天文导航_导航星星图生成

改进的有效边表算法，来自计算机图形学的简单代码(Improved active edge table algorithm, a simple code from the computer graphics)

对静态图像应用canny算法提取边缘特征(The edge feature is extracted by canny algorithm of static image)

modis一般是hdf数据，使用MRT（MODIS Reprojection Tool）工具可以将数据装换为.tif格式以及提取拼接(Modis is commonly HDF data, and the data can be reprojected to the.tif format and outprojection using the MRT (modis Reprojection Tool))

说明：  实现图像配准，两幅不同来源的数据配准，可直接运行，效果直观(Image registration, two different sources of data registration)

这是一个相机标定程序，有数据检验，求出两个相机的投影矩阵，用于双目视觉(This is a camera calibration procedures, test data, obtained two camera projection matrix for the binocular vision)

很好用的svm工具箱，dagsvm对于图像分类效果非常好，分类精度很高，代码清洗简单。(Good use of SVM Toolbox, dagsvm for image classification effect is very good, very high classification accuracy, code cleaning easy.)

实现对图像的任意形状的裁剪。注意：图像裁剪后带有背景色(Realization of arbitrary shape image cropping. Note: the image is cropped with a background color)

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.)

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.)

用重心法实现光斑中心定位，matlab程序(Facula Center Location by the Method of Center of Gravity)