A Bayesian Mumford–Shah Model for Radiography ImageSegmentation

Type : Publication
Auteur(s) :  N. Ramou, N. Chetih, M. Halimi
Année :  2018
Domaine : Electronique
Revue : Arabian Journal for Science and Engineering
Résumé en PDF :  (résumé en pdf)
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Mots clés :  Level set

Résumé : 

This paper investigates the segmentation of radiographic images using a level set method based on a BayesianMumford–Shahmodel. The objective is to separate regions in an image that have very close arithmetic means, where a model based on thestatistical mean is not effective. Experimental results show that the proposed model can successfully separate such regions,in both synthetic images and real radiography images.