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。
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。
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。
The utility model is composed of a bottle stopper perforator, a triplet with plus drug, a drip kettle, a control clamp, a reducer union, scalp acupuncture, a thick and a fine conduit pipe.
它由瓶塞穿孔器、加药三通、滴壶、控制夹、变径接头、头皮针和粗、细导管等构成。
The utility model is composed of a bottle stopper perforator, a triplet with plus drug, a drip kettle, a control clamp, a reducer union, scalp acupuncture, a thick and a fine conduit pipe.
它由瓶塞穿孔器、加药三通、滴壶、控制夹、变径接头、头皮针和粗、细导管等构成。
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