相关系数

Iris数据集，计算协方差矩阵和相关系数矩阵和kl变换(The goal of this programming experiment is to: Calculate the covariance matrix and the correlation coefficient matrix of the Iris data set. Perform the Karhunen-Loeve transform on this data set.)

应用投影算法对TV模型快速求解，并将算法应用到图像去噪中(The projection algorithm is used to solve the TV model quickly, and the algorithm is applied to image denoising)

用spiht写的图像压缩代码，适用于基于DWT的图像压缩，欢迎下载(Written by SPIHT image compression code, the application of DWT-based image compression, welcome to download)

说明：  基于matlab的指纹识别源码 包括预处理、特征点提取和特征点匹配(Fingerprint recognition source code based on MATLAB includes preprocessing, feature extraction and feature matching)

一系列处理图片算法，简单的图片放大，打开时请打开project902.dsw，直接编译请重新下载(A series of image processing algorithms, simple image enlargement)

说明：  小波应用于图像融合的程序，选择的是5层小波分解(applied wavelet image fusion procedures, the choice is a five-storey wavelet decomposition)

针对目前工业制造领域面临的难题,提出利用非量测数字摄像机进行工业钣金件高精度三维重建与视觉检测.采用二维直接线性变换分解摄像机参数初值并结合光束法平差进行高精度标定 利用最小二乘模板匹配提取像面上的点、直线信息并进行混合光束法平差,从而进行钣金件的高精度三维重建及其尺寸制造误差的检测.所开发的视觉检测系统硬件成本低、自动化程度较高,实际数据的多次实验均取得了优于1/8 000的相对精度,说明所论述的方法为工业零件的自动化三维检测提供了一条可行途径.(View of the current challenges facing the field of industrial manufacturing, made use of non-metric digital camera precision sheet metal parts for industrial reconstruction and visual inspection. Using two-dimensional direct linear transformation and the decomposition of initial parameters of the camera bundle adjustment with high accuracy calibration extracted by the least square template matching, like the surface of point, line information and mixed bundle adjustment to the three-dimensional reconstruction of high-precision sheet metal parts and the size of the detection of manufacturing errors. visual inspection system developed by the hardware low cost, high degree of automation, the actual data, many experiments have achieved better than 1/8000 of the relative accuracy, that the methods discussed in the automation of industrial components to provide a feasible three-dimensional detection approach.)

运动的小球、一般本科需要的课后作业设计。有兴趣的可以下载看看(The ball movement, the general undergraduate required homework designs. Interested parties can download and see)

运用pca算法降维，提取主要特征值，从而达到降维目的(Dimensionality reduction using pca algorithm, extract the main features of the value of)

说明：  使用shp文件裁剪矢量数据，可自己选择矢量文件，栅格文件，输出文件(Use SHP file to crop vector data. You can choose vector file, grid file and output file)