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MutuaInformationandinterestpoints
- 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
tuxiangpeizhun
- 基于互信息熵的图像配准方法，其中包括图像配准的程序，还有程序运行的界面，对于初学图像配准或者利用MATLAB做GUI界面的同学有所帮助-Entropy based on mutual information image registration methods, including image registration procedures, as well as run the interface, image registration for the novice or the use of
Keil-uVision3
- 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
regiatration-dianlu
- 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
huxinxi
- 基于互信息的图像配准算法（MI NMI ECC三种算法） matlab实现-Registration algorithm based on mutual information of images (MI, NMI, ECC three algorithms)matlab Realization