Abstract : In this report we propose a new variational method to isolate points in a $2$-dimensional image. To this purpose we introduce a suitable functional whose minimizers are given by the points we want to detect. Then in order to provide numerical experiments we approximate this energy by means of a sequence of more treatable functionals by using a $\Gamma$-convergence approach.
https://hal.inria.fr/inria-00401570
Contributeur : Daniele Graziani
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Soumis le : samedi 18 juillet 2009 - 07:00:03
Dernière modification le : mercredi 31 janvier 2018 - 10:24:04
Document(s) archivé(s) le : mardi 15 juin 2010 - 18:00:55
Daniele Graziani, Laure Blanc-Féraud, Gilles Aubert. A $\Gamma$-convergence approach for the detection of points in $2$-D images. [Research Report] RR-6978, INRIA. 2008. 〈inria-00401570〉
