Segmentation d'objets curvilignes à l'aide des champs de Markov sur un graphe d'adjacence de courbes issu de l'algorithme de la ligne de partage des eaux
From LRDE
The printable version is no longer supported and may have rendering errors. Please update your browser bookmarks and please use the default browser print function instead.
- Authors
- Thierry Géraud
- 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
- 2003-06-01
Abstract
This paper presents a general framework to segment curvilinear objects in 2D images. A pre-processing step relies on mathematical morphology to obtain a connected line which encloses curvilinear objects. Then, a graph is constructed from this line and a Markovian Random Field is defined to perform objects segmentation. Applications of our framework are numerous: they go from simple surve segmentation to complex road network extraction in satellite images.
Bibtex (lrde.bib)
@InProceedings{ geraud.03.icisp,
author = {Thierry G\'eraud},
title = {Segmentation d'objets curvilignes \`a l'aide des champs de
Markov sur un graphe d'adjacence de courbes issu de
l'algorithme de la ligne de partage des eaux},
booktitle = {Proceedings of the International Conference on Image and
Signal Processing (ICISP)},
year = 2003,
volume = 2,
pages = {404--411},
address = {Agadir, Morocco},
month = jun,
publisher = {Faculty of Sciences at Ibn Zohr University, Morocco},
note = {In French},
abstract = {This paper presents a general framework to segment
curvilinear objects in 2D images. A pre-processing step
relies on mathematical morphology to obtain a connected
line which encloses curvilinear objects. Then, a graph is
constructed from this line and a Markovian Random Field is
defined to perform objects segmentation. Applications of
our framework are numerous: they go from simple surve
segmentation to complex road network extraction in
satellite images.}
}