A formal Gamma-convergence approach for the detection of points in 2-D images

Daniele Graziani; Laure Blanc-Féraud; Gilles Aubert

inria-00503152, version 1

A formal Gamma-convergence approach for the detection of points in 2-D images

Daniele Graziani () ¹, Laure Blanc-Féraud () ¹, Gilles Aubert ²

Siam Journal of Imaging Science (2010)

Résumé : We propose a new variational model to locate points in 2-dimensional biological images. 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.

1 : ARIANA (INRIA Sophia Antipolis / Laboratoire I3S)
INRIA – Université Nice Sophia Antipolis [UNS] – CNRS : UMR7271
2 : Laboratoire Jean Alexandre Dieudonné (JAD)
CNRS : UMR6621 – Université Nice Sophia Antipolis [UNS]

inria-00503152, version 1
http://hal.inria.fr/inria-00503152
oai:hal.inria.fr:inria-00503152
Contributeur : Daniele Graziani <>
Soumis le : Vendredi 16 Juillet 2010, 16:42:29
Dernière modification le : Mercredi 15 Septembre 2010, 15:22:51

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