搜索资源列表
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
- 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
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
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
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
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
PSORegistration
- 基于互信息的图像配准源码,优化算法使用粒子群算法-Based on Mutual Information Image Registration code, optimizing the use of particle swarm optimization algorithm
PowellPSORegistration
- 基于互信息的图像配准算法,优化算法采用Powell和粒子群向结合的算法-Based on mutual information image registration algorithm, using Powell optimization algorithm and particle swarm algorithm to combine
MI
- 基于互信息的医学图像配准算法中的互信息的matlab程序-MI
Powell.SA.MI.registration
- 本人的计算机硕士论文,Powell和SA混合优化的互信息图像配准,-I am a computer master' s thesis, Powell, and SA Hybrid Optimization of mutual information image registration,
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
RegsiterFM
- 这是基于互信息的图像配准程序,实现起来比较简单,是用matlab实现的-This is based on mutual information image registration procedure is relatively simple to achieve them, is achieved using matlab
resource
- 基于互信息的图像配准 VC6++ C语言编程 有界面-resource.h
Geneticalgorithmandthelargestmutualinformationmedi
- 遗传算法和最大互信息对于医学图像配准的研究-Genetic algorithm and the largest mutual information medical image registration algorithm of research
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
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)