Markov random field method is a very active research field in image segmentation.
马尔可夫随机场方法是图像分割中一个极为活跃的研究方向。
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。
Markov Random Field is extension of Markov Processing at the two-dimensional parameters set.
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。
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 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。
It is based on the markov random field with new features, such as clique potential, initial nodes probability density.
此应用是基于马尔可夫随机场的新特性：势团势能，初始节点的概率密度。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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