The results demonstrate that the proposed algorithm achieves higher accuracy than the traditional DIC. Laboratory experiments performed on a substrate also ...

The selection of subset size is of great importance to the accuracy of digital image correlation (DIC). In the traditional DIC, a constant subset size is ...

Dec 9, 2024 · The proposed DSS algorithm uses the local pattern around the point of interest to calculate a parameter called the Intensity Variation Ratio (Λ) ...

Wenzhuo Zhang, Rong Zhou, Yuan-Wen Zou: Self-adaptive and Bidirectional Dynamic Subset Selection Algorithm for Digital Image Correlation. J. Inf. Process.

Missing: Bidirectional | Show results with:Bidirectional

Subset selection is always a crucial part of DIC technique as it has a large impact on the resolution and accuracy of overall results. In traditional DIC with ...

This paper proposes a fatigue crack evaluation technique based on digital image correlation (DIC) with statistically optimized adaptive subsets.

Dec 27, 2024 · Self-adaptive and Bidirectional Dynamic Subset Selection Algorithm for Digital Image Correlation. Article. Jan 2017. W. Zhang · R. Zhou · Y. Zou.

Sep 9, 2019 · This paper systematically summarizes the important improvements in terms of efficiency and accuracy of the 2D-DIC algorithms over the last two decades.

This paper proposes a fatigue crack evaluation technique based on digital image correlation (DIC) with statistically optimized adaptive subsets.