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DIC measurement for large-scale structures based on adaptive warping image stitching.

Long Sun, Chen Tang, Min Xu

    Applied Optics
    |October 18, 2022
    PubMed
    Summary
    This summary is machine-generated.

    Digital Image Correlation (DIC) is enhanced for large-scale structures using adaptive warping image stitching. This method significantly improves the measurement range and accuracy of full-field strain analysis in non-contact optical mechanics.

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    Area of Science:

    • Optical Mechanics
    • Non-contact Measurement Technologies

    Background:

    • Digital Image Correlation (DIC) is a non-contact optical method for measuring displacement and deformation.
    • Current DIC methods struggle with accurate full-field strain measurement over large areas.

    Purpose of the Study:

    • To propose a novel DIC measurement method for large-scale structures.
    • To overcome the limitations of existing DIC techniques in wide-field strain analysis.

    Main Methods:

    • Collecting multiple high-resolution images of large-scale structures.
    • Stitching images using an adaptive warping algorithm to create a panoramic view.
    • Applying DIC algorithms to the stitched panoramic image for deformation analysis.

    Main Results:

    • Numerical simulations confirmed feasibility of image matching and fusion.
    • Experiments demonstrated improved accuracy and robustness for rigid body translation and three-point bending.
    • Significant enhancement in the measurement range of DIC was achieved.

    Conclusions:

    • The proposed adaptive warping image stitching DIC method effectively extends measurement range for large-scale structures.
    • This approach enhances the applicability of DIC in scenarios requiring wide-field strain analysis.
    • The method offers a robust solution for accurate full-field deformation measurement.