New Numerical Technique for Non-destructive Testing of the Conductive Materials
نویسنده
چکیده
The image reconstruction is an ill-posed inverse problem of finding such internal impedivity distribution that minimizes certain optimization criteria. The optimization necessitates algorithms that impose regularization and some prior information constraint. The regularization techniques vary in their complexity. This paper proposes new variants of the regularization techniques to be used for the acquirement of more accurate reconstruction results and the possibility of the applying differential evolution algorithms in an optimization process. DOI: 10.2529/PIERS061006093457
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