Difference between revisions of "Publications/geraud.01.icisp"
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{{Publication |
{{Publication |
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| date = 2001-05-01 |
| date = 2001-05-01 |
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| authors = Thierry Géraud, Pierre-Yves Strub, Jérôme Darbon |
| authors = Thierry Géraud, Pierre-Yves Strub, Jérôme Darbon |
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| publisher = Faculty of Sciences at Ibn Zohr University, Morocco |
| publisher = Faculty of Sciences at Ibn Zohr University, Morocco |
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| note = In French |
| note = In French |
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+ | | lrdeprojects = Olena |
| − | | urllrde = 200105-Icisp |
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| abstract = In this paper, we present an original method to segment color images using a classification of the image histogram in the 3D color space. As color modes in natural images usually do not fit a well-known statistical model, we propose a classifier that rely on mathematical morphology and, more particularly, on the watershed algorithm. We show on various images that the expected color modes are correctly identified and, in order to obtain coherent region, we extend the method to make the segmentation contextual. |
| abstract = In this paper, we present an original method to segment color images using a classification of the image histogram in the 3D color space. As color modes in natural images usually do not fit a well-known statistical model, we propose a classifier that rely on mathematical morphology and, more particularly, on the watershed algorithm. We show on various images that the expected color modes are correctly identified and, in order to obtain coherent region, we extend the method to make the segmentation contextual. |
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| lrdepaper = http://www.lrde.epita.fr/dload/papers/icisp01.pdf |
| lrdepaper = http://www.lrde.epita.fr/dload/papers/icisp01.pdf |
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publisher = <nowiki>{</nowiki>Faculty of Sciences at Ibn Zohr University, Morocco<nowiki>}</nowiki>, |
publisher = <nowiki>{</nowiki>Faculty of Sciences at Ibn Zohr University, Morocco<nowiki>}</nowiki>, |
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note = <nowiki>{</nowiki>In French<nowiki>}</nowiki>, |
note = <nowiki>{</nowiki>In French<nowiki>}</nowiki>, |
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| − | project = <nowiki>{</nowiki>Image<nowiki>}</nowiki>, |
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abstract = <nowiki>{</nowiki>In this paper, we present an original method to segment |
abstract = <nowiki>{</nowiki>In this paper, we present an original method to segment |
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color images using a classification of the image histogram |
color images using a classification of the image histogram |
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correctly identified and, in order to obtain coherent |
correctly identified and, in order to obtain coherent |
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region, we extend the method to make the segmentation |
region, we extend the method to make the segmentation |
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| − | contextual.<nowiki>}</nowiki> |
+ | contextual.<nowiki>}</nowiki> |
| − | lrdekeywords = <nowiki>{</nowiki>Image<nowiki>}</nowiki> |
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<nowiki>}</nowiki> |
<nowiki>}</nowiki> |
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Latest revision as of 18:57, 4 January 2018
- Authors
- Thierry Géraud, Pierre-Yves Strub, Jérôme Darbon
- Where
- Proceedings of the International Conference on Image and Signal Processing (ICISP)
- Place
- Agadir, Morocco
- Type
- inproceedings
- Publisher
- Faculty of Sciences at Ibn Zohr University, Morocco
- Projects
- Olena
- Keywords
- Image
- Date
- 2001-05-01
Abstract
In this paper, we present an original method to segment color images using a classification of the image histogram in the 3D color space. As color modes in natural images usually do not fit a well-known statistical model, we propose a classifier that rely on mathematical morphology and, more particularly, on the watershed algorithm. We show on various images that the expected color modes are correctly identified and, in order to obtain coherent region, we extend the method to make the segmentation contextual.
Documents
Bibtex (lrde.bib)
@InProceedings{ geraud.01.icisp,
author = {Thierry G\'eraud and Pierre-Yves Strub and J\'er\^ome
Darbon},
title = {Segmentation d'images en couleur par classification
morphologique non supervis\'ee},
booktitle = {Proceedings of the International Conference on Image and
Signal Processing (ICISP)},
year = 2001,
pages = {387--394},
address = {Agadir, Morocco},
month = may,
publisher = {Faculty of Sciences at Ibn Zohr University, Morocco},
note = {In French},
abstract = {In this paper, we present an original method to segment
color images using a classification of the image histogram
in the 3D color space. As color modes in natural images
usually do not fit a well-known statistical model, we
propose a classifier that rely on mathematical morphology
and, more particularly, on the watershed algorithm. We show
on various images that the expected color modes are
correctly identified and, in order to obtain coherent
region, we extend the method to make the segmentation
contextual.}
}