A weighting window applied to the digital image correlation method

Wang, Min; Cen, Yuwan; Hu, Xiaofang; Yu, Xiaoliu; Xie, Nenggang; Wu, Yuguo; Xu, Pengfei; Xu, Deyi

doi:10.1016/j.optlastec.2008.05.014

Cited by 17 publications

(8 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, an undersized step-size will cause excessive noise, which would seriously affect the accuracy of extraction and positioning for the main crack here. Similar parameters for sub-image size and step size could also be found in reference [37].…”

Section: Imaging Of the Crack Locationmentioning

confidence: 79%

A method of crack detection based on digital image correlation for simulated cracked tooth

Zhang

Guo

et al. 2021

BMC Oral Health

View full text Add to dashboard Cite

Background Early clinical cracked tooth can be a perplexing disorder to diagnose and manage. One of the key problems for the diagnosis of the cracked tooth is the detection of the location of the surface crack. Methods This paper proposes an image-based method for the detection of the micro-crack in the simulated cracked tooth. A homemade three-axis motion platform mounted with a telecentric lens was built as an image acquisition system to observe the surface of the simulated cracked tooth, which was under compression with a magnitude of the masticatory force. By using digital image correlation (DIC), the deformation map for the crown surface of the cracked tooth was calculated. Through image analysis, the micro-crack was quantitatively visualized and characterized. Results The skeleton of the crack path was successfully extracted from the image of the principal strain field, which was further verified by the image from micro-CT. Based on crack kinematics, the crack opening displacement was quantitatively calculated to be 2–10 µm under the normal mastication stress, which was in good agreement with the value reported in the literature. Conclusions The crack on the surface of the simulated cracked tooth could be detected based on the proposed DIC-based method. The proposed method may provide a new solution for the rapid clinical diagnosis of cracked teeth and the calculated crack information would be helpful for the subsequent clinical treatment of cracked teeth.

show abstract

Section: Imaging Of the Crack Locationmentioning

confidence: 79%

A method of crack detection based on digital image correlation for simulated cracked tooth

Zhang

Guo

et al. 2021

BMC Oral Health

View full text Add to dashboard Cite

show abstract

“…Both least-squares fitting and interpolation algorithms can be used to approximate the local correlation coefficient matrix, and the peak position of the approximated curve surface is taken as the sub-pixel displacements. For example, Chen et al [13] proposed a biparabolic least-squares fitting of the local peak and define the peak position to be the extremum of the obtained polynomial; Sjodahl et al [15] used the algorithm by expanding the discrete correlation function in terms of a Fourier series first, followed by a numerical searching scheme to find the exact peak; Hung et al [87] and other researchers [88][89][90][91][92][93] employed a two-dimensional quadratic surface fitting of the peak and the sub-pixel displacements are defined based on the location of the maximum value of the fitting surface; and more recently, Wim et al [94] computed the subpixel displacements by simply calculating the center of mass localization of the discrete correlation matrix. The principle and implementation of peak-finding techniques for sub-pixel displacement measurement is simple, it can be done very fast.…”

Section: Peak-finding Algorithmmentioning

confidence: 99%

Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review

Pan

Kemao

Xie

et al. 2009

Meas. Sci. Technol.

2,535

1,360

View full text Add to dashboard Cite

As a practical and effective tool for quantitative in-plane deformation measurement of a planar object surface, two-dimensional digital image correlation (2D DIC) is now widely accepted and commonly used in the field of experimental mechanics. It directly provides full-field displacements to sub-pixel accuracy and full-field strains by comparing the digital images of a test object surface acquired before and after deformation. In this review, methodologies of the 2D DIC technique for displacement field measurement and strain field estimation are systematically reviewed and discussed. Detailed analyses of the measurement accuracy considering the influences of both experimental conditions and algorithm details are provided. Measures for achieving high accuracy deformation measurement using the 2D DIC technique are also recommended. Since microscale and nanoscale deformation measurement can easily be realized by combining the 2D DIC technique with high-spatial-resolution microscopes, the 2D DIC technique should find more applications in broad areas.

show abstract

“…• Window selection Selecting a suitable window shape is a common problem in both FPA [11] and DIC [30], so is selecting a suitable window size [12,13].…”

Section: Discussionmentioning

confidence: 99%

Links between fringe pattern analysis and digital image correlation: windowed, optimal, and tracking (WOT)

Kemao

2014

SPIE Proceedings

View full text Add to dashboard Cite

show abstract

A weighting window applied to the digital image correlation method

Cited by 17 publications

References 13 publications

A method of crack detection based on digital image correlation for simulated cracked tooth

A method of crack detection based on digital image correlation for simulated cracked tooth

Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review

Links between fringe pattern analysis and digital image correlation: windowed, optimal, and tracking (WOT)

Contact Info

Product

Resources

About