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Experimental study on subaperture testing with iterative triangulation algorithm.

Lisong Yan, Xiaokun Wang, Ligong Zheng

    Optics Express
    |October 10, 2013
    PubMed
    Summary
    This summary is machine-generated.

    This study demonstrates an iterative triangulation stitching algorithm for precise optical testing. The method simplifies subaperture stitching, enabling coordinate unification for processing guidance without high-precision systems.

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    Area of Science:

    • Optical Engineering
    • Metrology
    • Surface Testing

    Background:

    • Accurate measurement of large and complex optical surfaces is challenging.
    • Subaperture testing requires precise alignment and positioning systems.
    • Integrating testing and manufacturing processes is crucial for efficiency.

    Purpose of the Study:

    • To present an iterative triangulation stitching algorithm for optical surface testing.
    • To experimentally validate the algorithm's effectiveness on various optical components.
    • To demonstrate the algorithm's capability to perform stitching without precise positioning systems.

    Main Methods:

    • Application of an iterative triangulation stitching algorithm.
    • Experimental testing of a flat mirror, an off-axis parabolic mirror, and a convex hyperboloid mirror.
    • Comparison of stitching results with self-examine subaperture testing.

    Main Results:

    • Consistent reconstruction results between stitching and subaperture testing were achieved.
    • The algorithm successfully performed subaperture stitching despite significant errors in a 5-degree-of-freedom adjustment platform.
    • Coordinate unification between testing and processing was accomplished.

    Conclusions:

    • The iterative triangulation stitching algorithm simplifies subaperture testing, eliminating the need for precise positioning systems.
    • The algorithm's ability to unify testing and processing coordinates enables direct guidance for manufacturing.
    • This method offers a robust and efficient approach for characterizing complex optical surfaces.