svm

说明：  60轨CAD断面图，严格按照国家标准作图，60轨CAD断面图(Cross-sectional drawing of 60-rail CAD)

说明：  基于labview的远程数据传输 tcp协议(Remote data transmission based on LabVIEW)

计算机图形学，扫描线种子填充算法,填充算法，填充算法(dd )

delphi开发的显示字体平滑程序(display font smoothing procedures)

JPEG2000matlab实现 最新的图像压缩标准(JPEG2000matlab achieve the latest image compression standard)

运用本征模式匹配理论研究了声子晶体实际的声学速度沿两个高度对称的方向上的第一布里渊区里的特性。(The effective acoustic velocity along two highly symmetric directions of the first Brillouin zone is studied in a two-dimensional squarely arranged solid-solid phononic crystal.)

使用bp（反向传播算法）实现分类问题，并观察分类过程中误差的变化。(Use bp (back-propagation algorithm) to achieve the classification and observe the changes in classification process in the error.)

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.)

说明：  计算色差（专门讨论了色相角差以及平均色相角的处理，并给出了matlab程序）(Calculated chromatic aberration)

说明：  python语言，三种阈值分割方式，简单阈值分割，自适应阈值分割，OTsu分割方式(Python language, three methods of image segmentation , simple threshold segmentation, adaptive threshold segmentation, OTsu segmentation)