Segmentation d'IRM cérébrales multidimensionnelles par coupe de graphe. (Multidimensionnal Brain MRI segmentation using graph cuts)

Segmentation d'IRM cérébrales multi-séquences et application à la sclérose en plaques. (Segmentation of multi-sequence brain mri and application to multiple slerosis)

Track and Cut: Simultaneous Tracking and Segmentation of Multiple ObjectS with Graph Cuts

This paper presents a new method to both track and segment multiple objects in videos using min-cut/max-flow optimizations. We introduce objective functions that combine low-level pixelwise measures (color, motion), high-level observations obtained via an independent detection module, motion prediction and contrast-sensitive contextual regularization. One novelty is that external observations a...

Segmentation of Magnetic Resonance Brain Imaging Based on Graph Theory

Introduction: Segmentation of brain images especially from magnetic resonance imaging (MRI) is an essential requirement in medical imaging since the tissues, edges, and boundaries between them are ambiguous and difficult to detect, due to the proximity of the brightness levels of the images. Material and Methods: In this paper, the graph-base...

Corpus Callosum deformation analysis in Multiple Sclerosis

Dans cet article, nous présentons une méthode de mesure des déformations volumiques du Corps Calleux (CC) consécutives à la Sclérose En Plaques (SEP). Une méthode de segmentation 3 D du volume d'intérêt basée sur les modèles déformables est proposée. Des mesures sont ensuite réalisées sur ce volume à partir d'Imagerie par Résonance Magnétique (IRM) cérébrales. La variabilité de la forme géométr...

Detection and segmentation of moving objects in complex scenes

Detecting and segmenting moving objects in dynamic scenes is a hard but essential task in a large number of applications such as surveillance. Most existing methods only give good results in the case of persistent or slowly changing background, or if both the objects and the background can be characterized by simple parametric motions. This paper aims at detecting and segmenting foreground movi...