reconstruction

Camshift算法，即"Continuously Adaptive Mean-Shift"算法，是一种自适应的运动跟踪算法。它主要通过视频图像中运动物体的颜色信息来达到跟踪目的。(Camshift algorithm, namely " Continuously Adaptive Mean-Shift" algorithm is an adaptive motion tracking algorithm. It is primarily the color information of the object' s movement through the video images to achieve tracking purposes.)

在信号与系统中，用希尔伯特变换对最小相位信号的实部和虚部进行相互变换，同时包含连续时间傅里叶变换(CTFT),反连续时间傅里叶变换（ICTFT），离散时间傅里叶变换（DTFT），反离散时间傅里叶变换（IDTFT）的程序(In signal and system, transform the real and imaginary part of the signal with minimum phase using Hilbert Transform. CTFT,ICTFT,DTFT and IDTFT are also included.)

对局部放电进行小波变换模式识别，解决放电破坏设备问题(Wavelet Transform Pattern Recognition for Partial Discharge)

总和代码用于视频异常检测，是我论文的代码，需要的可以下载看看(The sum of the code for the video anomaly detection is the code of my thesis can download the required look)

dtcwt 双树复小波的matlab工具箱,(dtcwt dual tree complex wavelet Matlab toolbox,)

这是一个工具箱，可以对经过平行视觉处理之后的图片进行三维重建，得到视差图。GUI操作，简单易懂，功能强大。(This is a toolbox which can reconstruct the 3D picture(stereo matching or stereo construction) with 2 pictures from parallel view. You can finish the process with GUI easily. )

應用視覺密碼原理之浮水印技術，包含程式碼與原始論文檔(Application of the principle of visual cryptography watermark technology, contains the original code of the document)

自己设计的GVF模型图像分割程序，改进了初始轮廓的选择方法，快速分割。(GVF model designed image segmentation process to improve the initial outline of the selection method, rapid division.)

实现基于四叉树分解的局部化互信息。参考文献：Image fusion performance metric based on mutual information and entropy driven quadtree decomposition(Compute the Image fusion performance metric based on mutual information and entropy driven quadtree decomposition.)

这是2004年一篇重要的角点检测文献的配套Matlab源码。该算法的效果比SIFT、Harris、Susan等算法的检测效果更好。本压缩包中有从Matlab官方网站下载的源码，以及2004年那篇文献，对该算法做了详细解释。(This is 2004, an important corner detection literature supporting Matlab source code. Of the algorithm is better than SIFT, Harris, Susan, such as better detection algorithm. The compressed package from the official website to download the Matlab source code, and in 2004 came across the literature, the algorithm to do a detailed explanation.)