Research on New Automatic Segmentation Algorithm of Brain Tumor
Based on nonparametric Dirichlet process mixture models,a novel automatic image segmentation method is proposed for brain tumor magnetic resonance images.In this paper all the brain tumor magnetic resonance images are smoothed by anisotropic diffusion firstly,then the images were segmented by the Dirichlet process mixture models combined with the Markov random field special restriction prior.The new algorithm is applied to segment the brain tumor magnetic resonance images,and the experiment results show that the class numbers can be controlled better in the new algorithm and the properties,such as accuracy and computing speed are significantly greater than the classical Dirichlet process mixture model segmentation.