采用Visual c++ 进行图像处理，已经经过检测，非常实用，本源码主要是滤波...

由视频提取出背景，是动态提取背景的问题，调用了opencv中的几个函数-Video extracted from the background, is a dynamic extraction of the background of the problem, call a few functions in opencv

并行边界分割、串行边界分割、并行区域分割、串行区域分割、Canny算子-boundary segmentation parallel, serial boundary segmentation, regional segmentation parallel, serial regional segmentation, Canny operator

韩国INTIME的MPEG4,带H.264硬编解码的驱动和用户使用手册-INTIME C USER GUIDE

最佳门限跳数8，每秒跳2，用户一个，实现比较简单-The best threshold of 8 hops per second jump 2, the user a relatively simple to achieve

图像处理例程的Visual C++工程在ImageProcessing目录下(本例程仅仅考 虑真彩和灰度图像，对256色索引图像没有考虑)。-Image processing routines of the Visual C++ Works ImageProcessing directory (this routine only consider the true color and grayscale images, indexing images of 256 colors does not take).

用Hough变换方式检测图像中的圆，vc++可以实现-use Hough transform methods for detection of the image, round can be achieved vc

图像变换之opencv 用hough变换检测线段-Opencv image transform of line segment detection using hough transform

基于均值漂移算法实现图像的分割，总共带有三个文件，其中两个是两个子程序-Based on mean-shift image segmentation algorithm, with a total of three documents, two of which are the two subroutines

在opencv下使用Kalman滤波器实现跟踪一个旋转的点-In opencv using Kalman filter to track a rotating point

SUSAN算法源码及其论文资料，包括了源程序和论文，很齐全-SUSAN algorithm and its paper-source information, including the source code and papers, it is complete