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Three-dimensional Hessian-based laser stripe centerline extraction method using spatiotemporal volume construction.

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    This study introduces a novel 3D Hessian-based method for precise laser stripe centerline detection. The approach improves accuracy and suppresses noise in linear laser measurement systems.

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    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Metrology

    Background:

    • Accurate laser stripe centerline detection is vital for linear laser measurement systems.
    • Conventional methods struggle with real-world challenges like stray light and non-uniform reflectance.
    • These limitations impact the overall precision of measurement systems.

    Purpose of the Study:

    • To develop an advanced method for robust laser stripe centerline detection.
    • To overcome limitations of existing techniques in challenging environments.
    • To enhance the accuracy and reliability of linear laser measurement systems.

    Main Methods:

    • A spatiotemporal three-dimensional Hessian-based approach is proposed.
    • The method processes a sequence of images, creating a 3D space-time volume.
    • This incorporates the temporal dimension to analyze stripe behavior over time.

    Main Results:

    • The proposed algorithm significantly enhances spatiotemporal coherence.
    • Extraction accuracy of genuine laser stripes is improved.
    • Transient noise and temporal flicker are effectively suppressed.

    Conclusions:

    • The 3D Hessian-based method offers a reliable solution for precise laser stripe detection.
    • It demonstrates superior performance compared to conventional approaches.
    • The findings contribute to advancements in optical measurement technologies.