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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (SciVal)
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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 (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.

Original languageEnglish
Title of host publicationProceedings of the World Congress on Engineering 2017, WCE 2017
EditorsDavid WL Hukins, A. M. Korsunsky, Len Gelman, S. I. Ao, Andrew Hunter
PublisherNewswood Limited
Pages456-459
Number of pages4
Volume2229
ISBN (Electronic)9789881404749
Publication statusPublished - 7 Jul 2017
Event2017 World Congress on Engineering, WCE 2017 - London, UK United Kingdom
Duration: 5 Jul 20177 Jul 2017

Publication series

NameLecture Notes in Engineering and Computer Science: Proceedings
PublisherNewswood Limited
ISSN (Print)2078-0958
ISSN (Electronic)2078-0966

Conference

Conference2017 World Congress on Engineering, WCE 2017
Country/TerritoryUK United Kingdom
CityLondon
Period5/07/177/07/17

Keywords

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

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

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