his project focuses on hybrid image segmentation in a Bayesian framework for different applications. The first proposed model combines the Dirichlet process (DP) and the Mumford shah based model level set. For an image, it is divided into homogeneous regions and similar regions between images are grouped into classes. On the one hand, thanks to the DP, it is not necessary to define a priori the number of regions per image and the number of classe.....Read more