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1下载：
图像融合结果的评价参数m文件，用于一般图像参数评价,matlab-image-fusion
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5下载：
基于SIFT的图像配准程序
SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点,其匹配能力较强,可以处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题,甚至在某种程度上对任意角度拍摄的图像也具备较为稳定的特征匹配能力,SIFT-based image registration procedure is the SIFT feature matching algorithm for matching feature points at home and abroad a hot
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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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SAR图像和光学图像的配准算法！！！matlab源码~~~~绝对好！-SAR image and optical image registration algorithm! ! ! matlab source code ~ ~ ~ ~ definitely good!
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nonrigid_version10: Registration of two 2D images or 3D volumes both rigid and non-rigid with smooth b-spline grid without landmarks
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该程序用matlab实现俩副图像的拼接，里面有自带的图，希望对大家有所帮助-The procedure used to achieve the two vice-image matlab splicing, which has its own plans, I hope all of you to help
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图像配准image registration
图像配准image registration-Image registration image registration image registration image registration
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RANSAC image registration software
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使用混合高斯函数，对点配准的方法，他的鲁棒性比较好。
-This package contains the MATLAB code for the robust point-set
registration algorithm discribed in the A Robust Algorithm for Point Set Registration Using Mixture of Gaussians."
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主要是对视网膜图像进行血管分割，效果还不错-Primarily on retinal vascular image segmentation, the effect was not bad
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多种方法图像配准，不足之处还请多多指教！-Image Registration in a number of ways
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离散小波帧分解的医学图像配准研究 小波分析-Discrete wavelet frame decomposition study of medical image registration
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Registration of two 2D/3D images, rigid and with smooth b-spline grid.
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automatically register 2 images in matlab
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working with adaptive filters image-registration-working with adaptive filters image-registration
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registration image.two image register
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background regestration
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matlab program about image registration feature point based
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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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