This paper presents an image restoration method based on Markov random fields.
提出了一种基于马尔科夫随机场和遗传算法的图像恢复的方法。
Methods: Based on Markov random fields model of noise, a iteration algorithm was presented by using maximum a posteriori (MAP) criterion.
方法：根据马尔科夫随机场图像模型，利用最大后验概率准则(M A P)，提出一种迭代松弛分割算法。
Triplet Markov random fields (TMF) model is suitable for dealing with multi-class segmentation of non-stationary, non-Gaussian SAR images.
三重马尔科夫随机场(TMF)模型非常适合处理非平稳、非高斯图像的分割问题。
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