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EN
Digital volume correlation is an image-based technique for internal 3D displacement and strain fields measurement or analysis widely used in the field of experimental mechanics. A widely used correlation function (criterion) of digital volume correlation is Pearson correlation function, which suffers from the problem of the acquired data being contaminated by salt-and-pepper noise and monotonic nonlinear distortion of the light intensity. In this work, a 3D correlation function called the Spearman correlation function is used to deal with those interferences. A numerical experiment shows that the performance of Spearman correlation function using integer-pixel registration in an environment with 10% salt-and-pepper noise is better than that of Spearman and Pearson correlation functions using sub-pixel registration in an environment with 1% salt-and-pepper noise. As the light intensity distortion is significant, the error of Pearson correlation function is considerable; meanwhile, the error of Spearman correlation function is small. In conclusion, Spearman correlation function is, in particular, practical and useful in digital volume correlation.
PL
W artykule opisano autorski algorytm usuwania szumu typu pieprz i sól, który porównano z wybranymi, opisanymi w literaturze metodami filtracji zobrazowań radarowych. Zaprezentowano materiał porównawczy ilustrujący efekty przetwarzania.
EN
The paper describes an algorithm for removing salt and pepper noise. It is compared with the different filtration methods of radar imagery described in the literature. Reference material illustrating processing effects, are presented.
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