SURF

（1）在工具栏中点击“打开”功能出现文件打开窗口，用户选择一幅bmp图片后在指定区域居中显示该图片，若图片尺寸小于指定区域则按原始大小显示；若大于则按合适比例显示。 （2）鼠标指针在图片上停留时显示为十字形，同时在控件下方固定位置显示鼠标所在的图像x坐标和y坐标（如：50，100），以图片左上为坐标原点。 （3）在工具栏中可以点击控件实现在图片上绘制一次直线、矩形或圆等图形，在绘图过程中要求图片和图形一直可见，不能出现刷新痕迹，绘制的图形可以任意修改形状。 （4）可以任意选择图形线条的类型（虚线或直线）、颜色（三种）及粗细（三种），要求选择方式可以叠加，绘制过程要求可任意连续执行。 （5）在工具栏中点击“保存”功能出现文件保存窗口，用户可以选择保存路径来保存当前图片操作结果（包括图片和图形）。 （6）点击“关闭”功能，关闭当前图片，若操作结果尚未保存则必须弹出对话框提示用户进行保存。 ((1) in the tool bar, click on Open function has the file open window, the user selects a bmp image to center the picture in the designated area, if the image size is smaller than the specified area press the original size if more than press the appropriate scale display. (2) is shown as a cross when the mouse pointer over the image, while displaying an image x and y coordinates of the mouse cursor in a fixed position below the control (eg: 50,100) to image the upper left of the coordinate origin. (3) in the toolbar you can click controls to achieve a draw straight lines, rectangles or circles and other graphics on the picture, the requirements of pictures and graphics in the drawing process has been seen, it can not appear refreshed traces drawn graphics can be modified shape. (4) can choose the type of graph line (dashed or straight), color (three kinds) and thickness (three kinds), asked to choose the way can be superimposed, can arbitrarily draw process requires continuous exe)

说明：  自由曲面光学透镜的图像变换面形测量系统与精度建模(Free-form optical lens image transformation shape measurement system with precision modeling)

polsarpro软件的使用说明，适合处理极化SAR图像。(polsarpro the software instructions for dealing with polarization SAR images.)

采用了Harrtraining和离子滤波算法实现了拥挤人群人头计数，非常有用。VC++和Opencv开发，采用Oepncv中的Harrtraining训练一个分类器即可运行(Human detection and tracking in high density crowds is an unsolved problem. Standard preprocessing techniques such as background modeling fail when most of the scene is in motion. We integrate human detection and tracking into a single framework, and in- troduce a conrmation-by-classication method to estimate condence in a tracked trajectory, track humans through occlusions, and eliminate false positive detections.)

红外与可见光实时融合算法 ------------------------------------ 若不能读取xvid视频，请安装XviD-1.1.3-28062007.exe。 ----------------------------------- 请双击*.bat文件看程序运行结果。 也可以在命令行下，输入“evs3 参数文件.xml 配准.xml”，以融合指定的多源视频图像。 ---------------------------------- 首先，离线地时空配准多源视频，并保存结果到xml文件。然后融合配准后的图像。融合过程是，通过分解图像为Laplacian金字塔，分别对图像的高频和低频按照规则合并，最后将Laplacian金字塔重新组合为图像。(Real time fusion algorithm for infrared and visible light------------------------------------If you cannot read XviD video, please install XviD-1.1.3-28062007.exe.-----------------------------------Double-click the*.bat file to see the program running results.Can also be in the command line, " evs3 input parameter file .Xml .Xml registration ", by the fusion of the specified source video image.----------------------------------First of all, offline space-time registration source video, and save the results to a XML file. After registration and fusion image. Through the decomposition of the image fusion process, Laplacian Pyramid, were on the high-frequency and low frequency image in accordance with the rules of the merger, Laplacian Pyramid reassembled for image.)

N年前上数字图像课时写的实验报告和程序，用滤波反投影（Filter Back Project，FBP)法重建图像。(Report and source code for data image restore experiment, using FBP.)

vb仿大漠屏幕找图，速度极快 屏幕找色点 图像查找visualbasic vb6找图(VB,VB6,VISUAL BASICK ,FIND PICTURE ,QUICK SEARCH IMAGE.SEARCH PICTURE)

该程序能够实现图像的二值化，基于C语言的。实现的效果很好(The program to achieve a binary image, based on C language. Achieve a good effect)

硕士学位论文:在高分辨率成像声纳系统和回波测深仪的两个控制平台的基础上对声纳图像数据的高速显示技术的研究。文中所有的程序编写都是使用C和C++语言，在WindowsXP平台下利用VC++6．0进行编译和调试的。(study for high speed display technology on sonar image data)

一幅大小为256×256的256级灰度图像（每像素8bit） 如果图像的各个像素之间是统计独立的，求该图像的信息熵 -离散无记忆信源 如果图像的各个像素之间不是统计独立的，求该图像的信息熵 -图像像素的概率分布模型(A 256 gray scale image (8bit per pixel) with a size of 256 x 256 If each pixel of the image is statistically independent, the information entropy of the image is calculated Discrete memoryless source If each pixel of the image is not statistically independent, the information entropy of the image is calculated Probability distribution model of image pixels)