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Description: 基于contourlet变换的隐性马尔可夫模型树程序包，是由Duncan Po等人编写，其中含有部分C程序-on Contourlet Transform hidden Markov model tree package, Po is from Duncan and others prepared, which contains some C Program
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Size: 2032640 |
Author: 王蕊 |
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Description: 基于MATLAB环境下的HMT隐马尔克夫树模型参数训练代码母函数-Based on the MATLAB environment HMT parameters hidden Markov tree model training code generating function
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Size: 1024 |
Author: Lisa Gonzalez |
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Description: 这是一个Matlab实现的隐马尔科夫树模型，用于计算图像的Contourlet系数。程序同时还包括图像去噪、纹理恢复的应用模型。-This is a Matlab realization of Hidden Markov Tree Model, used to calculate the coefficient Contourlet images. Program also includes image denoising, texture restoration of the application model.
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Size: 2464768 |
Author: 小单 |
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Description: Contourlet变换中的隐马尔科夫树模型程序 Hidden Markov Tree model of Contourlet Transform ,一个Matlab实现的隐马尔科夫树模型，用于计算图像的Contourlet系数。程序同时还包括图像去噪、纹理恢复的应用模型。这些程序都是基于"Directional Multiscale Modeling of Images Using the Contourlet Transform" by D. D.-Y. Po and M. N. Do,这个文章的；
同时需要Minh N. Do的Contourlet工具箱，该工具箱可以从这里http://www.ifp.uiuc.edu/~minhdo/software/得到。
-Contourlet transform the hidden Markov model procedures for Hidden Markov Tree model of Contourlet Transform, a Matlab implementation of the Hidden Markov Tree Model, used to calculate the image Contourlet factor. Program also includes denoising, texture recovery application model. These procedures are based on the " Directional Multiscale Modeling of Images Using the Contourlet Transform" by DD-Y. Po and MN Do, this article also need Minh N. Do the Contourlet toolbox, the toolbox is available here http://www.ifp.uiuc.edu/ ~ minhdo/software/receive.
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Size: 2482176 |
Author: 徐英 |
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Description: Contourlet变换中的隐马尔科夫树模型程序 Hidden Markov Tree model of Contourlet Transform 2008年11月14日 MATLAB2 (R2006a) 这是一个Matlab实现的隐马尔科夫树模型，用于计算图像的Contourlet系数。程序同时还包括图像去噪、纹理恢复的应用模型。-Contourlet transform the hidden Markov model procedures for Hidden Markov Tree model of Contourlet Transform 2008 年 11 月 14 日 MATLAB2 (R2006a) is a Matlab implementation of the Hidden Markov Tree Model, used to calculate the image Contourlet factor. Program also includes denoising, texture recovery application model.
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Size: 2481152 |
Author: 张正平 |
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Description: 针对合成孔径雷达(SAR) 图像含有大量斑点噪声的特点,基于Contourlet 的多尺度、局部化、方向性和各向
异性等优点,并结合隐马尔科夫树( HMT) 模型和隐马尔科夫场(MRF) ,提出了一种基于Contourlet 域持续性和聚
集性的SAR 图像模糊融合分割算法。该算法有效捕获了Contourlet 子带的持续性和聚集性,并分别用HMT 和
MRF 来刻画,再依据模糊测度,将多尺度HMT 和MRF 有机融合,建立Contourlet 域HMT2MRF 融合模型,并导
出新模型下的最大后验概率(MAP) 分割公式。对实测SAR 图像进行了仿真,仿真结果和分析表明:与小波域上的
HMT2MRF 融合分割及Contourlet 域上HMT 和MRF 分割算法相比,该算法在抑制斑点噪声的同时,有效地提高
了SAR 图像的分割精度- In view of the speckle noise in the synthetic aperture radar (SAR) images , and based on the Contourlet′s
advantages of multiscale , localization , directionality , and anisot ropy , a new SAR image fusion segmentation
algorithm based on the pe rsis tence and clustering in the Contourlet domain is p roposed. The algorithm captures the
pe rsis tence and clus tering of the Contourlet t ransform , which is modeled by hidden Markov t ree (HMT) and Markov
random field (MRF) , respectively. Then , these two models are fused by fuzzy logic , resulting in a Contourlet
domain HMT2MRF fusion model . Finally , the maximum a poste rior (MAP) segmentation equation for the new fusion
model is deduced. The algorithm is used to emulate the real SAR images . Simulation results and analysis indicate that
the p roposed algorithm effectively reduces the influence of multiplicative speckle noise , imp roves the segmentation
accuracy and p rovides a bet te r visual quality for SAR images ove r the
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Size: 897024 |
Author: 周二牛 |
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Description: 基于 系数分布统计特性，结合隐马尔可夫树模型和贝叶斯准则提出一种新的图像分割算法
-Based on statistical properties of the distribution coefficient combined with hidden Markov tree model and Bayesian guidelines propose a new image
segmentation algorithm
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Size: 754688 |
Author: 刘璐 |
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Description: 基于马尔可夫的HMT模型
使用EM算法进行参数训练-a hidden Markov tree model to the contourlet coefficients of images.These functions are based on the journal Directional Multiscale Modeling of Images Using the Contourlet Transform
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Size: 92160 |
Author: 颜文 |
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Description: 使用Contourlet变换和SVM进行书画艺术的识别，通过EM算法进行HMT参数的训练-Code used for the article Authentication of paintings using hidden Markov modelling of contourlet transforms , where we develop a method for classification of paintings digital reproductions.
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Size: 46080 |
Author: 颜文 |
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