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基于互信息的图像配准程序。用matlab编写的。有助于理解互信息。-based on mutual information of image registration procedures. Prepared using Matlab. Contribute to the mutual understanding of the information.
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matlab Mutual information 源代码
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控制台程序。要求：输入一个UNICODE的中文文本。结果，统计字符之间的的频率和多元互信息。-console procedures. Requirements : a UNICODE importation of Chinese text. The results, statistics between characters in the frequency and diversified mutual information.
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利用MATLAB计算两张图像的信息熵及其互信息.,calculate the entropy of information
calculate the mutual information of two information.
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基于互信息的配准程序，matlab版的，内部包括测试图像为CT和ＭＲ。是老外编的，不错。, Matlab Program to find mutual information for two images stored as vectors.
The images must contain 8-bit (0-255) integer pixels
Requires two data vectors X,Y which must be the same length and Nx1
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计算两个离散时间序列变量间的信息熵和互信息,Calculation of two discrete time series between the variable information entropy and mutual information
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互信息程序编码，是基于MATLAB环境下,Mutual information procedure codes, is based on the MATLAB environment
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互信息和梯度相结合的图像配准算法，在配准中引入了图像的空间信息,Mutual information and gradient combination of image registration algorithm, the introduction of registration in the image of the spatial information
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基于互信息的图像配准源代码，采用粒子群优化算法,Based on Mutual Information Image Registration source code, the use of particle swarm optimization algorithm
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一个基于互信息的图像配准源代码，采用粒子群优化算法源代码，可直接使用。-A mutual information based image registration source code, using particle swarm optimization algorithm source code can be used directly.
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计算两幅图像的互信息和联合直方图，适于图像处理初学者，,Calculation of two images of the mutual information and joint histogram, image processing is suitable for beginners,
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图像配准，利用互信息进行图像配准，主要针对旋转和平移,Image registration using mutual information for image registration, the main response to rotation and translation
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混沌计算程序源文件——包括计算Lyapunov指数的5种方法：C-C算法,最小数据量算法，G-P算法，关联维数法，互信息量法。,the original programs to calculate chaos in order to count the Lyapunov index out. Including 5 such methods: c-c method, minimum data method, G-P, mutual information method and correlati
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利用互信息进行特征抽取的方法实现，能找到最具代表的特征，有效的实现了计算量的减少和可用来维数缩减-The use of mutual information feature extraction method of implementation, to find the most representative characteristics of an effective implementation of the computation of the reduction and can be
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基于互信息理论的最大相关排序算法，可应用于各领域的特征选择。-Maximum mutual information based relevance ranking algorithm theory can be applied to all areas of feature selection.
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该代码是基于互信息的非均匀特征排序算法的MATLAB实现-The code is based on the mutual information of non-uniform features of MATLAB realization of sorting algorithms
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这是一个关于基于互信息的图像配准程序，是以matlab编写-This is a mutual information based image registration procedures, the preparation is matlab
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基于互信息的图像配准，使用pso和powell优化算法，GUI界面，proj.m-Based on mutual information image registration, use the pso and powell optimization, GUI interfaces, proj.m
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非刚性图像配准算例，包括最速梯度下降优化、二次样条、2D/3D配准、互信息最小化、3D仿射等多种配准算法。
非刚性配准是当前应用最多的配准方法，用于处理有较大位移的配准问题-Non-rigid image registration examples, including the steepest gradient descent optimization, quadratic spline, 2D/3D registration, mutual information minimizatio
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基于K均值算法和互信息熵差的算法，可以有效地确定分类数,从而该算法对医学图像进行自动优化分割。-K means algorithm based on entropy and mutual information algorithms, can effectively determine the classification number, so that the algorithm for automatic optimization of medical image segmentation.
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