Watershed segment the contents is about watershed

Add a video background to the segmented video -Add a video background to the segmented video

程序中包括图像处理的各种经典算法，如：二值化，均衡化，灰度切片，腐蚀膨胀，粗化细化，边缘提取等，有助于初学者掌握图像处理的VC编程方法。-Procedures include a variety of classic image processing algorithms, such as: Binarization, balanced, and gray-scale slices, corrosion expansion coarsening thinning, edge detection and so on, will help beginners master the VC image processing programming method.

边界检测，通过灰度变快慢换查找边界，设置阈值。-boundary detection，Through the gray variable speed in search boundary，Setting threshold.

该源码是spiht多集树集合编码算法的图像编码，-The source tree is a collection of episodes SPIHT coding algorithm image coding,

这是一个将bmp格式的图片转换为jpeg格式文件的程序-This is a bmp format images will be converted to jpeg format program

本程序实现汉字和字符的识别匹配，通过该算法，可以实现手写体的字符和汉字的识别-This procedure to achieve identification of characters and character matching, through the algorithm, can achieve the character and Chinese character handwriting recognition

在VC6.0中的一些基本操作,常常用来进行简单的学习和常规的练习 -in VC6.0 of some of the basic operations, often used for the study and simple conventional exercise

本文实现了在连续视频数据流中几种不同的运动检测算法，他们都是基于当前帧图像和前一帧图像的比较，程序使用了AForge.NET framework库。其中的示例代码支持下面几种视频格式：AVI文件、网路相机的JPEG和MJPEG，本地的采集设备(USB相机等)。-In this paper, the realization of the continuous video data stream in several different types of motion detection algorithm, they are based on the current frame image and an image before the comparison, the procedures used AForge.NET framework library. One of the following sample code to support several video formats: AVI files, network camera JPEG and MJPEG, the local collection of equipment (USB camera, etc.).

（1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象； （2）将所有子图象按列相接变成一个81维的行向量； （3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量； （4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。 （5）求出所有子块的特征向量。 -(1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector.

互信息方法求DUFFING方程的延迟时间-Mutual information method for delay equations DUFFING