysis of some interpolating kernels and experimental validation

Antonio Baldi, Filippo Bertolino

Author Affiliations +

Proceedings Volume 8413, Speckle 2012: V International Conference on Speckle Metrology; 841308 (2012) https://doi.org/10.1117/12.978642
Event: SPECKLE 2012: V International Conference on Speckle Metrology, 2012, Vigo, Spain

Abstract

The accuracy of image correlation algorithms is severely affected by errors introduced by the interpolation step. This article surveys some of the most common interpolating and approximating kernels, focusing on the various sources of error-signal attenuation, phase errors and frequency spectrum-to identify the best performing algorithms. The results of the analysis are experimentally validated by comparing the Digital Image Correlation estimated displacements with the interferometric estimated values.

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Antonio Baldi and Filippo Bertolino "Systematic errors due to polynomial interpolation in digital image correlation: analysis of some interpolating kernels and experimental validation", Proc. SPIE 8413, Speckle 2012: V International Conference on Speckle Metrology, 841308 (11 September 2012); https://doi.org/10.1117/12.978642

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