GDI是位于应用程序与不同硬件之间的中间层，这种结构让程序员从直接处理不同硬件的工作中解放出来，把硬件间的差异交给了GDI处理。 GDI+是GDI的下一个版本，...

通过派生的概念来组织和管理不同对象，这里我们可以绘制椭圆，矩形，圆，字体等，可以对不同对象进行控制-Through the concept of derivative to the organization and management of different objects, here we can draw an oval, rectangular, round, font, and can thus control different target groups

mfc7.01源代码组织工程。通过此工程可以方便的阅读mfc源代码。是学习使用mfc的最佳最好方法。-source code mfc7.01 tissue engineering. Through this project can be easily read mfc source code. Is learning to use the best the best way to mfc.

画贝赛尔曲线的源码-a source code of drawing bezier curve

色彩空间传输的源码，实现色彩空间的传输和变换-color space transmission source code, the color space to achieve the transmission and transformation

众所周知，Windows Mobile从5.0开始就支持GDI+了，但是却只能使用C#进行代码托管来使用GDI+中的丰富功能。现在有了这个库，让C++也可以使用GDI+了。附件中是手机开发GDI+程序时使用的头和库。支持WinCE5.0, WinCE6.0， VC++代码，非C#封装。附有源码。-As we all know, Windows Mobile from 5.0 beginning supported GDI+, but they can only use C# for managed code to use GDI+ in the feature-rich. Now, with this library, so that C++ can also use GDI+ in. Annex to the development of cell phone use GDI+ program header and libraries. Support WinCE5.0, WinCE6.0, VC++ code, non-C# package. With source code.

MiniGUI 的最新发布版本是 0.9.96。我们将 0.9.xx 系列版本定位为 MiniGUI 1.0 版本的预览版。在 0.9.xx 版本足够稳定时，我们将发布 MiniGUI 1.0 版本，同时，目前的代码不会再进行重大调整。在 MiniGUI 1.0 版本发布之后，我们将立即着手开发 MiniGUI 2.0 版本。该版本预期将在体系结构上进行重大调整-MiniGUI release of the latest version 0.9.96. We will be positioning version 0.9.xx series of MiniGUI 1.0 version of the preview version. The 0.9.xx version stable enough, we will release version 1.0 MiniGUI, and the current code will not be further significant adjustments. MiniGUI in version 1.0 was released, we will immediately proceed with the development of version 2.0 of MiniGUI. This version of the system is expected to undergo major structural adjustment

Convert a Windows Metafile (WMF) to newer Enhanced Metafile (EMF).

用差影法检测图像，VC++实现，具有较高的参考价值-with poor video image detection, VC, with high reference value

visual c++ GDI位图示例程序-visual c++ GDI bitmap sample procedures

针对航空照片中自动目标识别的复杂性．该文提出了一种基于神经网络的自动目标识别算法， 算法包括检测和虚警排除两个阶段．检1删阶段是在整幅区域中i挂行快速搜寻．找出所有可能的目标 虚 警排障阶段是对检测阶段得到的结果进行进一步的验证， 在尽可能保留全部真目标的前提下，将伪目标 排除．实验结果证明了算法的可行性． 关键词 神经网络，航空照片， 自动目标识别-against aerial photographs Automatic Target Recognition of complexity. This paper presents a neural network-based automatic target recognition algorithm, the algorithm including the detection and false alarm ruled out in two stages. Frederick stage is a cut in the whole region i linked to fast-track the search. To identify all possible targets false alarm remove obstacles stage of the testing phase results further verification, reservations at all possible real targets on the premise that goal will be to exclude false. Experimental results demonstrate the feasibility of the algorithm. Keywords neural network, aerial photographs, automatic target recognition