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Description: 基于马尔可夫随机场的图像恢复，给出产生MRF的程序并应用于图像去噪-GMRF based on the image restoration, MRF is generated and applied to the procedures Image Denoising
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Size: 2195 |
Author: 邱风云 |
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Description: 基于马尔可夫随机场的图像恢复，给出产生MRF的程序并应用于图像去噪-GMRF based on the image restoration, MRF is generated and applied to the procedures Image Denoising
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Size: 2048 |
Author: 邱风云 |
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Description: 图像超分辨率算法的研究，介绍了ML、MAP等超分辨率算法的核心思想，GMRF先验选择等，对学习图像超分辨率重建很有帮助-Image super-resolution algorithm, the core idea of the ML, MAP super-resolution algorithm GMRF prior selection, useful for learning image super-resolution reconstruction
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Size: 3296256 |
Author: cx |
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Description: 变权重高斯马尔科夫图像分割算法，对于纹理分割问题效果不错-Variable high weight GMRF image segmentation algorithm for texture segmentation good results
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Size: 4096 |
Author: 小维 |
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Description: Gabor,GMRF,LBP纹理特征提取方法_MATLAB,可以用来提取图像特征，用来做图像识别和分类-Gabor, GMRF, LBP texture feature extraction method _MATLAB, can be used to extract image features, used to do image recognition and classification
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Size: 660480 |
Author: antry |
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Description: 二维GMRF模拟实现代码，对石油行业油气储层建模有兴趣的可以参考。-2D GMRF modeling program code, it is useful for students interested in petroleum reservoir modeling.
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Size: 1801216 |
Author: LZF |
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Description: 马尔科夫随机场一般是离散的。当然也有连续的马尔可夫随机场，如果假设这个马尔可夫随机场定义在一个域U上面而且任意x∈U，Y(x)都是服从高斯分布的，而且两点间的covariance function K(x,y)=G(x,y)，where G是对应U的格林函数，那么这个随机场既是马尔可夫随机场，也是高斯随机场。(The Markov random field is generally discrete. Of course there are continuous Markov random field, assuming that the Markov random field defined in a domain of U and above any X in U, Y (x) are subject to Gauss distribution, and between the two covariance function K (x, y) =G (x, y), where G is the corresponding Green function U, then this is a random field Markov random field, but also with the Gauss airport.)
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Size: 312320 |
Author: sixiudant |
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Description: 基于MRF图形的小波与分解 获取最粗尺度上的初始分割。使用EM算法必须有一个初值，因此我们首先使用K-均值聚类算法获取尺度J-1上的初始分割结果。
2.E步骤。使用MPL方法GMRF模型参数。
3.M步骤。使用估计出的参数，采用运算速度较快的迭代条件模式（ICM）通过最小化获取尺度上的优化的分割结果。
4.尺度内迭代。重复2和3知道满足某种准则，迭代停止。我们获得尺度n上的最终分割结果。
5.尺度间迭代。将尺度n的分割结果之间映射到最近的较细尺度n-1上，作为这个尺度的初始分割。重复4，直到获取最细尺度上的分割结果。(Wavelet and decomposition based on MRF graphics)
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Size: 8698880 |
Author: Giovanna |
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