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Implementation of MAD and Mean Absolute Deviation based Smoothing Algorithm for Displacement Data in Digital Image Correlation Technique

Abstract

This study aims at obtaining smoothed strain fields from digital image correlation technique (DIC), by smoothing the displacement fields prior to strain computation. Both median absolute deviation (MAD) and mean absolute deviation based smoothing algorithms are implemented for data smoothing. On implementation of these algorithms, the noise levels in the strain fields are found to be reduced to a greater extent. For executing the whole field smoothing algorithm, an accurate boundary encoding algorithm is also developed

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