– C. Coiffard (IRMA, Unistra) : A Markov point process for Fiber extraction Carte non disponible Date/heure Date(s) - 4 avril 2013 Catégories Pas de Catégories A Markov point process for Fiber extraction By Claire Coiffard, IRMA, Unistra. Abstract: The aim of this work is to extract fibers in an image. We use a stochastic modelisation of the image : an observation is a realisation of a marked process. Using a bayesian approach, we define our estimator by a MAP criterion. The model used to define the density of our process is the Gibbs process. The energy associated is divided into two parts : an internal field that favors specific spatial structures and the external field that quantifies the quality of the configuration with respect to the data. The problem of optimization is solved by a simulated annealing and MCMC methods.