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这是基于互信息的图像配准程序，实现起来比较简单，是用matlab实现的-This is based on mutual information image registration procedure is relatively simple to achieve them, is achieved using matlab
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AAA基于最大特征点对互信息量的一种新的算法研究，理论分析和实验结果表明,该算法对图像间的旋转角度没有限制,
配准精度高而且计算量较小.
-AAA feature points based on the maximum mutual information of a new algorithm, theoretical analysis and experimental results show that the algorithm for image rotation between
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BBB基于小波分解、互信息测度以及混合优化的图像配准-BBB based on wavelet decomposition, mutual information measure and the hybrid optimization of image registration
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IMGRegVC++图像配准程序源代码，该算法得到的匹配点精确，搜索效率高，检测出分布更均匀合理，能很好地适应图像拼接等实际应用。 -Mutual information based image registration VC6++ C programming language with interfaces
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图像配准程序，基于交互信息的图像配准程序-image registration usin Mutual Information
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基于互信息熵的图像配准方法，其中包括图像配准的程序，还有程序运行的界面，对于初学图像配准或者利用MATLAB做GUI界面的同学有所帮助-Entropy based on mutual information image registration methods, including image registration procedures, as well as run the interface, image registration for the novice or the use of
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实现两幅图像的配准，首先对图像做高斯低通滤波处理 ，然后计算互信息值，利用PWELL算法求出最优的参数，根据所得参数进行配准-To achieve the registration of two images, the first image to do the Gaussian low-pass filter, then calculate the mutual information value, use PWELL algorithm to determine the optimal pa
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fminunc optimizer and mutual information
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基于香浓熵的属性简约，用于属性约简，以便分类-data reduction with fuzzy rough sets or fuzzy mutual information
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计算互信息非常有用的一组程序,里面有我的例子-a group of procedures of mutual information
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计算图像间的互信息量，从而有效衡量图像间的相关程度。-mutual information of image
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本文针对多光谱图像配准中不同光谱图像间存在较大的灰度差异、同一景物在不同波段表现的特征也各不相同等问题，提出了基于互信息相似性测度的多光谱图像配准算法。-In this paper, multi-spectral image registration between different spectral image there is a big difference in gray scale, the same scene in different bands performance char
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本文针对多光谱图像配准中不同光谱图像间存在较大的灰度差异、同一景物在不同波段表现的特征也各不相同等问题，提出了基于互信息相似性测度的多光谱图像配准算法。-In this paper, multi-spectral image registration between different spectral image there is a big difference in gray scale, the same scene in different bands performance char
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本文针对多光谱图像配准中不同光谱图像间存在较大的灰度差异、同一景物在不同波段表现的特征也各不相同等问题，提出了基于互信息相似性测度的多光谱图像配准算法。-In this paper, multi-spectral image registration between different spectral image there is a big difference in gray scale, the same scene in different bands performance char
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基于互信息的刚性配准医学图像配准技术是今年来医学图像处理领域中的重要研究问题，推崇寻找某种适当的空间变换，使两幅图达到空间位置上的定位和配准，进而进行图像融合。医学图像配准在临床诊断、治疗、质量保证和疗效评价等方面具有重要的应用价值。-Mutual information-based rigid registration of medical image registration technology to medical image processing field this year, an
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评估使用互信息和B样条计算的非刚性配准的优化算法-Evaluation of Optimization Methods for Nonrigid
Medical Image Registration Using Mutual
Information and B-Splines
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This matlab codes calculates the mutual information and the conditional mutual information based on k-nearest neighbor algorithm.
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Employing Maximum Mutual Information for Bayesian Classification (Decision Theory)
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熵,联合熵,条件熵,平均互信息量的通用计算程序-Entropy, joint entropy, conditional entropy, average mutual information of the general-purpose computer program
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信息论课程里面，信息熵，平均互信息的编码的Matlab源码-Inside information theory courses, information entropy, average mutual information Matlab source code
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