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Search - gmrf - List
[
Special Effects
]
MRFimage
DL : 1
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
Update
: 2008-10-13
Size
: 2.14kb
Publisher
:
邱风云
[
Special Effects
]
MRFimage
DL : 0
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
Update
: 2025-02-17
Size
: 2kb
Publisher
:
邱风云
[
Graph program
]
SuperResalution-elle-thesis
DL : 0
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
Update
: 2025-02-17
Size
: 3.14mb
Publisher
:
cx
[
Software Engineering
]
MGMRF_weight
DL : 0
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
Update
: 2025-02-17
Size
: 4kb
Publisher
:
小维
[
Other
]
Gabor-GMRF-LBP
DL : 0
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
Update
: 2025-02-17
Size
: 645kb
Publisher
:
antry
[
Industry research
]
GMRF
DL : 0
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.
Update
: 2025-02-17
Size
: 1.72mb
Publisher
:
LZF
[
Other
]
GMRF
DL : 1
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.)
Update
: 2025-02-17
Size
: 305kb
Publisher
:
sixiudant
[
Special Effects
]
MRMRF simple
DL : 1
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)
Update
: 2025-02-17
Size
: 8.3mb
Publisher
:
Giovanna
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