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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
peizhun.rar
- 基于互信息的图像配准源代码，采用粒子群优化算法,Based on Mutual Information Image Registration source code, the use of particle swarm optimization algorithm
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,
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
mRMR_0.9_compiled
- 利用互信息进行特征抽取的方法实现，能找到最具代表的特征，有效的实现了计算量的减少和可用来维数缩减-The use of mutual information feature extraction method of implementation, to find the most representative characteristics of an effective implementation of the computation of the reduction and can be
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
huxinxituxiangpeizhun
- 基于互信息的图像匹配程序，使用powell算法，pv插值法。应用在医学图像的配准领域-Mutual information-based image matching procedures, the use powell algorithm, pv interpolation. Used in the field of medical image registration
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
mi
- 对图像进行计算互信息，从而进行影像匹配。互信息非常适合多源遥感影像的匹配，改算法非常适用-The image calculated mutual information, thus to image matching. Mutual information is ideal for multi-source remote sensing image matching algorithm is very applicable to
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
UserSession
- 采用基于互信息的方法对两幅图像进行配准，对光照变化具有一定的自适应性。-Mutual information-based method of matching two images of the illumination change has a certain adaptability.
EMI
- 互信息尺度EMI.m,互信息尺度EMIEMI函数-Mutual information measure EMI.m, EMI function
GMI
- 互信息尺度GEMI.m 。函数-Mutual Information-scale mutual information GEMI.m scale GEMI.m. Function
Rossler_mutual
- 互信息方法求ROSSLER方程的最佳延迟时间-Mutual information method for the best ROSSLER delay equation
duoguangputuxiangpeizhun
- 本文针对多光谱图像配准中不同光谱图像间存在较大的灰度差异、同一景 物在不同波段表现的特征也各不相同等问题，提出了基于互信息相似性测度的 多光谱图像配准算法。-In this paper, multi-spectral image registration between images in different spectral gray there is a big difference, the same scene in different performance character
基于互信息的肝脏图像配准算法研究
- 基于互信息的肝脏图像配准算法研究 肝脏是人体重要的消化器官，肝脏疾病直接影响到人的生命健康。医学影像 学的快速发展为临床诊断提供了丰富直观的医学图像，肝脏CT增强扫描图像使 用造影剂可以在不同相期得到肝动脉与肝静脉高亮的图像，而不同模态的肝脏图 像反映了不同的病理信息。单一相期图像和单一模态图像往往都不能全面反映出 病理信息，通常融合不同肝脏相期图像和不同模态的肝脏图像可以提供更丰富的 信息以便医生掌握病变肝脏的综合信息，从而做出正确诊断或制定出合适的治疗 方案。而这首先要将待融合
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)