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Journal Articles ESAIM: Control, Optimisation and Calculus of Variations Year : 2010

Variational approximation for detecting point-like target problems

Abstract

The aim of this paper is to provide a rigorous variational formulation for the detection of points in $2$-d biological images. To this purpose we introduce a new functional whose minimizers give the points we want to detect. Then we define an approximating sequence of functionals for which we prove the Gamma-convergence to the initial one.
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Dates and versions

inria-00503157 , version 1 (16-07-2010)

Identifiers

  • HAL Id : inria-00503157 , version 1

Cite

Gilles Aubert, Daniele Graziani. Variational approximation for detecting point-like target problems. ESAIM: Control, Optimisation and Calculus of Variations, 2010, 23p. ⟨inria-00503157⟩
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