Huimin Xie

TL;DR: In this article, a review of the 2D digital image correlation (2D DIC) technique for displacement field measurement and strain field estimation is presented, and detailed analyses of the measurement accuracy considering the influences of both experimental conditions and algorithm details are provided.

TL;DR: In this article, a simple and easy-to-calculate yet effective global parameter, called mean intensity gradient, is proposed for quality assessment of the speckle patterns used in DIC.

TL;DR: In this article, a more general and practical intensity change model is employed with consideration of the linear intensity change of the deformed image, followed by an iterative least squares algorithm for calculating displacement field with sub-pixel accuracy.

TL;DR: This paper focuses on three robust and most widely used correlation criteria, i.e., a zero-mean normalized cross-correlation (ZNCC) criterion, a Zero normalized sum of squared difference criterion, and a parametric sum of squares difference (PSSD(ab) criterion with two additional unknown parameters, since they are insensitive to the scale and offset changes of the target subset intensity and have been highly recommended for practical use in literature.

TL;DR: In this article, the quality of the speckle pattern used in digital image correlation is studied using a parameter called mean subset fluctuation, which is used to measure the mean bias error of the calculated displacement.