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。
2
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。
3
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.