imm_cs

说明：  求lena图像的信息熵，图像大小为256X256(For lena image information entropy, image size is 256x256)

free-vision library,计算机视觉C++库，含有SAMPLE,非常经典！(free-vision library, computer vision C library, containing SAMPLE. very classic!)

很好用的图像分割方法，大家可以试一下，我运行过了(Very good segmentation method, very useful, you can have a try, I used the effect is very good)

基于图论法的图像分割，是基于Matlab平台分割(segmentation by graphcut)

介绍了混合高斯背景建模法提取运动目标的过程，自己写的，比较好理解，付视频一个，用自己的视频也可以(Describes the process of Gaussian mixture background modeling method to extract moving target, write your own, is better understood, paid a video, you can use your own videos)

说明：  基础SAD算法代码，最基本的图像匹配处理方法，也是最常用的基本法，有助于新手理解(Basic sad algorithm code)

说明：  基于小波变换，小波分解的图像融合算法，完整代码(Image fusion algorithm based on wavelet transform and wavelet decomposition, complete code)

图形处理，Visual C++图形编程技巧与实例源代码3(Graphics Visual C++ graphics programming techniques and source code examples 3)

连通域处理的函数简介，包含删除小面积对象，计算对象面积，删除边界对象等(Function of connected domain processing)

学习使用OpenCV，对输入的一段彩色视频，用OpenCV实现以下功能或要求: 1. 对输入视频的每一帧图像都用同一个阈值进行二值化； 2.在每帧二值化图像上叠加上含自己学号与姓名等信息的版权字幕； 3. 在处理的过程中，实时显示每帧图片处理之后的效果； 4.将所有这些二值化图像按视频原来顺序合成输出一个视频文件，按原输入视频播放速度的两倍合成； 5. 做成如下的命令行格式，xxx.exe 输入视频文件名 二值化阈值 输出视频文件名（例如 MyBiVideo.exe input.avi 50 output.avi ） 这里的二值化有两种选择，可以手动收入阈值，也可以直接用OTSU算法的较优阈值直接二值化。(Learn to use OpenCV, for some color video input, with the OpenCV following functions or requirements: 1. Each frame of the input video images are binarized using the same threshold value 2. superposed on the binarized image of each frame containing the copyright on the number and the name of their own learning subtitles other information 3. During processing, real-time display after processing each frame 4. All of these binarized image by synthesizing the video output of a video sequence of the original document, the original input composite video playback speed twice 5. made the following command line format, xxx.exe input video file name binary threshold value of the output video file name (eg MyBiVideo.exe input.avi 50 output.avi) Here there are two binary choice, you can manually income thresholds, you can directly use the optimum direct binarization threshold through OTSU algorithm.)