搜索资源列表
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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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基于互信息的图片配准，matlab应用，可运行。但不是下载图片，而是mat信息。-Based on the mutual information of image registration, matlab, can run. But not download images, but mat information.
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研究了基于互信息测度的医学图像配准方法,提出了一种优化算法的改进。目的旨在于解决配准的精度和在基于互信息配准过程中的效率问题。提出的优化算法是将拟牛顿方法运用于多模医学图像配准中。实验结果说明这种改进的方法能有效提高配准的精度和效率问题,并得到好的实验效果。-Abstract: This paper presents a novel Optimized method for medical image registration, the purpose is to solve problems,
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基于互信息和梯度相似性图像配准代码，简单易学-The image registration algorithm based on mutual information and gradient
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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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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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