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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It is significant to study the model and energetics of the triplet-base, an element of forming three-stranded DNA structure.

三碱基体是形成三链dna结构的基元，对其进行模型能力学研究具有一定的意义。

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Due to the problems to infrared image segmentation using Markov random fields, a method for infrared image segmentation based on triplet Markov fields using mixture gauss model was proposed.

针对马尔可夫随机场在红外图像分割方面存在的问题，给出了一种基于混合高斯模型的三马尔可夫场红外图像分割算法。

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