SSIM (2)

摄影测量后方交会matlab源代码,用于解算外方位元素,课堂编程作业(Photogrammetry Resection matlab source code for solving the exterior orientation elements, classroom programming assignments)

说明：  用MATLAB读取一幅任意大小和格式的彩色图片，并将图片数据保存到dat格式的m代码，同时还可以读取TXT格式的数据文件，并在MATLAB将其以图像的形式显示出来(Using MATLAB to read any size and format of a color image, and image data into m code dat format)

程序设计步骤： 1、去均值 2、计算协方差矩阵及其特征值和特征向量 3、计算协方差矩阵的特征值大于阈值的个数 4、降序排列特征值 5、去掉较小的特征值 6、去掉较大的特征值(一般没有这一步） 7、合并选择的特征值 8、选择相应的特征值和特征向量 9、计算白化矩阵 10、提取主分量(Programming steps: 1 to mean 2, calculation of covariance matrix and its eigenvalues and eigenvectors 3, the calculation of covariance matrix eigenvalues greater than the threshold number of 4, in descending order of eigenvalue 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, computing whitening matrix 10, principal component extraction)

文档介绍了大量离散实验数据的平滑滤波处理方法(Document describes a large number of discrete experimental data smoothing filter processing method)

说明：  opencv入门程序，使用opencv模式读取图像并显示，在vs环境下调用matlab进行图像读取和显示(opencv entry procedures, read the image using opencv mode and display, in the vs environment, call matlab to read and display the image)

包滤波器，主要功能是在给定的滑动窗口大小下，对每个窗口内的像素值进行相加求和(Packet filter, the main function is given under the sliding window size for each window of the pixel values ​ ​ summed)

2维的基于互信息的图像配准算法，使用powell法作为优化算法(2-dimensional mutual information based image registration algorithms, the use of law as the optimization algorithm powell)

这是本人做的本科毕业设计，被评为优秀毕业论文，用matlab编写的基于图像处理的纸牌识别系统(This is I do undergraduate course graduation design, evaluated the outstanding graduate thesis, with matlab based on image processing the card identification system )

一种基于匈牙利算法和相关向量机的点模式匹配算法，可以有效解决点集的刚性和非刚性变换的参数求解问题。(A point set registration method based on Hungarian Algorithm and RVM which can well solve the parameters of rigid and non-rigid transform.)

说明：  最大类间差法对视网膜血管进行分割，亲测有效。(The method of maximum class difference is effective for the segmentation of retinal vessels.)