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Systematic errors in digital image correlation caused by intensity interpolation

[+] Author Affiliations
Hubert W. Schreier, Joachim R. Braasch, Michael A. Sutton

University of South Carolina, Department of Mechanical Engineering, 300 Main Street, Columbia, South Carolina?29208

Opt. Eng. 39(11), 2915-2921 (Nov 01, 2000). doi:10.1117/1.1314593
History: Received Nov. 8, 1999; Revised June 2, 2000; Accepted June 7, 2000
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Abstract

Recently, digital image correlation as a tool for surface deformation measurements has found widespread use and acceptance in the field of experimental mechanics. The method is known to reconstruct displacements with subpixel accuracy that depends on various factors such as image quality, noise, and the correlation algorithm chosen. However, the systematic errors of the method have not been studied in detail. We address the systematic errors of the iterative spatial domain cross-correlation algorithm caused by gray-value interpolation. We investigate the position-dependent bias in a numerical study and show that it can lead to apparent strains of the order of 40% of the actual strain level. Furthermore, we present methods to reduce this bias to acceptable levels. © 2000 Society of Photo-Optical Instrumentation Engineers.

© 2000 Society of Photo-Optical Instrumentation Engineers

Citation

Hubert W. Schreier ; Joachim R. Braasch and Michael A. Sutton
"Systematic errors in digital image correlation caused by intensity interpolation", Opt. Eng. 39(11), 2915-2921 (Nov 01, 2000). ; http://dx.doi.org/10.1117/1.1314593


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