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采用马尔可夫的图像分割程序，VC++编写，效率很快。对很多种图像都有效。-using Markov image segmentation procedures, the preparation of VC, efficiency quickly. Right kinds of images are valid.
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一个马尔可夫（MRF）图像分割MATLAB的源码,有30几个函数。Markov随机场的例子程序,对于初学入门MRF的人很有用,能得到直观的印象。-A Markov (MRF) image segmentation MATLAB source code, 30 a few functions. Markov random sample program, for beginners who are useful entry-MRF can get a visual impression.
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马尔可夫（MRF）图像分割MATLAB源码,有30几个函数。Markov随机场的例子程序,对于初学MRF的人很有用,能得到直观的印象-Markov (MRF) image segmentation MATLAB source code, 30 a number of functions. Markov random field example of the procedure, for beginner person MRF useful that they can get a visual i
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采用OpenCV进行人脸识别，隐马尔科夫链的应用，由混合分量来分割HMM的每个内在状态的所有观测值，运用现有的图像观测值分割为所有嵌入和内部的HMM函数，计算可能的变换矩阵-Using OpenCV for face recognition, hidden Markov chain applications, from the mixed components to split the internal state of each HMM all observations, use of the
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图像分割中的马尔可夫随机场方法综述，中国图象图形学报上面的文章，2007年-Image segmentation of Markov random field methods, the Chinese Journal of Image and Graphics of the above articles, 2007
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运用MARKOV进行图像处理，包括边缘提取，修复和分割-MARKOV use for image processing, including edge detection, restoration and segmentation
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MRF分割程序，C++编写，进行图像分割处理，帮助熟悉分割过程及能量最优求解-markov image segmentation, energy interation algorithm
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基于高斯混合模型markov树算法的图像分割-Gaussian mixture model based markov tree algorithm for image segmentation. . .
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2008年3月
中国图象图形学报
基于类自适应高斯-马尔可夫随机场模型和EM 算法的MR图像分割
比较新的一片关于MARKOV以及EM算法的图像分割的文章。详细介绍了两种算法，以及对MR图像的实验结果，很有参考价值-March 2008 Journal of Image and Graphics of China based on the type of adaptive Gaussian- Markov random field model and the EM algorithm
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包含基本的图像处理功能，还有markov随机场对图像进行分割、重建的算法的源代码-Contains the basic image processing functions, as well as markov random field image segmentation, reconstruction algorithm source code
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基于改进小波域隐马尔可夫模型的遥感图像分割，应用于卫星图像处理-Based on Improved Wavelet-Domain Hidden Markov models for remote sensing image segmentation
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基于马尔科夫随机过程框架下的彩色图像分割，代码完整，非常值得参考。-Markov random process based on the framework of color image segmentation, code complete, very good reference.
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上下文分割算法EM 算法，相当经典。是基于小波域隐马尔可夫模型的多尺度图像分割。-Context of the EM segmentation algorithm, very classic. Is based on wavelet domain hidden Markov model multi-scale image segmentation.
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This the sample implementation of a Markov random field (MRF) based
image segmentation algorithm-This is the sample implementation of a Markov random field (MRF) based
image segmentation algorithm
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基于小波域隐马尔可夫模型树的纹理图像分割-Based on Wavelet Domain Hidden Markov Model Tree Texture Image Segmentation
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comparative study of optimization approaches in markov random field model for magnetic resonance image case study.also some other techniques are studied and described
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Image segmentation based on fusion of edge information and region growing with the use of Markov random fields
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基于马尔可夫随机场（MRF）的图像分割算法-Image segmentation algorithm based on Markov Random Field (MRF)
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基于马尔科夫随机场的SAR图像分割方法，对应于采用最大后验概率准则对SAR目标切片图像分割，采用聚类分析算法求解。-SAR image segmentation based on Markov random fields, which corresponds to using the maximum posterior probability criteria for SAR Target Chip Image segmentation using cluster analysis algori
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基于马尔科夫随机场，结合Gamma光照模型的图像分割代码-Markov random field image segmentation
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