Difference between revisions of "Publications/geraud.04.iccvg"
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| abstract = This paper presents a morphological classifier with application to color image segmentation. The basic idea of a morphological classifier is to consider that a color histogram is a 3D gray-level image and that morphological operators can be applied to modify this image. The final objective is to extract clusters in color space, that isidentify regions in the 3D image. In this paper, we particularly focus on a powerful class of morphology-based filters called levellings to transform the 3D histogram-image to identify clusters. We also show that our method gives better results than the ones of state-of-the-art methods. |
| abstract = This paper presents a morphological classifier with application to color image segmentation. The basic idea of a morphological classifier is to consider that a color histogram is a 3D gray-level image and that morphological operators can be applied to modify this image. The final objective is to extract clusters in color space, that isidentify regions in the 3D image. In this paper, we particularly focus on a powerful class of morphology-based filters called levellings to transform the 3D histogram-image to identify clusters. We also show that our method gives better results than the ones of state-of-the-art methods. |
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| lrdeslides = http://www.lrde.epita.fr/dload/papers/iccvg04/geraud-04-iccvg-slides.pdf |
| lrdeslides = http://www.lrde.epita.fr/dload/papers/iccvg04/geraud-04-iccvg-slides.pdf |
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| lrdenewsdate = 2004-08-11 |
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abstract = <nowiki>{</nowiki>This paper presents a morphological classifier with |
abstract = <nowiki>{</nowiki>This paper presents a morphological classifier with |
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application to color image segmentation. The basic idea of |
application to color image segmentation. The basic idea of |
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Revision as of 12:14, 26 April 2016
- Authors
- Thierry Géraud, Giovanni Palma, Niels Van Vliet
- Where
- Computer Vision and Graphics---International Conference on Computer Vision and Graphics (ICCVG), Warsaw, PolandSeptember 2004
- Type
- inproceedings
- Projects
- Olena
- Date
- 2004-08-11
Abstract
This paper presents a morphological classifier with application to color image segmentation. The basic idea of a morphological classifier is to consider that a color histogram is a 3D gray-level image and that morphological operators can be applied to modify this image. The final objective is to extract clusters in color space, that isidentify regions in the 3D image. In this paper, we particularly focus on a powerful class of morphology-based filters called levellings to transform the 3D histogram-image to identify clusters. We also show that our method gives better results than the ones of state-of-the-art methods.
Documents
Bibtex (lrde.bib)
@InProceedings{ geraud.04.iccvg,
author = {Thierry G\'eraud and Giovanni Palma and Niels {Van Vliet}},
title = {Fast color image segmentation based on levellings in
feature Space},
booktitle = {Computer Vision and Graphics---International Conference on
Computer Vision and Graphics (ICCVG), Warsaw, Poland,
September 2004},
year = 2004,
series = {Computational Imaging and Vision},
volume = 32,
editor = {Kluwer Academic Publishers},
pages = {800--807},
note = {On CD.},
abstract = {This paper presents a morphological classifier with
application to color image segmentation. The basic idea of
a morphological classifier is to consider that a color
histogram is a 3D gray-level image and that morphological
operators can be applied to modify this image. The final
objective is to extract clusters in color space, that is,
identify regions in the 3D image. In this paper, we
particularly focus on a powerful class of morphology-based
filters called levellings to transform the 3D
histogram-image to identify clusters. We also show that our
method gives better results than the ones of
state-of-the-art methods.}
}