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A multiple wavelength unwrapping algorithm for digital fringe profilometry based on spatial shift estimation

Conference Paper


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Abstract


  • In this paper, a new approach is presented for solving the problem of spatial shift wrapping associated with Spatial Shift Estimation (SSE)-based Fringe Pattern Profilometry (FPP). The problem arises as the result of fringe reuse (that is, fringes periodic light intensity variance), and the spatial shift can only be identified without ambiguity with the range of a fringe width. It is demonstrated that the problem is similar to the phase unwrapping problem associated with the phase detection based FPP, and the proposed method is inspired by the existing ideas of using multiple images with different wavelengths proposed for phase unwrapping. The effectiveness of the proposed method is verified by experimental results on an object with complex surface shape. © 2014 SPIE.

Publication Date


  • 2014

Citation


  • P. Cao, J. Xi, Y. Yu & Q. Guo, "A multiple wavelength unwrapping algorithm for digital fringe profilometry based on spatial shift estimation," in Proceedings of SPIE 9013: Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2014, 2014, pp. 90130E-1-90130E-10.

Scopus Eid


  • 2-s2.0-84901778969

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3740&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/2731

Has Global Citation Frequency


Start Page


  • 90130E-1

End Page


  • 90130E-10

Place Of Publication


  • United States

Abstract


  • In this paper, a new approach is presented for solving the problem of spatial shift wrapping associated with Spatial Shift Estimation (SSE)-based Fringe Pattern Profilometry (FPP). The problem arises as the result of fringe reuse (that is, fringes periodic light intensity variance), and the spatial shift can only be identified without ambiguity with the range of a fringe width. It is demonstrated that the problem is similar to the phase unwrapping problem associated with the phase detection based FPP, and the proposed method is inspired by the existing ideas of using multiple images with different wavelengths proposed for phase unwrapping. The effectiveness of the proposed method is verified by experimental results on an object with complex surface shape. © 2014 SPIE.

Publication Date


  • 2014

Citation


  • P. Cao, J. Xi, Y. Yu & Q. Guo, "A multiple wavelength unwrapping algorithm for digital fringe profilometry based on spatial shift estimation," in Proceedings of SPIE 9013: Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2014, 2014, pp. 90130E-1-90130E-10.

Scopus Eid


  • 2-s2.0-84901778969

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3740&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/2731

Has Global Citation Frequency


Start Page


  • 90130E-1

End Page


  • 90130E-10

Place Of Publication


  • United States