三角网格的简化代码，速度很快

计算机图形学填充算法，包括FloodFill与BoundaryFi-Computer Graphics filling algorithms, including FloodFill and BoundaryFill

图形图像预览工具，基于C++上开发，应该还好吧-Graphic image preview tool, based on C++ to develop, it should be okay

用GDI函数抓屏 如果我们不太在意抓屏的效率，并且我们想要的只是一个屏幕快照的话，可以考虑使用GDI方式。这种抓屏机制是以“桌面也是一个窗口，桌面也有一个窗口句柄（HWND）”这个简单的常识为基础的，如果我们得到了桌面的设备上下文（DC），就可以利用blit（复制）它的内容到我们创建的DC中。我们可以用GetDeskWindow（）得到桌面的窗口句柄，从句柄得到DC也是很容易的 -GDI function with screenshots screenshots if we do not care about efficiency, and we want only a snapshot of the screen, you can consider using GDI mode. This mechanism is based on the screenshots Desktop is also a window, the desktop also has a window handle (HWND) This simple knowledge-based, if we get the desktop device context (DC), can be used on the blit (copy) its contents that we created in DC. We can use GetDeskWindow () get desktop window handle from the handle to get DC is also very easy

该程序用Delphi7.0实现，中文名称：血液红细胞识别与统计系统，可以识别一幅图片中的血红细胞并统计出个数，准确率达到90％以上，该程序包含了用Object Pascal语言处理图像的一些基本常用技巧，值得一看-Delphi7.0 realize with the program, Chinese name: blood red blood cell identification and statistical systems to identify a picture of the red blood cells and a number of statistical accuracy rate over 90, the program includes the use of Object Pascal language processing images some basic common skills, worth a visit

图形学原代码――――画虚的直线和曲线-graphics source-abstract paintings and the linear curve

实现图像亮度调节，VC6下运行正常，实时查看运行结果，直观。-Achieve the image brightness adjustment, VC6 to run properly, real-time view the results, and intuitive.

网站模板一个网站模板网站模板 一个网站模板-a website template website template a website template a website template a website template a website template

在图像处理中，主要用于求取图像的直方图像。-In image processing, mainly for striking images, like the histogram

一种新型的基于水平集的图像分割算法，附对应的文献还实用例子-A new level set based image segmentation algorithm, with a practical example of the corresponding literature also

需要一个int ipp6.0 MILTRACK README, Version 1.0 ------------------------------------------------------------------------------------------------------- This code includes an implementation of the MilTrack algorithm [1], as well as a re-implemenation of the Online AdaBoost tracker described in [2], though with some modifications.  This code requires both OpenCV 1.0 (http://sourceforge.net/projects/opencvlibrary/) and Intel IPP 6.0 (http://www.intel.com/cd/software/products/asmo-na/eng/302910.htm) to be installed on your machine.  It has only been tested on a machine running Windows XP, usiong Visual Studio 9.0.  In order for the code to run, make sure you have the OpenCV bin directory, and the Intel IPP bin directory in your system path.