Digital image correlation with improved efficiency by pixel selection

Shao, Xinxing; Zhong, Fuqiang; Huang, Wei; Dai, Xianzhong; Chen, Zhenning; He, Xin

doi:10.1364/ao.387678

Cited by 14 publications

(3 citation statements)

References 44 publications

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“…Nonetheless, these small subsets might not consistently encompass adequate gray gradient information. Addressing this concern, Shao et al (2020) introduced a pixel selection strategy to further enhance the computational efficiency of DIC, thereby enabling real-time deformation measurements with larger subsets. This strategy involves assigning zero weight to pixels deemed unreliable, thereby optimizing efficiency.…”

Section: Review Of Digital Image Correlationmentioning

confidence: 99%

Review of research progress and development trend of digital image correlation

He,

Zhou,

Liu

et al. 2023

MMMS

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PurposeThe purpose of this paper is to provide a comprehensive review of a non-contact full-field optical measurement technique known as digital image correlation (DIC).Design/methodology/approachThe approach of this review paper is to introduce the research pertaining to DIC. It comprehensively covers crucial facets including its principles, historical development, core challenges, current research status and practical applications. Additionally, it delves into unresolved issues and outlines future research objectives.FindingsThe findings of this review encompass essential aspects of DIC, including core issues like the subpixel registration algorithm, camera calibration, measurement of surface deformation in 3D complex structures and applications in ultra-high-temperature settings. Additionally, the review presents the prevailing strategies for addressing these challenges, the most recent advancements in DIC applications across quasi-static, dynamic, ultra-high-temperature, large-scale and micro-scale engineering domains, along with key directions for future research endeavors.Originality/valueThis review holds a substantial value as it furnishes a comprehensive and in-depth introduction to DIC, while also spotlighting its prospective applications.

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Section: Review Of Digital Image Correlationmentioning

confidence: 99%

Review of research progress and development trend of digital image correlation

He,

Zhou,

Liu

et al. 2023

MMMS

View full text Add to dashboard Cite

show abstract

“…DIC tracks the movement of multiple points in images via an iterative subset matching algorithm to achieve displacement measurement 10,11 . With the advances in integer pixel search, 12–17 subpixel registration, 18–22 and parallel computing strategies, 16,23 the cutting edge DIC algorithm achieves characteristics of high‐accuracy and high‐efficiency in well‐controlled laboratories. However, in the open laboratory or outdoor environments, the measured target is often exposed to natural light.…”

Section: Introductionmentioning

confidence: 99%

Real‐time illumination adjustment for video deflectometers

Yang

Zhang

Wang

et al. 2022

Structural Contr & Hlth

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Summary Video deflectometers, as a real‐time, contactless optical means, show great potentials in monitoring structural deflections. However, variations of illumination conditions pose a severe challenge on accurate measurement. In this study, a strategy with global illumination adjustment has been proposed to dynamically change the exposure time of the camera to achieve an optimal intensity distribution. An illumination‐robust digital image correlation (DIC) algorithm is also proposed for accurate, real‐time video deflection measurement. The combined method improves robustness and accuracy of measurement in two ways, which includes globally dynamic intensity adjustment and modification of the grayscale arrays in subsets during the correlation process. Experiments in the laboratory environment and applications in the outdoor environment have been conducted to validate the performance of the proposed method. The results show that the proposed method is feasible and accurate in real‐time deflection measurement in the outdoor environment with variations of environmental illumination.

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“…Later, Pan et al made a detailed analysis of the selection of subset size and quantitative evaluation of speckle quality, and also mathematically derived the theoretical model of displacement measurement accuracy of the two-dimensional DIC method (Pan et al, 2008). More recently, Shao et al proposed a pixel-selection strategy to improve the computational efficiency of DIC further, which allows a real-time deformation measurement with a large subset (Shao et al, 2020). Many essential advances have been made, making DIC one of the most popular and practical measurement techniques.…”

Section: Introductionmentioning

confidence: 99%

Digital image correlation for sensing kinematic fields in manufacturing processes: a review

Zhu

Zhang

Zou

2021

JIMSE

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PurposeThe purpose of the work is to provide a comprehensive review of the digital image correlation (DIC) technique for those who are interested in performing the DIC technique in the area of manufacturing.Design/methodology/approachNo methodology was used because the paper is a review article.Findingsno fundings.Originality/valueHerein, the historical development, main strengths and measurement setup of DIC are introduced. Subsequently, the basic principles of the DIC technique are outlined in detail. The analysis of measurement accuracy associated with experimental factors and correlation algorithms is discussed and some useful recommendations for reducing measurement errors are also offered. Then, the utilization of DIC in different manufacturing fields (e.g. cutting, welding, forming and additive manufacturing) is summarized. Finally, the current challenges and prospects of DIC in intelligent manufacturing are discussed.

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Digital image correlation with improved efficiency by pixel selection

Cited by 14 publications

References 44 publications

Review of research progress and development trend of digital image correlation

Review of research progress and development trend of digital image correlation

Real‐time illumination adjustment for video deflectometers

Digital image correlation for sensing kinematic fields in manufacturing processes: a review

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