Evaluation of the quality of a speckle pattern in the digital image correlation method by mean subset fluctuation

Abstract

The quality of the speckle pattern used in digital image correlation is studied in this paper using a parameter called mean subset fluctuation. A numerical translation test is performed on four speckle patterns captured from actual experiments. The translated images are analyzed and the results show that the mean bias error of the calculated displacement is linear with the value of the mean subset fluctuation. The results from the numerical calculation illustrate that speckle size and density have an influence on the quality of speckle pattern.