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flysky1000
- 互信息医学配准原代码!主要用于医学处理中!采用MATLAB来处理两幅图像的配准问题-medical information among the original registration code! Mainly for the purposes of medical treatment. MATLAB to deal with the two images The registration issue
sift-0[1].9.18.tar
- 用sift算法进行图像的匹配。可以两幅不同的图像中进行点对点的匹配。很好的图像匹配的算法。用matlab编程-Using sift algorithm for image matching. Two different images can be carried out point to point matching. A very good image matching algorithms. Programming using matlab
Uppiictures
- 用MATLAB对两幅图片进行图像匹配，程序源码运用了两种匹配算法:1.一种种基于灰度值的模板匹配2.模板匹配的改进算法使用界面输入输出方式 -Using MATLAB for image matching two pictures, the program source code using two matching algorithms: 1. A various gray value-based template matching. Improve template matching
ssift-mattchi
- sift特征点提取代码和对两幅图像提取特征点后进行特特征点匹配，可用于图像拼接等。c和matlab代码都有 -sift feature point extraction code and the special feature points matching image stitching, etc., can be used to extract feature points of the two images. c and matlab code has
1
- 用matlab程序对两幅图像进行对比分析-Comparative analysis of the two images using matlab program
comparison
- 实现两幅二值图的比较，基于matlab环境。内附实验图像，输出两幅图像的距离。距离越大，相似度越低 -The realization of the two pieces of two value image comparison, based on the MATLAB environment. Containing the experimental image, the output of two images of the distance. The farther the distan
mi
- 计算两幅图像的互信息，用matlab编程-Calculate the mutual information of the image, matlab programming
sift-Matlab
- Matlab 写的sift查找特征点和特征匹配的算法代码。 输入两幅图像，检测特征点并匹配，输出匹配结果-Matlab write sift Find feature points and feature matching algorithm code. Enter the two images, the feature point detection and matching, output matching results
Wpsnr2
- 图像质量评价方法-Wpsnr 采用HVS的图像相似度准则计算WPSNR 下面的MATLAB程序计算两幅图像的加权峰值信噪比。相比常用的PSNR而言，考虑到HVS(human visual sytem)的影响。-Image quality uation method of image-Wpsnr similarity criteria using HVS computing program MATLAB WPSNR below the weighted peak signal
mixture_of_gaussians
- 计算机视觉中最重要的研究之一就是运动目标检测，其不但在模式识别方面具有相关的研究，而且在图像理解领域也有非凡的意义。运动目标检测是通过通过图像序列帧图像来提取运动目标，通过运用相关的算法一幅图片被划分为前景点和背景点。运动目标检测算法是后续的运动目标分类、运动目标跟踪和分析提供了基础。本论文讲述了几种常用的视频运动目标检测算法，并就背景差分法进行了重点研究，通过两种方法来对比差分法的特点。其中背景差分法算法的主要流程为：视频获取、视频转化为图片序列、图片灰度化处理、去除噪声、差分图片、对图片进行
libviso2
- 用于计算移动的单目或者双目相机姿态。可以计算两幅图像视差，场景深度-LIBVISO2 (Library for Visual Odometry 2) is a very fast cross-plat (Linux, Windows) C++ library with MATLAB wrappers for computing the 6 DOF motion of a moving mono/stereo camera.
图像拼接
- 可以实现简单的两幅图像拼接。。。。。。。。。(Can achieve a simple two images stitching)
SIFT特征匹配（matlab版）
- 非常好用，可以提取两幅图像的同名点，匹配，配准，一整个流程，都可以实现，代码注释易懂，简单易学(Very useful, can extract two images of the same name points, matching, registration, a whole process, can be achieved, code annotations easy to understand, easy to learn)