phase-history-domain

雷达扫描程序，图形界面中显示雷达的运动情况。程序简单。可以学习 (AppWizard has created this spp application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your OpenGl application. )

求解声压级，总声压，三分之一倍频程，倍频程，能量谱密度(get one third octave)

基于DWT的图像自适应增强 ，可以用于图像增强的源代码(matlab)

Jsteg算法实现基于JPEG图像的信息隐藏(Jsteg algorithm information hiding based on JPEG image)

对两幅遥感图像进行变化监测，先求得差值图像，然后用FCM聚类方法分成变化类和不变类(On two remote sensing image change detection, the first difference image is obtained, then FCM clustering into the same category and class changes)

经典的双树复小波分解包经典的双树复小波分解包经典的双树复小波分解包(a toolbox of dtcwta toolbox of dtcwta toolbox of dtcwt)

本程序实现了对影像特征点自动提取，利用Morevac、Forstner、Harris3个经典算子。在此基础上利用相关系数法实现影像自动匹配，并且引入最小二乘平差，使匹配点精度有所提高。 在搜索点过程中，利用了核线影像特性，对二维影像搜索使用了爬山法启发式搜索。对大数据量影像采用影像金字塔结构处理。 1、使用GDAL库读取影片，支持TIFF、PNG、JPEG、JPG、BMP、GIF、IMG格式读取。使用GDI绘图。 2、防止大数据量绘图视图闪烁，图片显示采用双缓存技术。 3、保存视图数据为图片文件，支持TIFF、PNG、JPEG、JPG、BMP、GIF格式保存。 4、TreeCtrl控件、ListCtrl控件的基本操作。 5、MFC单文档程序视图通讯、更换视图、视图分割。(This program of image features automatic extraction point, use Morevac, Forstner, Harris3 a classic operator. Based on the correlation coefficient method using the image matching, realization and introducing least squares adjustment, the matching point to improve precision. In the search process, the use of the image characteristics of nuclear line, 2d image search using the heuristic method of climbing. For large quantity of data using image processing image pyramid structure. 1, using film, read GDAL repository support JPEG, TIFF, PNG, GIF, BMP, JPG, read IMG format. Use GDI drawing. 2 and prevent large amount of data, drawing view pictures showed adopt double caching techniques. 3, save for the image file, views data support JPEG, TIFF, JPG, PNG, GIF, BMP format. 4 and TreeCtrl controls, the basic operation ListCtrl controls. 5 and MFC single document procedure view communication, replace view, view.)

实现混合高斯的功能，再次基础上可进行任意操作(The function of mixed Gaussian can be realized, and any operation can be carried out on the basis of it again.)

交通视频车辆检测，实现步骤为： 1.读取视频文件 2.利用图像提取相关算法检测单帧图像中的车辆 3.车辆检测算法应用于视频图像中 4.将结果可视化(Traffic video vehicle detection, the steps of: 1. Read the video file 2. Image extracting the vehicle in a single image of the correlation algorithm detecting vehicle detection algorithm applied to the video image. Results visualization)

介绍ransac的matlab程序，用在图形图像基于特征点的配准中 可以有效的剔除错误的匹配点 (介绍ransac的matlab程序，用在图形图像基于特征点的配准中 可以有效的剔除错误的匹配点 )