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| HAL: inria-00503157, version 1 |
| See detailed view |  BibTeX,EndNote,... |
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| COCV: Esaim Control Optimization and Calculus of Variations (2010) 23p. |
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| Variational approximation for detecting point-like target problems |
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| Gilles Aubert 1Daniele Graziani 2 |
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| (2010) |
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| 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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| 1: | Laboratoire Jean Alexandre Dieudonné (JAD) |
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CNRS : UMR6621 – Université Nice Sophia Antipolis [UNS] |
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| 2: | ARIANA (INRIA Sophia Antipolis / Laboratoire I3S) |
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INRIA – Université Nice Sophia Antipolis [UNS] – CNRS : UMR7271 |
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| Domain | : | Computer Science/Image Processing |
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| inria-00503157, version 1 | |
| http://hal.inria.fr/inria-00503157 | |
| oai:hal.inria.fr:inria-00503157 | |
| From: Daniele Graziani | |
| Submitted on: Friday, 16 July 2010 16:57:55 | |
| Updated on: Friday, 16 July 2010 18:17:28 | |
