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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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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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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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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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基于互信息的图像配准程序.主要是基于PSO和POWELL算法。-The mutual information based on image registration procedures
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摘 要 为了实现快速精确的图像配准, 提出了基于改进粒子群优化算法的互信息图像配准方法, 以互信息作为图像配准的相似性测度, 使用改进的 PSO 算法来求解配准所需的空间变换参数 改进的粒子群算法引入组织的概念把整个种群划分为多个子群体共同进化, 并引入变异运算减少算法陷入局部最优 把改进的粒子群优化算法应用到医学图像配准领域上来, 实验结果表明, 算法能够得到比较满意的配准结果-Abstract In order to realize the fast precise image regist
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用互信息方法做的图像配准,效果很好,不足就是运行时间太长-Image registration operated by mutual information method works well, the lack of it is that running time is too long.
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图像配准程序,powell搜索策略,互信息准则,测试正常-Image registration procedures, powell search strategy, mutual information criterion
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