Digital Image Correlation (DIC) is increasingly used in civil engineering; however, measurement accuracy depends heavily on specimen preparation, stochastic pattern quality, and imaging parameters. The present study seeks to optimize DIC image acquisition and enhance measurement repeatability. Direct and indirect geometry molds were produced using FDM 3D printing and silicone casting to promote a more sustainable manufacturing process. Stereo-camera measurements were conducted with the ARAMIS system across various measurement ranges to determine the relationships among speckle size, pixel size, and acquisition parameters. Contour-based image analysis with a fixed grayscale threshold was employed to quantitatively assess the stochastic pattern via the coated surface fill ratio. The findings indicate that FS = 15 (Facet Size) and PD = 1 (Point Distance) constitute the optimal parameter combination, yielding the highest fill ratio while maintaining small surface discontinuities. The proposed workflow enhances measurement efficiency, repeatability, and reliability, offering practical guidance for DIC-based concrete testing.