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

Published online by Cambridge University Press:  02 August 2007

Didier Auroux ,
Lamia Jaafar Belaid  and
Mohamed Masmoudi
Didier Auroux
Affiliation:
Institut de Mathématiques de Toulouse, UMR 5219, Université Paul Sabatier Toulouse 3, 31062 Toulouse cedex 9, France
Lamia Jaafar Belaid
Affiliation:
ENIT-LAMSIN, BP37, 1002 Tunis Belvédère, Tunisia
Mohamed Masmoudi
Affiliation:
Institut de Mathématiques de Toulouse, UMR 5219, Université Paul Sabatier Toulouse 3, 31062 Toulouse cedex 9, France
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Abstract

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

Keywords

Image classificationtopological asymptotic expansionimage restoration.
Type
Research Article
Information
ESAIM: Mathematical Modelling and Numerical Analysis , Volume 41 , Issue 3 , May 2007 , pp. 607 - 625
Copyright
© EDP Sciences, SMAI, 2007

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