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Higher order based image deconvolution in electromagnetic non destructive evaluation of metallic materials
Pietro Burrascano, Matteo Cacciola, Francesco Carlo Morabito, Marco Ricci
125 - 132
10.3233/978-1-60750-692-8-125
Frontiers in Artificial Intelligence and Applications
Volume 226: Neural Nets WIRN10
Abstract

We present a non-destructive magnetic imaging technique developed for the evaluation of hot-rolled stainless steel. Starting from measurements of magnetic field carried out by means of a Hall probe array, magnetic images of sample surfaces are attained. In order to enhance the signal to noise ratio and to detect defects, we have implemented some image processing protocols. In particular we report the contextual application of Independent Component Analysis and Wiener filter to the image deconvolution task focusing on the advantages that such approach assures.

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