TY - GEN
T1 - On the upper and lower bounds of correlation window size in digital image correlation analysis
AU - Zhang, Hongjia
AU - Senn, Melanie
AU - Sui, Tan
AU - Lunt, Alexander
AU - Brandt, León Romano
AU - Papadaki, Chrysanthi
AU - Ying, Siqi
AU - Salvati, Enrico
AU - Eberl, Chris
AU - Korsunsky, Alexander M.
PY - 2017/7/7
Y1 - 2017/7/7
N2 - Digital Image Correlation (DIC), as a technique based on image processing, has been intensively used for displacement measurement. The setup of DIC analysis starting condition is crucial to the validity of the results. In this paper, the influence of correlation window size (corrsize), one of the parameters that need to be chosen by users for setup, is studied. The results show that DIC is reliable as long as the corrsize is between a lower bound (corssizemin) and an upper bound (corssizemax). The reason why DIC returns high error factor when beyond corssizemax is related to image boundary effect, which is demonstrated by an equation serving as a criterion for corrsize choice. The study in this paper is particularly vital in cases where the Region of Interest (ROI) is close to the image and the real displacement is large.
AB - Digital Image Correlation (DIC), as a technique based on image processing, has been intensively used for displacement measurement. The setup of DIC analysis starting condition is crucial to the validity of the results. In this paper, the influence of correlation window size (corrsize), one of the parameters that need to be chosen by users for setup, is studied. The results show that DIC is reliable as long as the corrsize is between a lower bound (corssizemin) and an upper bound (corssizemax). The reason why DIC returns high error factor when beyond corssizemax is related to image boundary effect, which is demonstrated by an equation serving as a criterion for corrsize choice. The study in this paper is particularly vital in cases where the Region of Interest (ROI) is close to the image and the real displacement is large.
KW - Correlation window size
KW - Digital image correlation
KW - Image boundary effect
KW - Upper and lower bounds
UR - http://www.scopus.com/inward/record.url?scp=85041210096&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85041210096
VL - 2229
T3 - Lecture Notes in Engineering and Computer Science: Proceedings
SP - 456
EP - 459
BT - Proceedings of the World Congress on Engineering 2017, WCE 2017
A2 - Hukins, David WL
A2 - Korsunsky, A. M.
A2 - Gelman, Len
A2 - Ao, S. I.
A2 - Hunter, Andrew
PB - Newswood Limited
T2 - 2017 World Congress on Engineering, WCE 2017
Y2 - 5 July 2017 through 7 July 2017
ER -