Difference between revisions of "Publications/baillard.07.gretsi"
From LRDE
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| category = national |
| category = national |
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| address = Troyes, France |
| address = Troyes, France |
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| − | | project = Image |
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| − | | urllrde = 200705-GRETSI |
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| abstract = In this paper a new algorithm to compute the component tree is presented. As compared to the state-of-the-artthis algorithm does not use excessive memory and is able to work efficiently on images whose values are highly quantized or even with images having floating values. We also describe how it can be applied to astronomical data to identify relevant objects. |
| abstract = In this paper a new algorithm to compute the component tree is presented. As compared to the state-of-the-artthis algorithm does not use excessive memory and is able to work efficiently on images whose values are highly quantized or even with images having floating values. We also describe how it can be applied to astronomical data to identify relevant objects. |
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| lrdeslides = http://www.lrde.epita.fr/dload/papers/baillard.07.gretsi.slides.pdf |
| lrdeslides = http://www.lrde.epita.fr/dload/papers/baillard.07.gretsi.slides.pdf |
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address = <nowiki>{</nowiki>Troyes, France<nowiki>}</nowiki>, |
address = <nowiki>{</nowiki>Troyes, France<nowiki>}</nowiki>, |
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month = sep, |
month = sep, |
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| − | project = <nowiki>{</nowiki>Image<nowiki>}</nowiki>, |
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abstract = <nowiki>{</nowiki>In this paper a new algorithm to compute the component |
abstract = <nowiki>{</nowiki>In this paper a new algorithm to compute the component |
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tree is presented. As compared to the state-of-the-art, |
tree is presented. As compared to the state-of-the-art, |
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Latest revision as of 12:13, 26 April 2016
- Authors
- Anthony Baillard, Christophe Berger, Emmanuel Bertin, Thierry Géraud, Roland Levillain, Nicolas Widynski
- Where
- Proceedings of the 21st Symposium on Signal and Image Processing (GRETSI)
- Place
- Troyes, France
- Type
- inproceedings
- Keywords
- Image
- Date
- 2007-05-11
Abstract
In this paper a new algorithm to compute the component tree is presented. As compared to the state-of-the-artthis algorithm does not use excessive memory and is able to work efficiently on images whose values are highly quantized or even with images having floating values. We also describe how it can be applied to astronomical data to identify relevant objects.
Documents
Bibtex (lrde.bib)
@InProceedings{ baillard.07.gretsi,
author = {Anthony Baillard and Christophe Berger and Emmanuel Bertin
and Thierry G\'eraud and Roland Levillain and Nicolas
Widynski},
title = {Algorithme de calcul de l'arbre des composantes avec
applications \`a la reconnaissance des formes en imagerie
satellitaire},
booktitle = {Proceedings of the 21st Symposium on Signal and Image
Processing (GRETSI)},
category = {national},
year = 2007,
address = {Troyes, France},
month = sep,
abstract = {In this paper a new algorithm to compute the component
tree is presented. As compared to the state-of-the-art,
this algorithm does not use excessive memory and is able to
work efficiently on images whose values are highly
quantized or even with images having floating values. We
also describe how it can be applied to astronomical data to
identify relevant objects.}
}