Abstract : We propose a new variational model 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. In order to provide numerical experiments we replace this energy with a sequence of a more treatable functionals by means of the notion of $\Gamma$-convergence.
https://hal.inria.fr/inria-00418526
Contributeur : Daniele Graziani
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Soumis le : samedi 19 septembre 2009 - 16:41:35
Dernière modification le : lundi 5 novembre 2018 - 15:52:01
Document(s) archivé(s) le : mardi 15 juin 2010 - 19:55:23
Daniele Graziani, Laure Blanc-Féraud, Gilles Aubert. A formal $\Gamma$-convergence approach for the detection of points in $2$-D images. [Research Report] RR-7038, INRIA. 2009, pp.25. 〈inria-00418526〉
