2008, English, Article edition: A $\Gamma$-convergence approach for the detection of points in $2$-D images Graziani, Daniele; Blanc-Féraud, Laure; Aubert, Gilles

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Bookmark: http://trove.nla.gov.au/version/209809
Physical Description
  • text
Published
  • HAL - CCSD
  • 2008
Language
  • English

Edition details

Title
  • A $\Gamma$-convergence approach for the detection of points in $2$-D images
Author
  • Graziani, Daniele
  • Blanc-Féraud, Laure
  • Aubert, Gilles
Published
  • HAL - CCSD
  • 2008
Physical Description
  • text
Subjects
Notes
  • HAL:inria-00379142, version 2
  • HAL:http:/​/​hal.inria.fr/​inria-00379142/​en/​
  • 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.
  • HAL:inria-00401570, version 1
  • HAL:http:/​/​hal.inria.fr/​inria-00401570/​en/​
Language
  • English
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