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Abstract: We present a new method using Bayesian probability theory and neural networks for the evaluation of speckle interference patterns for an automated analysis of deformation and erosion measurements. The method is applied to the fringe pattern reconstruction of speckle measurements with a TwymanGreen interferometer. Given a binary speckle image, the method returns the fringe pattern without noise, thus removing the need for smoothing and allowing a straight-forward unwrapping procedure and... (Update)
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BibTeX entry: (Update)
@misc{ toussaint-bayesian,
author = "Udo v. Toussaint and Silvio Gori and Volker Dose",
title = "Bayesian Neural Networks Based Evaluation of Binary Speckle Data",
url = "citeseer.ist.psu.edu/toussaint04bayesian.html" }
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