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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.
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
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
PSO_RMI
- 基于粒子群算法和区域互信息的图像配准，区域互信息比传统互信息具有更好的鲁棒性-Based on Particle Swarm Optimization and regional mutual information image registration, regional mutual information than the traditional mutual information has better robustness
peizhun
- 一个用Matlab编写的利用互信息的关于图像配准的程序-Matlab with the preparation of a use of mutual information on the procedures for image registration
11811379850
- 图像配准，用malat平台做的图像配准小程序。有利于研究最大互信息图像处理的研究。-Image Registration
im_registr_MI
- 基于最大互信息的图像配准算法源程序。 matlab编写。-Maximum mutual information based on the source image registration algorithm. the preparation of matlab.
peizhun
- Matlab实现的图像配准程序，运用互信息，PSO等进行了优化。 -Matlab to achieve image registration procedures, the use of mutual information, PSO, etc. were optimized.
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,
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
peizhun
- 实现两幅图像的配准，首先对图像做高斯低通滤波处理 ，然后计算互信息值，利用PWELL算法求出最优的参数，根据所得参数进行配准-To achieve the registration of two images, the first image to do the Gaussian low-pass filter, then calculate the mutual information value, use PWELL algorithm to determine the optimal pa
peizhun
- 基于互信息的刚性配准医学图像配准技术是今年来医学图像处理领域中的重要研究问题，推崇寻找某种适当的空间变换，使两幅图达到空间位置上的定位和配准，进而进行图像融合。医学图像配准在临床诊断、治疗、质量保证和疗效评价等方面具有重要的应用价值。-Mutual information-based rigid registration of medical image registration technology to medical image processing field this year, an