搜索资源列表
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图像配准－GUI界面，最优化算法，互信息尺度，POWELL.m附属子程序，PSO.m附属子程序，对图像进行“平移”和“旋转”-Image Registration - GUI interface, optimization algorithms, mutual information scale, POWELL.m subsidiary subroutine, PSO.m subsidiary subroutine, the right image "translation"
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采用共信息(mutual information)实现了图像对齐的功能（image registration）。这在数据融合，图像处理里是很重要的。-adopt information (mutual information) to achieve alignment of the image features (i MAGE registration). This data integration, image processing, was very important.
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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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Matlab实现的图像配准程序，运用互信息，PSO等进行了优化。
-Matlab to achieve image registration procedures, the use of mutual information, PSO, etc. were optimized.
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image registration usin Mutual information
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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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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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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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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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遗传算法和最大互信息对于医学图像配准的研究-Genetic algorithm and the largest mutual information medical image registration algorithm of research
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基于互信息的医学图像配准 matlab程序-image registration based on mutual information matlab
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基于最大互信息的图像配准程序 gui界面 -image registration based on mutual information gui
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一个基于互信息的图像配准，优化算法采用Powell算法，采用matlab编写。-A mutual information based image registration, optimization algorithm uses the Powell algorithm using matlab write.
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image registration method based on the mutual information feature
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Mutual Information based Image registration
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使用matlab开发环境，进行最大互信息图像配准（其中含界面多种算法的程序）-Use matlab development environment, the maximum mutual information image registration (which contain multiple algorithms program interface)
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通过matlab实现：通过计算归一化互信息进行判断实现图像配准。-Through matlab: by calculating the normalized mutual information to judge to realize image registration.
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这个源码是基于互信息图像配准用matlab的实现,需要的就下,啥也不说了,-The source code is based on mutual information image registration matlab implementation, went down, what also don t say,
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这个源码是基于互信息图像配准用matlab的实现,需要的就下,啥也不说了,-The source code is based on mutual information image registration matlab implementation, went down, what also don t say,
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