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图象配准源程序一,
GUI界面,proj.m
图片选择窗口,testListBoxlj.m
二,最优化算法
PSO.m
POWELL.m
三,互信息尺度
MI.m
EMI.m
RMI.m
HiMI.m
GMI.m
FPMI.m
四,POWELL.m附属子程序
oneDimSearch.m
五,PSO.m附属子程序
myMI.m
六,配准结果检验程序
restore.m
七,
gob
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利用最小互信息实现向量的特征选择,优化分类器的设计,原创-The use of mutual information to achieve the smallest feature selection vectors, optimizing the classifier design, originality
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-The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all
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互信息尺度GEMI.m 。函数-Mutual Information-scale mutual information GEMI.m scale GEMI.m. Function
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一种新的方法,可以自动对两幅图像进行刚性配准。采用matlab和c++混编,速度得到一定的提高。-Rigid body 2-D image co-registration (translation and rotation) is performed using maximization of mutual information.
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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 images in different spectral gray there is a big difference, the same scene in different performance character
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基于互信息的图像配准算法,优化算法采用Powell和粒子群向结合的算法-Based on mutual information image registration algorithm, using Powell optimization algorithm and particle swarm algorithm to combine
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本代码是利用互信息法进行配准,多分辨率优化地刚性配准。-The code is the use of mutual information registration method, multi-resolution optimization to rigid registration.
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MIMO-OFDM系统无线衰落信道容量分析,适合做无限通信的研究-Characterizing the Statistical Properties of Mutual Information in MIMO Channels
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EXIT图绘制过程中统计似然值分布并计算其与信息比特的互信息的两种算法-two algorithms for measuring the mutual information of likelihood values and symtematic information bits
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一个计算信息熵的完整功能类。设计互信息,熵,信息增益,条件熵等等功能。-A calculation of the full functionality of class information entropy. Design of mutual information, entropy, information gain, conditional entropy and more.
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I am including the code for Mutual Information calculation
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一共包含了5个ICA的算法,其中:
fastica.m文件中的ICA算法是基于负熵的;
m_fastica.m文件中的ICA算法是基于负熵的改进算法;
fastica_kurt.m文件中的ICA算法是基于峭度的;
fastica_ML.m文件中的ICA算法是基于互信息的;
NLPCA.m文件中的ICA算法是基于非线性PCA的。-Contains a total of five ICA algorithm, in which: fastica.m file in the ICA
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进一步解决基于互信息的配准算法在配准精度、速度和误配率之间的相互制约问题。提出一种新的配准参数搜索策略——三级配准,将平移、旋转参数分开搜索;在分析互信息配准的优点和局限性的基础上,将模糊理论中的欧几里德贴近度引入三级 配准过程中。实验结果表明,本文提出的配准策略在保持基于互信息配准精度不变的情况下,迭代步数、配准时间和误配率均有明显改善。-Further resolve the mutual information based registration algorithm in the ali
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matlab 互信息理论主要函数的工具包,包括互信息,熵的计算公式等程序-the main function of mutual information theory matlab toolkit, including the mutual information, entropy calculation
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Image Registration by Mutual Information
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粗糙集代码
data reduction with fuzzy rough sets or fuzzy mutual information
fuzzy preference rough set based feature evaluation and selection
-Rough code data reduction with fuzzy rough sets or fuzzy mutual information fuzzy preference rough set bas
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what is entropy, mutual information, relative entropy
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图像配准中的两幅图像的归一化互信息计算方法代码-Image registration of two images of the normalized mutual information method code
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这是一个2D图像互信息配准的程序,其中图像已经导入到matlab中,并形成mat文件,对于学习互信息配准有很大的帮助-2_D image registration based on mutual information
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