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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available