– C. Coiffard (IRMA, Unistra) : A Markov point process for Fiber extraction

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Date/heure
Date(s) - 04/04/2013
14 h 00 min - 15 h 00 min

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.

– C. Coiffard (IRMA, Unistra) : A Markov point process for Fiber extraction

Carte non disponible

Date/heure
Date(s) - 04/04/2013
14 h 00 min - 15 h 00 min

Catégories Pas de Catégories


A Markov point process for Fiber extraction\nBy Claire Coiffard, IRMA, Unistra.\n\n\nAbstract :\nThe 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.[