Regularized Phase Tracking using fixed-point for fringe patterns demodulation
DOI:
https://doi.org/10.21640/ns.v14i29.3138Keywords:
fringe analysys, phase demodulation, regularized phase tracking, cost functional, optimization, fixed point, BFGS, numerical performance, inverse problems, patterns, minimizationAbstract
The objective of fringe pattern analysis is to extract modulated experimental information in an image. Among the techniques used in the demodulation process is the Regularized Phase Tracking. In this technique, a functional is proposed which is usually solved with classical minimization methods. This paper presents a minimization method for this technique using the fixed-point technique, which presents a normalized error like classical minimization methods, but with a notable reduction in processing time.
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