A posteriori compensation of the systematic error due to polynomial interpolation in digital image correlation

Antonio Baldi; Filippo Bertolino

doi:10.1117/1.OE.52.10.101913

9 July 2013 A posteriori compensation of the systematic error due to polynomial interpolation in digital image correlation

Antonio Baldi, Filippo Bertolino

Author Affiliations +

Optical Engineering, Vol. 52, Issue 10, 101913 (July 2013). https://doi.org/10.1117/1.OE.52.10.101913

Abstract

It is well known that displacement components estimated using digital image correlation are affected by a systematic error due to the polynomial interpolation required by the numerical algorithm. The magnitude of bias depends on the characteristics of the speckle pattern (i.e., the frequency content of the image), on the fractional part of displacements and on the type of polynomial used for intensity interpolation. In literature, B-Spline polynomials are pointed out as being able to introduce the smaller errors, whereas bilinear and cubic interpolants generally give the worst results. However, the small bias of B-Spline polynomials is partially counterbalanced by a somewhat larger execution time. We will try to improve the accuracy of lower order polynomials by a posteriori correcting their results so as to obtain a faster and more accurate analysis.

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Antonio Baldi and Filippo Bertolino "A posteriori compensation of the systematic error due to polynomial interpolation in digital image correlation," Optical Engineering 52(10), 101913 (9 July 2013). https://doi.org/10.1117/1.OE.52.10.101913

Published: 9 July 2013

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