Parametric Evaluation of Errors Using Isolated Dots for Movement Measurement by Image Cross-Correlation
AbstractDigital Image Correlation (DIC) is a common tool for assessing the movement of objects in a scene. Among others, one of the most popular techniques consists of tracking a dotted texture imitating speckle patterns. In this work, we analyzed the individual dots that form this pattern in order to propose an optimum size, shape, and dynamic range that allows minimizing the tracking error. Tracking was accomplished by using normalized cross-correlation with peak interpolation in order to obtain subpixel accuracy. For the models here used, we show that dot radii of 30–40 px with 150 gray levels are enough to obtain an accurate subpixel tracking resolution. Also, we show that 0.002 px is the performance limit of this technique, being this limit in accordance with the experimentally achievable subpixel limit. View Full-Text
Externally hosted supplementary file 1
Description: Matlab code for generating the tracking tests
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Ferrer, B.; Mas, D. Parametric Evaluation of Errors Using Isolated Dots for Movement Measurement by Image Cross-Correlation. Sensors 2018, 18, 525.
Ferrer B, Mas D. Parametric Evaluation of Errors Using Isolated Dots for Movement Measurement by Image Cross-Correlation. Sensors. 2018; 18(2):525.Chicago/Turabian Style
Ferrer, Belen; Mas, David. 2018. "Parametric Evaluation of Errors Using Isolated Dots for Movement Measurement by Image Cross-Correlation." Sensors 18, no. 2: 525.
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