Abstract

In this paper we present a novel algorithm for phase unwrapping where only a subset of data from the wrapped phase map is used to reconstruct the unwrapped phase map as a linear combination of radial basis functions (RBF’s). For noisy phase maps this algorithm gives better results than three reference algorithms based on radial basis functions, Zernike polynomials and path dependent phase unwrapping strategies.

Highlights

  • Alaniz-LumbrerasUnidad Academica de Ingenierıa Electrica, Universidad Autonoma de Zacatecas, Antiguo Camino a la Bufa No 1, Col. Centro

  • Interferometric methods are widely used to measure physical magnitudes such as deformation, stress, temperature, etc. [1, 2] in a non destructive and non invasive way

  • In this paper we propose a regular grid of a linear combination of gaussian basis functions (RBF’s) applied to unwrap the phase

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Summary

Alaniz-Lumbreras

Unidad Academica de Ingenierıa Electrica, Universidad Autonoma de Zacatecas, Antiguo Camino a la Bufa No 1, Col. Centro. 98000, Zacatecas, Zac. Mexico Unidad Academica de Ingenierıa Electrica, Universidad Autonoma de Zacatecas, Antiguo Camino a la Bufa No 1, Col. Centro.

INTRODUCTION
RELATIONSHIP BETWEEN WRAPPED
SAMPLED RADIAL BASIS FUNCTIONS FOR PHASE UNWRAPPING
Test for path independence
SPATIAL DISTRIBUTION OF RBF’S FOR PHASE RECOVERING
EXPERIMENTAL RESULTS
Method
CONCLUSIONS
Full Text
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