搜索资源列表
利用MATLAB计算两张图像的信息熵及其互信息
- 利用MATLAB计算两张图像的信息熵及其互信息.,calculate the entropy of information calculate the mutual information of two information.
基于互信息的配准程序，matlab版的
- 基于互信息的配准程序，matlab版的，内部包括测试图像为CT和ＭＲ。是老外编的，不错。, Matlab Program to find mutual information for two images stored as vectors. The images must contain 8-bit (0-255) integer pixels Requires two data vectors X,Y which must be the same length and Nx1
GradientMI.rar
- 互信息和梯度相结合的图像配准算法，在配准中引入了图像的空间信息,Mutual information and gradient combination of image registration algorithm, the introduction of registration in the image of the spatial information
mi_hist.zip
- 计算两幅图像的互信息和联合直方图，适于图像处理初学者，,Calculation of two images of the mutual information and joint histogram, image processing is suitable for beginners,
peizhun.rar
- 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
Mutual-2D_Image-Registration.r
- 使用互信息进行2D图像自动配准源代码,应用平均互信息,The use of mutual information for automatic registration 2D image source code, the application of the average mutual information
image_registr
- 这是一个关于基于互信息的图像配准程序，是以matlab编写-This is a mutual information based image registration procedures, the preparation is matlab
registration
- 基于互信息的图像配准，使用pso和powell优化算法，GUI界面，proj.m-Based on mutual information image registration, use the pso and powell optimization, GUI interfaces, proj.m
nonrigid_version7b
- 非刚性图像配准算例，包括最速梯度下降优化、二次样条、2D/3D配准、互信息最小化、3D仿射等多种配准算法。 非刚性配准是当前应用最多的配准方法，用于处理有较大位移的配准问题-Non-rigid image registration examples, including the steepest gradient descent optimization, quadratic spline, 2D/3D registration, mutual information minimizatio
MI
- 互信息：计算两幅图像之间的互信息-Mutual information: calculating the mutual information between two images
jiyulunkuozuidahuxinxi
- 用matlab编写的基于轮廓最大互信息图像配准算法-Prepared using matlab contour based on the maximum mutual information image registration algorithm
jiyuguiyihuaMi
- 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
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
peizhu
- 一种基于互信息算法的医学图像插值，或许有用-Mutual information based on medical image interpolation algorithm, perhaps useful
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
Multi2modalityMedicalImageRegistration
- 关于医学图像配准的一篇论文，轮廓特征点、最大互信息、多模态-Medical Image Registration on a paper, the outline of the characteristics of points, maximum mutual information, multi-modal
PowellRegistration
- 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
registration
- 图像配准，首先实现了简单的图像预处理，然后根据两种不同的配准准则，互信息和边交互方差作图像配准-Image registration, first of all to achieve a simple image pre-processing, and then two different registration criteria, mutual information and edge interaction variance for image registration
calMultiInfo
- 基于matlab得计算两幅图像的互信息得程序。-Matlab calculation based on two images of each other may have to process information.
图像处理评价指标
- 图像融合中的平均梯度、相关系数、信息熵、交叉熵、联合熵、均方误差、互信息、信噪比、峰值信噪比、均方根误差、空间频率、标准差、均值、扭曲程度、偏差指数等等(Average gradient, correlation coefficient, information entropy, cross-entropy, joint entropy, mean square error, mutual information, signal-to-noise ratio, peak signal-to-no