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

Daniele Graziani 1 Laure Blanc-Féraud 1 Gilles Aubert 2
1 ARIANA - Inverse problems in earth monitoring
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SIS - Signal, Images et Systèmes
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.
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https://hal.inria.fr/inria-00401570
Contributor : Daniele Graziani <>
Submitted on : Saturday, July 18, 2009 - 7:00:03 AM
Last modification on : Tuesday, December 8, 2020 - 9:39:35 AM
Long-term archiving on: : Tuesday, June 15, 2010 - 6:00:55 PM

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  • HAL Id : inria-00401570, version 1

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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⟩

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