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GUI
- 是基于互信息的医学图像配准程序。采用matlab编程实现-medical image registratioin
Huxinxituxiangpeizhun
- 利用互信息对图像进行配准，使用的是matlab自带的优化工具箱-image registration using mutunal information ,this is good method,though it s so simple
peizhun
- 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.
peizhun
- 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
NMI
- 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
Mutual-Image-Registration-2D
- 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
Registration
- 基于互信息的医学图像配准 matlab程序-image registration based on mutual information matlab
MI
- 基于最大互信息的图像配准程序 gui界面 -image registration based on mutual information gui
PowegGGSJistration
- 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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- 互信息配准 本程序是应用灰度互信息进行配准的一个matlab程序-Mutual information registration
GUI
- 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)
MI
- 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.