【摘要】 提出了一种基于混合高斯模型的马尔可夫随机场CT图像分割方法。此方法根据工业CT图像的特点,建立混合高斯逼近的图像灰度统计模型;用混合高斯模型作为Markov随机场的先验模型,提出混合高斯Markov随机场分割模型。实验表明,该方法较单高斯模型有很大的改善,对工业CT图像分割效果好。更多还原

【Abstract】 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.更多还原