搜索资源列表
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Descr iption: Functions for aligning images by rotation and translation: image_registr_MI.m
MI2 - calculating Mutual information
joint_h - calculating Joint histogram
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互信息图像配准，采用matlab实现，主要用于多模医学图像-mutual information image registration using Matlab to achieve, mainly for the Multi-Modal Medical Image
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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
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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
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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
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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
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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
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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
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图象配准源程序一，
GUI界面，proj.m
图片选择窗口，testListBoxlj.m
二,最优化算法
PSO.m
POWELL.m
三，互信息尺度
MI.m
EMI.m
RMI.m
HiMI.m
GMI.m
FPMI.m
四，POWELL.m附属子程序
oneDimSearch.m
五，PSO.m附属子程序
myMI.m
六，配准结果检验程序
restore.m
七，
gob
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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
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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
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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
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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
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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
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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
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本代码是利用互信息法进行配准，多分辨率优化地刚性配准。-The code is the use of mutual information registration method, multi-resolution optimization to rigid registration.
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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,
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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
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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
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基于互信息的图像配准方法，用最大互信息对两张图片进行配准，得到他们相同的部分并以此为结果显示-Based on mutual information image registration by maximization of mutual information on the two pictures, registration, and get them the same part and the results show that
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