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3D robust digital image correlation for vibration measurement.

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    This study introduces two robust 3D digital image correlation (3D-DIC) methods, SSD-robust and SWD-robust, to improve vibration measurement accuracy. These methods enhance correspondence by reducing speckle image noise, making them suitable for various noise levels.

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    Area of Science:

    • Mechanical Engineering
    • Optical Measurement
    • Signal Processing

    Background:

    • Speckle image discrepancies from varying viewing angles hinder accurate 3D digital image correlation (3D-DIC) in vibration measurements.
    • Traditional methods struggle with abnormal pixel data, impacting measurement reliability.

    Purpose of the Study:

    • To develop robust 3D-DIC methods for vibration measurement that overcome viewing angle discrepancies and image noise.
    • To enhance the precision and reliability of dynamic measurements using 3D-DIC.

    Main Methods:

    • Introduced two robust 3D-DIC methods: SSD-robust (Sum of Square Difference estimator with Geman-McClure regularization) and SWD-robust (Welch estimator with Geman-McClure regularization).
    • Employed a Geman-McClure regulating term with an adaptive rejecting bound to mitigate the influence of abnormal pixel data.
    • Conducted experiments using a dual-frequency laser interferometer for robustness and precision evaluation.

    Main Results:

    • Both SSD-robust and SWD-robust methods effectively suppressed abnormalities in speckle images.
    • The robust estimators maintained higher precision in vibration measurement compared to the traditional SSD method.
    • SWD-robust is suitable for weak image noise, while SSD-robust is effective for strong image noise.

    Conclusions:

    • The proposed SSD-robust and SWD-robust methods significantly improve the accuracy and robustness of 3D-DIC for vibration measurement.
    • These methods offer practical solutions for dynamic measurements affected by image noise and viewing angle variations.