边缘分割程序

利用严格成像模型生成的虚拟格网数据解算卫星影像的RPC参数，用于卫星影像定位(Use strict generated virtual imaging model grid data calculating satellite images RPC parameters for satellite image positioning)

带运动估计的时域滤波，一种基于小波的运动估计方法，可以有效的去除视频流的帧间冗余。与传统的帧参考模式的运动估计相比，没有错误漂移现象。内含编码器和解码器。(Belt Movement estimated time domain filtering, a wavelet-based motion estimation methods, can effectively remove the inter-frame video stream redundancy. With the traditional frame of reference than the motion estimation, no errors drift phenomenon. Intron encoder and decoder.)

图像的复制剪切粘贴，Visual C++编程技巧精选，很好的参考资料。(Copy cut and paste image, Visual C++ programming skills selected, a good reference.)

通过小波阈值去噪，选取db5小波进行6层分解，对心音信号进行去噪(By wavelet thresholding, select db5 wavelet decomposition of six layers of the heart sound signal de-noising)

解决图像的DCT变换与逆变换，为JEPG压缩做铺垫(To solve the image DCT transform and inverse transform, in order to pave the way for JEPG compression)

如何获取屏幕上各颜色的红、绿、蓝值(how to access the colors on the screen in red, green and blue values)

说明：  该代码能实现图像缩放功能，简单，容易理解(The code to achieve the image zoom feature, simple, easy to understand)

该程序功能是实现对道路流动车辆统计。小模块功能有以下几个：1，对视频解帧并显示。2，对该视频训练背景图片。 3，利用背景图片用减背景法对测试视频进行前景提取，并进行阈值处理，图像分割，找出流动车的连通域。 4，对车辆进行统计。程序包内含有界面说明，以及程序使用的步骤和相关注意事项(The program function is to achieve movement of vehicles on the road statistics. A small module function has the following: 1 solution for video frames and displayed. 2, the video training background image. 3, using the background image used by the background method of testing the prospects for video extraction, and conduct threshold processing, image segmentation, to identify mobile car-connected domain. 4, vehicle statistics. Interface package contains instructions and procedures related to the use of the steps and considerations)

说明：  再来一个绘图程序，花了我一个上午时间才搞定。(then a drawing program, I spent a morning time to get.)

自己编写的C++小程序，十字算法，用到KD树，能够有效进行点云去噪，压缩数据(I have written a small program C++, cross algorithm used in KD tree, the point cloud can be effectively de-noising, compression of data)