A New Medical Image Segmentation Algorithm

Nonparametric Dirichlet Process Mixtures (MDP) model algorithm is applied to segment images, which can obtain the segmentation class numbers automatically without initialization. In this paper a modified Dirichlet process mixtures model constrained by Markov random field (MRF) prior is constructed, which can smooth MDP image segmentation result and control segmentation classes effectively. Many comparative experiments such as noisy natural images and magnetic resonance images are segmented by classical MDP model and the modified algorithm. The results show the proposed method is robust and accurate.