MatLab

说明：  在matlab环境下对视频中的运动目标进行检测，动态目标检测(In the MATLAB environment, the moving object detection in the video, dynamic object detection)

Images of diffraction

对红外图像进行增强，采用多小波分解进行分层增强(Infrared image enhancement, wavelet decomposition of multi-layered enhancement)

本人自己实现的单纯meanshift跟踪算法.按原理编译,适合初学者参考(I own a simple realization of the tracking algorithm meanshift. In accordance with the principle of the compiler, suitable for beginners reference)

由图像的灰度，恢复三维物体的形状，包括源程序和图片(By the gray scale image to restore the shape of three-dimensional objects, including source code and pictures)

图像几何校正，把歪斜的图像校正成正视图。。(Perspective correction)

此代码为显著性检测代码，显著性检测效果不错(This code is a significant detection code to detect significant good results)

该程序为直方图均衡化程序，附有GUI界面，操作简单，可现实处理前后图像对比及处理前后的直方图分布情况显示，使用方便。(The program for histogram equalization program, with GUI interface, simple operation, the histogram distribution around the reality that is processing the image before and after treatment, easy to use.)

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.)

实现图像配准:线性保角变换，投影变换及仿射变换。(Achieve image registration: linear conformal transformation, projection transformation and affine transformation.)