提出了一种基于马尔科夫随机场的双序列比对算法。
A novel markov pairwise protein sequence alignment method was proposed in this thesis.
提出了一种基于马尔科夫随机场模型的缺陷检测方法。
A method of vane defects detecting based on Markov random field is presented in this paper.
马尔科夫随机场是马尔科夫随机过程在二维参数中的推广。
Markov Random Field is extension of Markov Processing at the two-dimensional parameters set.
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。
This paper presents an image restoration method based on Markov random fields.
本文在隐马尔科夫场和双马尔科夫场的基础上，着重研究了三重马尔科夫随机场。
In this dissertation, based on hidden Markov field and pairwise Markov field, we do research on triple Markov random field.
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。
Triplet Markov random fields (TMF) model is suitable for dealing with multi-class segmentation of non-stationary, non-Gaussian SAR images.
摘要：对于扫描或相机拍摄的低分辨率文本图片，提出一种基于马尔科夫随机场的文本图像清晰化算法。
Absrtact: Document text images captured by book scanner or camera usually require resolution enhancement for other usage, present a text image enhancement algorithm based on Markov random field.
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(MA P)，提出一种迭代松弛分割算法。
Methods: Based on Markov random fields model of noise, a iteration algorithm was presented by using maximum a posteriori (MAP) criterion.
把运动矢量场建模为高斯马尔科夫随机场，对丢失图像块的运动矢量采用最大后验概率方法恢复，其权值能够根据空间和时间信息而自适应选择。
The motion vectors of the damaged image macroblocks can be recovered adaptively by Maximum A Posteriori(MAP), and the weight is selected adaptively based o.
把运动矢量场建模为高斯马尔科夫随机场，对丢失图像块的运动矢量采用最大后验概率方法恢复，其权值能够根据空间和时间信息而自适应选择。
The motion vectors of the damaged image macroblocks can be recovered adaptively by Maximum A Posteriori(MAP), and the weight is selected adaptively based o.
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