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An object image edge detection based quality-guided phase unwrapping approach for fast three-dimensional measurement

Conference Paper


Abstract


  • A new approach for achieving fast and reliable

    unwrapping of complex phase maps is presented for phase

    shifted based three-dimensional (3D) Fringe pattern

    profilometry (FPP). As phase unwrapping errors are often

    caused by shadows on fringe patterns images and object surface

    discontinuities, we propose to identify both of them. An image of

    the object is acquired by averaging the fringe patterns reflected

    from the object surface, based on which shadow areas and the

    phase discontinuities are identified. When carrying out phase

    unwrapping, the shadow areas and the edge pixels will be

    isolated, and then the remaining areas are unwrapped by means

    of an efficient technique proposed below. All the remaining

    pixels are then unwrapped by an efficient technique proposed,

    by which, the computational efficiency can be significantly

    improved. As proven by the experiment results, the proposed

    approach is able to implement fast and reliable phase

    unwrapping.

Publication Date


  • 2013

Citation


  • K. Chen, J. Xi, L. Song & Y. Yu, "An object image edge detection based quality-guided phase unwrapping approach for fast three-dimensional measurement," in 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2013, pp. 571-576.

Scopus Eid


  • 2-s2.0-84883663514

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1251

Has Global Citation Frequency


Start Page


  • 571

End Page


  • 576

Place Of Publication


  • United States

Abstract


  • A new approach for achieving fast and reliable

    unwrapping of complex phase maps is presented for phase

    shifted based three-dimensional (3D) Fringe pattern

    profilometry (FPP). As phase unwrapping errors are often

    caused by shadows on fringe patterns images and object surface

    discontinuities, we propose to identify both of them. An image of

    the object is acquired by averaging the fringe patterns reflected

    from the object surface, based on which shadow areas and the

    phase discontinuities are identified. When carrying out phase

    unwrapping, the shadow areas and the edge pixels will be

    isolated, and then the remaining areas are unwrapped by means

    of an efficient technique proposed below. All the remaining

    pixels are then unwrapped by an efficient technique proposed,

    by which, the computational efficiency can be significantly

    improved. As proven by the experiment results, the proposed

    approach is able to implement fast and reliable phase

    unwrapping.

Publication Date


  • 2013

Citation


  • K. Chen, J. Xi, L. Song & Y. Yu, "An object image edge detection based quality-guided phase unwrapping approach for fast three-dimensional measurement," in 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2013, pp. 571-576.

Scopus Eid


  • 2-s2.0-84883663514

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1251

Has Global Citation Frequency


Start Page


  • 571

End Page


  • 576

Place Of Publication


  • United States