3D surface reconstruction by vector nonlinear Markov filtering of white-light interference fringe visibility

Igor P. Gurov; Adalet N. Djabiev

doi:10.1117/12.336832

19 January 1999 3D surface reconstruction by vector nonlinear Markov filtering of white-light interference fringe visibility

Igor P. Gurov, Adalet N. Djabiev

Author Affiliations +

Proceedings Volume 3568, Optical Biopsies and Microscopic Techniques III; (1999) https://doi.org/10.1117/12.336832
Event: BiOS Europe '98, 1998, Stockholm, Sweden

Abstract

Interferometric radar technique with low-coherent illumination provides comparatively large range of measurement definition by interference fringes visibility maxima location. The problem is that the interference fringes are often distorted by noise of speckles. Noise influence can be decreased by new method based on Markov theory of stochastic processes. Interferometric data are assumed to be a realization of random series of phase-shifting samples of vector signal with known stochastic properties. The processing algorithm gives the optimal assessment of vector of interference signal parameters, including visibility maximum position, on each point of phase shifting by the recurrence procedure of data processing.

Citation Download Citation

Igor P. Gurov and Adalet N. Djabiev "3D surface reconstruction by vector nonlinear Markov filtering of white-light interference fringe visibility", Proc. SPIE 3568, Optical Biopsies and Microscopic Techniques III, (19 January 1999); https://doi.org/10.1117/12.336832

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