On the upper and lower bounds of correlation window size in digital image correlation analysis

Hongjia Zhang; Melanie Senn; Tan Sui; Alexander Lunt; León Romano Brandt; Chrysanthi Papadaki; Siqi Ying; Enrico Salvati; Chris Eberl; Alexander M. Korsunsky

On the upper and lower bounds of correlation window size in digital image correlation analysis

Hongjia Zhang, Melanie Senn, Tan Sui, Alexander Lunt, León Romano Brandt, Chrysanthi Papadaki, Siqi Ying, Enrico Salvati, Chris Eberl, Alexander M. Korsunsky

Department of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

109 Downloads (Pure)

Abstract

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 (corssize_min) and an upper bound (corssize_max). The reason why DIC returns high error factor when beyond corssize_max 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.

Original language	English
Title of host publication	Proceedings of the World Congress on Engineering 2017, WCE 2017
Editors	David WL Hukins, A. M. Korsunsky, Len Gelman, S. I. Ao, Andrew Hunter
Publisher	Newswood Limited
Pages	456-459
Number of pages	4
Volume	2229
ISBN (Electronic)	9789881404749
Publication status	Published - 7 Jul 2017
Event	2017 World Congress on Engineering, WCE 2017 - London, UK United Kingdom Duration: 5 Jul 2017 → 7 Jul 2017

Publication series

Name	Lecture Notes in Engineering and Computer Science: Proceedings
Publisher	Newswood Limited
ISSN (Print)	2078-0958
ISSN (Electronic)	2078-0966

Conference

Conference	2017 World Congress on Engineering, WCE 2017
Country	UK United Kingdom
City	London
Period	5/07/17 → 7/07/17

Keywords

Correlation window size
Digital image correlation
Image boundary effect
Upper and lower bounds

ASJC Scopus subject areas

Computer Science (miscellaneous)

Access to Document

WCE2017_pp456-459Accepted author manuscript, 1.2 MB

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Zhang, H., Senn, M., Sui, T., Lunt, A., Brandt, L. R., Papadaki, C., Ying, S., Salvati, E., Eberl, C., & Korsunsky, A. M. (2017). On the upper and lower bounds of correlation window size in digital image correlation analysis. In D. WL. Hukins, A. M. Korsunsky, L. Gelman, S. I. Ao, & A. Hunter (Eds.), Proceedings of the World Congress on Engineering 2017, WCE 2017 (Vol. 2229, pp. 456-459). (Lecture Notes in Engineering and Computer Science: Proceedings). Newswood Limited. http://www.iaeng.org/publication/WCE2017/WCE2017_pp456-459.pdf

On the upper and lower bounds of correlation window size in digital image correlation analysis. / Zhang, Hongjia; Senn, Melanie; Sui, Tan; Lunt, Alexander; Brandt, León Romano; Papadaki, Chrysanthi; Ying, Siqi; Salvati, Enrico; Eberl, Chris; Korsunsky, Alexander M.

Proceedings of the World Congress on Engineering 2017, WCE 2017. ed. / David WL Hukins; A. M. Korsunsky; Len Gelman; S. I. Ao; Andrew Hunter. Vol. 2229 Newswood Limited, 2017. p. 456-459 (Lecture Notes in Engineering and Computer Science: Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhang, H, Senn, M, Sui, T, Lunt, A, Brandt, LR, Papadaki, C, Ying, S, Salvati, E, Eberl, C & Korsunsky, AM 2017, On the upper and lower bounds of correlation window size in digital image correlation analysis. in DWL Hukins, AM Korsunsky, L Gelman, SI Ao & A Hunter (eds), Proceedings of the World Congress on Engineering 2017, WCE 2017. vol. 2229, Lecture Notes in Engineering and Computer Science: Proceedings, Newswood Limited, pp. 456-459, 2017 World Congress on Engineering, WCE 2017, London, UK United Kingdom, 5/07/17. <http://www.iaeng.org/publication/WCE2017/WCE2017_pp456-459.pdf>

Zhang H, Senn M, Sui T, Lunt A, Brandt LR, Papadaki C et al. On the upper and lower bounds of correlation window size in digital image correlation analysis. In Hukins DWL, Korsunsky AM, Gelman L, Ao SI, Hunter A, editors, Proceedings of the World Congress on Engineering 2017, WCE 2017. Vol. 2229. Newswood Limited. 2017. p. 456-459. (Lecture Notes in Engineering and Computer Science: Proceedings).

Zhang, Hongjia ; Senn, Melanie ; Sui, Tan ; Lunt, Alexander ; Brandt, León Romano ; Papadaki, Chrysanthi ; Ying, Siqi ; Salvati, Enrico ; Eberl, Chris ; Korsunsky, Alexander M. / On the upper and lower bounds of correlation window size in digital image correlation analysis. Proceedings of the World Congress on Engineering 2017, WCE 2017. editor / David WL Hukins ; A. M. Korsunsky ; Len Gelman ; S. I. Ao ; Andrew Hunter. Vol. 2229 Newswood Limited, 2017. pp. 456-459 (Lecture Notes in Engineering and Computer Science: Proceedings).

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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.

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