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A $\Gamma$-convergence approach for the detection of points in $2$-D images
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.
Cited literature [1 references]
https://hal.inria.fr/inria-00401570
Contributor : Daniele Graziani Connect in order to contact the contributor
Submitted on : Saturday, July 18, 2009 - 7:00:03 AM
Last modification on : Thursday, February 3, 2022 - 11:15:00 AM
Long-term archiving on: : Tuesday, June 15, 2010 - 6:00:55 PM
Contributor : Daniele Graziani Connect in order to contact the contributor
Submitted on : Saturday, July 18, 2009 - 7:00:03 AM
Last modification on : Thursday, February 3, 2022 - 11:15:00 AM
Long-term archiving on: : Tuesday, June 15, 2010 - 6:00:55 PM
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6978.pdf
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