RK龙格库塔计算微分方程组

说明：  使用MATLAB语言编写的非高斯噪声程序，通俗易懂，非常好用(Using the MATLAB language for non-Gaussian noise process, user-friendly, very easy to use)

说明：  扩散映射置乱与超混沌系统组合图像加密算法 扩散映射置乱与超混沌系统组合图像加密算法(Combi ned i mage encryption a lgor ithm ba sed on di ffusi on mapped disorder and hyperchaoti c system s)

1.首先从文件菜单打开程序目录下的car.avi视频,系统将显示视频的第一帧。 2.点击背景提取菜单，稍后会提取出背景并显示在打开的第二个窗口中。 3.当提取出背景后，点击检测跟踪菜单，对车辆进行检测和跟踪。 4.点击轨迹绘制菜单，绘制车辆的轨迹。 注：由于使用OpenCV打开AVI视频文件需要视频解码器，故在程序运行前请在电脑上先安装DivX类型的的视频解码器，否则将出现无法打开文件的错误。本程序使用的是OpenCV2.1版本，在没有安装此版本软件的机器上运行时需要将cv210.dll,cvaux210.dll,cvcore210.dll,highgui210.dll,ml210.dll这五个文件拷贝至*.exe可执行文件下。(First, open the CR. AVI video from the file menu and the system will display the first frame of the video. 2. Click on the Background extract menu and the background will be extracted later and displayed in the open second window. 3. When the background is extracted, click on the Test Tracking menu to test and track the vehicle. 4. Click on the trajectory drawing menu to map the trajectory of the vehicle. Note: Since a video decoder is required to open an AVI video file using OpenCV, install a DivX-type video decoder on the computer before the program runs, otherwise an error will occur that can not open the file. The program uses OpenCV2 .1, which requires five files to be copied to *, cv210. DLL, cvaux 210. DLL, cvcore 210. DLL, highgui 210. DLL, ML 210. DLL. Exe under executable.)

应用IHS、PCA、小波变换进行多光谱图像融合(Multispectral image fusion based on IHS, PCA and wavelet transform)

说明：  ransac算法实现，图像匹配使用，消除不是正确匹配的对应点。(ransac)

MATLAB经典算法程序源代码,相当经典()

说明：  用平方根算法进行矩阵的优化，以便使用卡尔曼滤波获得精确的值(kalman filter and pingfanggen method ，using it can obtain accurate value )

说明：  计算机视觉 dlt 相机标定 简单易懂 注释清晰(Calibration of computer vision DLT camera is simple, easy to understand and clear to note cv)

DensePose用深度学习把2D图像坐标映射到3D人体表面上，再加上以每秒多帧的速度处理密集坐标，最后实现动态人物的精确定位和姿态估计。该技术集目标检测、姿态估计、目标部分/实例分割等多种计算机视觉任务于一身的一个综合问题。(DensePost maps 2D image coordinates to 3D human body surface by in-depth learning, and processes dense coordinates at the speed of multiple frames per second. Finally, it realizes precise positioning and attitude estimation of dynamic characters. This technology integrates many kinds of computer vision tasks, such as target detection, attitude estimation, target part/instance segmentation, etc.)

基于Hough 变换的SAR 图像舰船尾迹检测方法。该文引进了K均值聚类方法,将这些点集归类,归类后的每一类的类心能很好的代表一条尾迹,实验结果表明方法是有效的。(Hough transform based on SAR images of ship wake detection. The introduction of the K-means clustering method to classify these points, is classified in each category after the class on behalf of the heart can be a good wake, experimental results show that the method is effective.)