This paper proposes a hierarchical random field model for segmentation of images.
本文提出了一种用于图像分割的分层随机场模型。
Based on Markov random field, an improved GA image restoration method is presented.
本文基于马尔可夫随机场，提出了改进的遗传图象恢复方法。
A method of vane defects detecting based on Markov random field is presented in this paper.
提出了一种基于马尔科夫随机场模型的缺陷检测方法。
The theory of random field plays an important role in reliability analysis of ocean structure foundations.
阐述了随机场理论在进行海洋结构物地基可靠度分析中的作用。
This paper proposes a Markov random field(MRF) model-based approach to natural image matting with complex scenes.
为了取得更好的抠图效果，提出了一种基于马尔可夫随机场的自然图像抠图方法。
This paper deals with markov random field and it's application in image texture classification.
针对马尔可夫随机场方法用于影像纹理分类进行了探讨。
This paper presents a novel unsupervised image segmentation algorithm based on hidden Markov random field(HMRF) model.
研究了基于隐马尔可夫随机场（HMRF）模型的无监督图像分割问题。
A set of standard independent bases is constructed, then the random field is expanded with its projection on the bases.
它是通过构造一组标准正交基，并将随机场用其在这组基上的投影表示。
In this dissertation, based on hidden Markov field and pairwise Markov field, we do research on triple Markov random field.
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。
Firstly, maximum a posteriori framework is created according to conditional random field model and Markov random field model.
根据条件随机场模型和马尔可夫随机场模型建立了一个最大后验概率框架。
Based on the theory of random field, this paper derives the random area unit's distribution and probability density functions.
本文基于随机场理论，导出了随机面元的分布函数和概率密度函数。
A fuzzy Markov random field (FMRF) model is established and a new algorithm based on FMRF for image segmentation proposed in this paper.
本文建立模糊马尔可夫场模型，并提出基于模糊马尔可夫场的图像分割新算法。
The random field models can be available in synthesizing the natural texture according to the statistical distribution of intensity of texture in space.
根据自然红外纹理在空间的统计分布特性，利用随机场模型可以有效地合成红外纹理。
For many sample-based texture synthesis algorithms using markov random field model, the size of neighborhood determines the quality and speed of texture synthesis.
在许多采用马尔可夫随机场模型的基于样图的纹理合成算法中，邻域的大小决定着这些合成算法的纹理合成质量和合成速度。
The mean concentration equation of adsorbing solute transport in heterogeneous unsaturated soil was studied based on the spectrum analysis of the spacial random field.
本文应用随机场的谱分析方法，研究了吸附性溶质在非饱和、非均匀土体中运动时平均浓度所遵循的基本方程。
Integrating the statistical characteristics of speckle noise in SAR images with wavelet-domain Markov random field (MRF) structure of images, a new wavelet-domain spec.
基于图像在小波域的马尔可夫随机场模型(MRF)结构，结合SAR图像中相干斑噪声的统计特性，本文提出了一种新的小波域相干斑抑制方法。
In our method, we transformed the problem into an equivalent sequence tagging problem, and built up the automatic generation model through the first order conditional random field.
我们的方法是将简称生成问题转化为等价的序列标注问题，并利用一阶条件随机场建立自动生成模型。
A regularized image restoration is the optimization for some conditional constraint, and the selection of wavelet coefficients based Bayesian statistic is on the image random field view.
正则化图像恢复是条件约束的最优化问题，而小波系数的贝叶斯统计选择是基于图像的随机场观点。
In this paper, a kind of generalized multiscale fractal parameter is proposed and constructed for the description of image textures, which is based on fractional Brownian random field model.
本文从分数布朗随机场模型的描述出发，提出并构造了一种广义多尺度分形参数，用于描述图像的纹理信息。
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.
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。
Based on the Discrete Fractal Brownian Random Field (DFBR) an algorithm of multiresolution object recognition is presented.
在离散分形布朗随机场(DFBR)理论的基础上，提出一种多分辨率目标识别算法。
So Conditional Random Field (CRF) is introduced to build POS tagging model in this paper, in order to overcome above problems.
论文引入条件随机域建立词性标注模型，易于融合新的特征，并能解决标注偏置的问题。
A combined method based on Markov Random Field (MRF) model and morphological operation was presented for the segmentation of the SAR image in target monitoring.
针对目标监测分析中的SAR图像分割问题，构造了一种基于马尔可夫随机场(MRF)模型和形态学运算的处理方法。
Utilizing MRF (Markov Random Field) model to introduce the pixel's local context information, a quite accurate segmentation of SAR target chip image is realized.
文中通过利用马尔可夫随机场模型，引入图像象素的局部结构信息，有效实现了SAR目标切片图像的高精度分割。
This paper introduced a MRF (Markov Random Field) -based method of integrating color and spatial edge information to address the problem of lip feature extraction.
讨论了基于马尔可夫随机场(MRF)模型的融合颜色和边缘信息的嘴唇特征提取方法。
This paper introduced a MRF (Markov Random Field) -based method of integrating color and spatial edge information to address the problem of lip feature extraction.
讨论了基于马尔可夫随机场(MRF)模型的融合颜色和边缘信息的嘴唇特征提取方法。
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