Difference between revisions of "Publications/berger.07.icip"
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| volume = 4 |
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| address = San Antonio, TX, USA |
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| − | | urllrde = 200705-ICIP |
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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/berger.07.icip.slides.pdf |
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| + | | lrdepaper = http://www.lrde.epita.fr/dload/papers/berger.07.icip.pdf |
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| lrdekeywords = Image |
| lrdekeywords = Image |
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| lrdenewsdate = 2007-05-03 |
| lrdenewsdate = 2007-05-03 |
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address = <nowiki>{</nowiki>San Antonio, TX, USA<nowiki>}</nowiki>, |
address = <nowiki>{</nowiki>San Antonio, TX, USA<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 18:55, 4 January 2018
- Authors
- Christophe Berger, Thierry Géraud, Roland Levillain, Nicolas Widynski, Anthony Baillard, Emmanuel Bertin
- Where
- Proceedings of the IEEE International Conference on Image Processing (ICIP)
- Place
- San Antonio, TX, USA
- Type
- inproceedings
- Keywords
- Image
- Date
- 2007-05-03
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{ berger.07.icip,
author = {Christophe Berger and Thierry G\'eraud and Roland
Levillain and Nicolas Widynski and Anthony Baillard and
Emmanuel Bertin},
title = {Effective Component Tree Computation with Application to
Pattern Recognition in Astronomical Imaging},
booktitle = {Proceedings of the IEEE International Conference on Image
Processing (ICIP)},
pages = {41--44},
volume = 4,
year = 2007,
address = {San Antonio, TX, USA},
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.}
}