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基于金字塔分解的互信息配准
- 关于基于金字塔分解的互信息配准，包含一篇基于金字塔分解的互信息配准的论文，金字塔分解的代码以及互信息度的代码
基于金字塔互信息配准
- 基于金字塔互信息配准的资料 包含论文，图像互信息，图像金字塔分解
MIFncObject
- 刚体配准方法中，通常使用互信息函数作为相似性测度，此类提供计算的封装。-rigid registration method, which is commonly used as a mutual information function similar measure, the provision of such calculation package.
mutual_registration
- 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-this source is based on mutual information image registration with the realization of Matlab, on the basis of need, not that the hero
PV_MI
- 三维图像配准中的互信息程序。加入边界处理。-脠媒脦 卢 脥 录 脧帽脜盲 脳 录 脰脨渭脛 禄楼 脨脜脧 垄 鲁 脤脨貌 隆 拢 录 脫脠毛 卤 脽 陆 莽
registration
- 电子文档，基于互信息的图像配准，配准的文献为局部互信息，还有香农信息论文献-Electronic documents, based on mutual information image registration, registration of documents for the partial mutual information, as well as the Shannon information theory literatu
mi_registration
- 2维的基于互信息的图像配准算法，使用powell法作为优化算法-2-dimensional mutual information based image registration algorithms, the use of law as the optimization algorithm powell
image_registration
- 图象配准文件,是基于互信息算法的,和大家一起分享.-Image registration documents, is based on the mutual information algorithm, and the U.S. share.
imageregistration
- 对于刚体变换的，互信息相似标准，进行；两幅图象的配准。-For a rigid body transformation, similar to mutual information standards two image registration.
Mutual-2D_Image-Registration
- 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
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
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,
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 extract
peizhun
- 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
MI
- 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
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
RegistrationPCurve
- 图像配准--最大互信息配准，是用MATLAB编程实现的-Maximum mutual information registration
MI_Optimization
- 使用互信息配准,效果很好，使用的是matlab(MI registration.Using matlb to develop)
互信息图像配准
- 基于图像互信息计算的图像配准方法，互信息为配准带来更高精度(Image registration method based on image mutual information calculation, mutual information brings higher precision to registration)