We present an image segmentation method which may be applied to various tasks such as natural segmentation of monochromatic or color, three dimensional seismic or scanner images . Our algorithme is based on the region growing principle. Its originality lies on optimising the use of a sequence of criteria . We separate the common strategy of using segmentation criteria from the task specific definition of those criteria . This separation between algorithm and mathematical aspects of our method provides for its generality . Experiments results are shown .L'algorithme procède par croissance de régions. Son originalité repose sur l'optimisation d'une suite de critères emboité
Last decades have witnessed an unprecedented expansion of medical data in various largescale and com...
We address the issue of low-level segmentation of color images. The proposed approach is based on th...
After some reminders on the notion of a set connection, a formal definition of image segmentation is...
We present a new image segmentation algorithm for hyper-spectral images that are supposed to be piec...
La segmentation d'image est le processus de partitionnement d'une image en régions plus petites, non...
International audienceAccurately segmenting MRI images is crucial for many clinical applications. Ho...
National audienceThe goal of image segmentation is to create homogeneous regions using a criterion d...
- Nous proposons dans cet article un algorithme permettant d'obtenir des régions floues à partir d'i...
This paper presents a region-based segmentation algorithm which can be applied to various problems s...
People and most animals have a natural ability to see the world and understand it effortlessly. The ...
Le traitement d’images est un axe de recherche très actif depuis des années. L’interprétation des im...
Cette thèse est proposée en deux parties. Une première partie se concentre sur la segmentation d’ima...
Ce papier introduit une nouvelle méthode de segmentation d'image selon une grille de régions rectang...
In this paper, a color image segmentation method based on a new approach called bimarginal is propos...
This paper focuses on the problem of image segmentation . It adresses the inherent deficiencies occu...
Last decades have witnessed an unprecedented expansion of medical data in various largescale and com...
We address the issue of low-level segmentation of color images. The proposed approach is based on th...
After some reminders on the notion of a set connection, a formal definition of image segmentation is...
We present a new image segmentation algorithm for hyper-spectral images that are supposed to be piec...
La segmentation d'image est le processus de partitionnement d'une image en régions plus petites, non...
International audienceAccurately segmenting MRI images is crucial for many clinical applications. Ho...
National audienceThe goal of image segmentation is to create homogeneous regions using a criterion d...
- Nous proposons dans cet article un algorithme permettant d'obtenir des régions floues à partir d'i...
This paper presents a region-based segmentation algorithm which can be applied to various problems s...
People and most animals have a natural ability to see the world and understand it effortlessly. The ...
Le traitement d’images est un axe de recherche très actif depuis des années. L’interprétation des im...
Cette thèse est proposée en deux parties. Une première partie se concentre sur la segmentation d’ima...
Ce papier introduit une nouvelle méthode de segmentation d'image selon une grille de régions rectang...
In this paper, a color image segmentation method based on a new approach called bimarginal is propos...
This paper focuses on the problem of image segmentation . It adresses the inherent deficiencies occu...
Last decades have witnessed an unprecedented expansion of medical data in various largescale and com...
We address the issue of low-level segmentation of color images. The proposed approach is based on th...
After some reminders on the notion of a set connection, a formal definition of image segmentation is...