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互信息图像配准，采用matlab实现，主要用于多模医学图像-mutual information image registration using Matlab to achieve, mainly for the Multi-Modal Medical Image
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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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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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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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提出了一种优化的图像配准算法。首先把图像中的兴趣点及其角度信息提取出来，利用互信息准则，得到需要的配对点，得到两幅或多幅图像的拼接自然的完整图像, 实验表明，该算法是有效的。-An optimized image registration algorithm. First of all, the image of interest points and their point of view of information extracted, using the criteria of mutu
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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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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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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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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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此程序可以实现对图像进行配准，所采用的相似性测度包括归一化互信息，互信息等多种测度，同时包含多种测试程序。-This procedure can be achieved for the image registration, using the similarity measure of the mutual information, normalized mutual information, and many other measure, contain both a variety of
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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-Based on mutual information image registration, using Powell optimization algorithm, using
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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-Based on mutual information image registration, using Powell optimization algorithm, using
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针对基于最大互信息图像配 准的不足 研究 了基于 H a r r ls角点算子的多模态医学图像配准。在计算互信 息的时候,采用部分体积插值法计算联合灰度直方 图-Based on the maximum mutual information for image registration based on the lack of H arr ls corner operator multimodal medical image registration. In calculating the mu
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这是一个相似性度量的程序，利用互方差信息，对于图像 配准方向的人具有一定的价值-This is a measure of the similarity program of variance using mutual information, directions for image registration of people with a certain value
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Functions for aligning images by rotation and translation:
im_reg_MI.m
MI2 - calculating Mutual information
joint_h - calculating Joint histogram
Mutual information is calculated using joint histogram calculation between two images.
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将两幅图像进行配准操作，可用于图像融合准备工作。使用互信息作为度量准则，改变步长、进行多次迭代。-The two image registration operation, can be used for image fusion preparations. Using mutual information criterion as a measure to change the step size, multiple iterations.
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医学图像配准工具箱，对用互信息图像配准有帮助-Medical image registration toolbox for image registration using mutual information helpful
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互信息图像配准,采用matlab实现,主要用于多模医学图像-Mutual information image registration, using matlab, it is mainly used for multi-mode medical images
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Mutual information image registration, using matlab, it is mainly used for multi-mode medical images
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