Distance-based shape statistics for image segmentation with priors

Results obtained on both synthetic and digital radiographs reconstruction (DRR) show that the proposed model improves on existing prior and non-prior shape based image

Unité de recherche INRIA Rennes : IRISA, Campus universitaire de Beaulieu - 35042 Rennes Cedex (France) Unité de recherche INRIA Rhône-Alpes : 655, avenue de l’Europe -

However, for shape optimization of the type considered here, the situation is slightly better and, as proved in [5],[4], positivity does imply existence of a strict local minimum

1) Particle size: Since the shape evolution involves diffusion processes, only relatively small crystals at high homologous temperatures will be able to reach an

and to the use of texture from Haar wavelet features in [9], posterior probabilis- tic information of the prostate region obtained in a Bayesian framework is used to train,

Here we present a comparison among different approaches for the estimation of the deformation, that is, for probing a deformation between two shapes X , X , and for a

Our research on segmentation and tracking of the myocardium in echocardiographic sequences using shape and motion constrained level-set opens several perspectives..

Trois différences significatives ont été mises en évidence entre les 2 groupes : le sex ratio, le taux de bactériémie associée et