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
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- 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.} }