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刚体配准方法中,通常使用互信息函数作为相似性测度,此类提供计算的封装。-rigid registration method, which is commonly used as a mutual information function similar measure, the provision of such calculation package.
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关于图像配准的Matlab源程序,包括:GUI界面、图片选择窗口、最优化算法、互信息尺度、配准结果检验程序等。-image registration on the Matlab program, including : GUI interface, picture selection window, optimization algorithms, mutual information scale, test results registration procedures.
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用于图像配准等应用的互信息计算,为Matlab程序,比较简单,但很实用。-for image registration applications such as the mutual information, as Matlab procedures are relatively simple, but practical.
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GUI界面,proj.m 图片选择窗口,testListBoxlj.m 最优化算法,PSO.m,POWELL.m 互信息尺度,MI.m,EMI.m,RMI.m,HiMI.m,GMI.m,FPMI.m POWELL.m附属子程序oneDimSearch.m PSO.m附属子程序myMI.m 配准结果检验程序restore.m gobad.m对图像进行“平移”和“旋转” -GUI interface proj.m Photo selection window, testListBoxlj.m opt
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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程序。用matlab编写的。有助于理解互信息。-based on mutual information of image registration procedures. Prepared using Matlab. Contribute to the mutual understanding of the information.
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使用图像的互信息进行自动图像配准源代码,这个程序通过归一化后的图像互信息进行图像的自动配准。中间通过旋转等进行图像对齐。
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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
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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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一个基于互信息的图像配准源代码,采用粒子群优化算法源代码,可直接使用。-A mutual information based image registration source code, using particle swarm optimization algorithm source code can be used directly.
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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
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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
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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
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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
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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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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
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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.
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