1 A New Method for Improving Measurement Accuracy of Digital Image Correlation 5 1.4 Conclusion The quasi odd function feature of system error in DIC is displayed for different interpolations. An effective system error reduction strategy is proposed using the quasi odd function feature. Open access speckle images (https://sem.org/dicchallenge/) are used to test the proposed strategy. The measurement accuracy of the proposed strategy is investigated. And the results indicate that the system error can be reduced by the proposed strategy. In addition, the developed strategy is suitable for the situations including motion measurement and dimension measurement which can employ the DIC technique. And the simulated speckle pattern can be pasted on the moving target or the same speckle patterns can be pasted on different positions of the specimen whose dimension needs to be measured. References 1. Sutton, M.A., Orteu, J.J., Schreier, H.: Image Correlation for Shape, Motion and Deformation Measurements: Basic Concepts, Theory and Applications. Springer Science & Business Media, New York (2009) 2. Pan, B., et al.: Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review. Meas. Sci. Technol. 20(6), 062001 (2009) 3. Wu, R., Qian, H., Zhang, D.: Robust full-field measurement considering rotation using digital image correlation. Meas. Sci. Technol. 27(10), 105002 (2016) 4. Ashrafi, M., Tuttle, M.E.: Measurement of strain gradients using digital image correlation by applying printed-speckle patterns. Exp. Tech. 40(2), 1–7 (2016) 5. Zhao, J., Zhao, D., Zhang, Z.: A non-contact varying temperature strain measuring system based on digital image correlation. Exp. Tech. 40(1), 101–110 (2016) 6. Wang, D., et al.: Bias reduction in sub-pixel image registration based on the anti-symmetric feature. Meas. Sci. Technol. 27(3), 035206 (2016) 7. Shaopeng, M.A., Pang, J., Qinwei, M.A.: The systematic error in digital image correlation induced by self-heating of a digital camera. Meas. Sci. Technol. 23(2), 344–347 (2012) 8. Pan, B., et al.: Systematic errors in two-dimensional digital image correlation due to lens distortion. Opt. Lasers Eng. 51(2), 140–147 (2013) 9. Wang, Y., et al., Theoretical analysis on the measurement errors of local 2D DIC: part II assessment of strain errors of the local smoothing method–approaching an answer to the overlap question. Strain. 52(2):129–147, 2016 10. Li, B., Wang, Q., Duan, D.: A modified digital image correlation with enhanced speed and improved accuracy. Proc. SPIE. (2017) 11. Pan, B.: Reliability-guided digital image correlation for image deformation measurement. Appl. Opt. 48(8), 1535–1542 (2009) 12. Jiang, Z., et al.: Path-independent digital image correlation with high accuracy, speed and robustness. Opt. Lasers Eng. 65, 93–102 (2015) 13. Shao, X., et al.: Real-time 3D digital image correlation method and its application in human pulse monitoring. Appl. Opt. 55(4), 696–704 (2016) 14. Wang, B., Pan, B.: Random errors in digital image correlation due to matched or overmatched shape functions. Exp. Mech. 55(9), 1–11 (2015) 15. Schreier, H.W., Braasch, J.R., Sutton, M.A.: Systematic errors in digital image correlation caused by intensity interpolation. Opt. Eng. 39(11), 2915–2921 (2000) 16. Su, Y., et al.: Fourier-based interpolation bias prediction in digital image correlation. Opt. Express. 23(15), 19242–19260 (2015) 17. Su, Y., et al.: Noise-induced bias for convolution-based interpolation in digital image correlation. Opt. Express. 24(2), 1175 (2016) 18. Xu, X., Su, Y., Zhang, Q.: Theoretical estimation of systematic errors in local deformation measurements using digital image correlation. Opt. Lasers. Eng. 88, 265–279 (2017) 19. Hu, Z., et al.: Error evaluation technique for three-dimensional digital image correlation. Appl. Opt. 50(33), 6239–6247 (2011) 20. Pan, B., Yu, L., Wu, D.: High-accuracy 2D digital image correlation measurements with bilateral telecentric lenses: error analysis and experimental verification. Exp. Mech. 53(9), 1719–1733 (2013) 21. Pan, B., Yu, L., Wu, D.: Accurate ex situ deformation measurement using an ultra-stable two-dimensional digital image correlation system. Appl. Opt. 53(19), 4216–4227 (2014) 22. Pan, B., Yu, L., Wu, D.: High-accuracy 2D digital image correlation measurements using low-cost imaging lenses: implementation of a generalized compensation method. Meas. Sci. Technol. 25(2), 025001–025012 (2014) 23. Pan, B.: Bias error reduction of digital image correlation using Gaussian pre-filtering. Opt. Lasers. Eng. 51(10), 1161–1167 (2013) 24. Zhou, Y., et al.: Image pre-filtering for measurement error reduction in digital image correlation. Opt. Lasers. Eng. 65(1), 46–56 (2015) 25. Zhou, Y., Sun, C., Chen, J.: Adaptive subset offset for systematic error reduction in incremental digital image correlation. Opt. Lasers. Eng. 55(7), 5–11 (2014) 26. Luu, L., et al.: Accuracy enhancement of digital image correlation with B-spline interpolation. Opt. Lett. 36(16), 3070–3072 (2011) 27. Yu, L., Pan, B.: The errors in digital image correlation due to overmatched shape functions. Meas. Sci. Technol. 26(4), 045202 (2015) 28. Bing, P., et al.: Performance of sub-pixel registration algorithms in digital image correlation. Meas. Sci. Technol. 17(6), 1615 (2006) Li Bang-Jian is a PhD candidate in the School of Aeronautics and Astronautics at Shanghai Jiao Tong University. His research interests include digital image correlation and its applications in control science and engineering.
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