This thesis addresses the digital image correlation (DIC) method for determining displacement and strain fields based on grayscale values from an image sequence. A dedicated correlation workflow was developed in Wolfram Mathematica, with subset matching evaluated using the ZNSSD criterion. The algorithm was validated on synthetically deformed images with predefined reference parameters for translation and stretching, enabling direct error quantification. The results of the basic approach without interpolation captured the expected trends, yet exhibited limited accuracy due to integer-pixel displacement estimates. With the introduction of sub-pixel procedures and a comparison against the MatchID software, the consistency of the computed results was confirmed and the key influences of analysis parameters were identified.
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