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A topological asymptotic analysis for the regularized grey-level image classification problem

Didier AurouxLamia Jaafar BelaidMohamed Masmoudi — 2007

ESAIM: Mathematical Modelling and Numerical Analysis

The aim of this article is to propose a new method for the grey-level image classification problem. We first present the classical variational approach without and with a regularization term in order to smooth the contours of the classified image. Then we present the general topological asymptotic analysis, and we finally introduce its application to the grey-level image classification problem.

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