CT Image Segmentation Based on Mixture Gauss Markov Random Field Models
基于混合高斯模型MRF场的CT图像分割*

A method of CT image segmentation based on Gaussian mixture Markov field model was presented.According to the characteristics of the CT images,a Gaussian mixture model to approach image statistic model was established.The mixture Gaussian Markov random field for image processing was presented which the Gaussian mixture model was used to be the priori Markov random field probability model.Experimental results show that this method can get better result of segmentation than the signal gauss model.