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

Результат исследований: Глава в книге, отчете, сборнике статейМатериалы для конференциирецензирование

1 Цитирования (Scopus)

Аннотация

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.

Язык оригиналаАнглийский
Название основной публикацииProceedings of the World Congress on Engineering 2017, WCE 2017
РедакторыDavid WL Hukins, A. M. Korsunsky, Len Gelman, S. I. Ao, Andrew Hunter
ИздательNewswood Limited
Страницы456-459
Число страниц4
ISBN (электронное издание)9789881404749
СостояниеОпубликовано - 2017
Опубликовано для внешнего пользованияДа
Событие2017 World Congress on Engineering, WCE 2017 - London, Великобритания
Продолжительность: 5 июл. 20177 июл. 2017

Серия публикаций

НазваниеLecture Notes in Engineering and Computer Science
Том2229
ISSN (печатное издание)2078-0958

Конференция

Конференция2017 World Congress on Engineering, WCE 2017
Страна/TерриторияВеликобритания
ГородLondon
Период5/07/177/07/17

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