搜索资源列表
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Descr iption: Functions for aligning images by rotation and translation: image_registr_MI.m
MI2 - calculating Mutual information
joint_h - calculating Joint histogram
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计算两幅图像联合直方图的matlab小程序。可以用于图像分割及图像互信息的计算-calculated two joint histogram of the image of small Matlab procedures. Can be used for image segmentation and image mutual information calculation
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mutual information medical image match
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很全的图像融合指标，综合熵、空间频率、互信息等等，一共7种！和两幅源图像！每个程序都测试过，效果很好，直接出结果,Are all indicators of image fusion, integrated entropy, spatial frequency, mutual information, etc., a total of 7! And the two source image! Each program is tested with good results, directly r
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使用互信息进行2D图像自动配准源代码,应用平均互信息,The use of mutual information for automatic registration 2D image source code, the application of the average mutual information
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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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基于最大互信息的图像配准算法源程序
用matlab编写的-Based on the maximum mutual information image registration algorithm using matlab source prepared
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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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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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关于医学图像配准的一篇论文，轮廓特征点、最大互信息、多模态-Medical Image Registration on a paper, the outline of the characteristics of points, maximum mutual information, multi-modal
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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，优化算法采用Powell算法，采用matlab编写-Mutual information-based image registration, optimization algorithm uses Powell algorithm, using the preparation of matlab
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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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Image Registration by Mutual Information
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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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图像融合指标，综合熵、空间频率、互信息等等，一共7种。在图像处理后的质量评价方面很有用-Fusion index, comprehensive entropy, spatial frequency, mutual information, etc., a total of 7 species. In the image processing is useful for quality assessment
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a fuction calculates the entropy for a image: ientropy.m
a fonction calculates the joint entropy bethwin too images: jentropy.m
à fuction calculates the mutual information bithwin too images imf.m
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lena图像互信息求取，包括各个颜色值之间的互信息求取，运行通过！-lena image to strike a mutual information, including all the mutual information between the color values to strike, to run through!
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用互信息方法做的图像配准，效果很好，不足就是运行时间太长-Image registration operated by mutual information method works well, the lack of it is that running time is too long.
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关于计算两幅图像的互信息，对配准有一定作用-On computing the mutual information of two image, is a role for registration
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