for mapping, mapping shows the basic elements and the form and method

这是一个灰度均衡的程序-This a gray balanced procedures

硬件加速的绘制排序算法HAVS。可用在大规模数据的可视化中。-Hardware-accelerated rendering sorting algorithm HAVS. Can be used in large-scale data visualization.

图片随机抽取代码 随机显示指定图片.每次刷新均不一样-Random Photo random sample code that displays the specified image. Not the same as each refresh

实现一个opengl程序，要求画一个茶壶，放置在位置（100，50，200）处，对其设置一个合适的透视三维观察空间，并设置一个裁减面裁去其一部分。 -To achieve a opengl procedure that requires painting a teapot, placed in the position (100,50,200), Office set up a proper perspective of its three-dimensional observation space, and set a cut to his face as part of the Conference.

NVIDIA Direct3D透明反锯齿演示C++源代码，需要Geforce7系列以上显卡。-NVIDIA Direct3D transparent antialiasing demo C source code, Geforce7 series needs more graphics.

一个于学VC的人有帮助的源代码-a school in the VC help people source code

本程序是在VC++环境下编写的二次样条曲线程序源代码，可直接运行程序，是学习图形学的好帮手。-This procedure is VC++ Environment prepared quadratic spline curve of source code, can be directly run the program, is a good helper to learn graphics.

不错的矢量图开发，用VC开发。适合刚接触mfc编程的小孩，真的很有借鉴意义，不妨一试，千万别错过-Good vector development, with VC development. Mfc programming刚接触suitable for children, really referential significance, one may wish to test, should not miss

数字识别代码 第一步：训练网络。使用训练样本进行训练。（此程序中也可以不训练，因为笔者已经将训练好的网络参数保存起来了，读者使用时可以直接识别）第二步：识别。 首先，打开图像（256色） 再次，进行归一化处理。点击“一次性处理” 最后，点击“R”或者使用菜单找到相应项来进行识别识别的结果显示在屏幕上，同时也输出到文件result.txt中 该系统的识别率一般为90％ 另外，也可以单独对打开的图片一步一步进行图像预处理工作。但要注意，每一步工作只能执行一遍，而且要按顺序执行。步骤为：“256色位图转为灰度图”“灰度图二值化”“去噪”“倾斜校正”“分割”“标准化尺寸”“紧缩重排” 另外注意，要识别的图片，要与win.dat、whi.dat位于同一目录。此两文件保存训练后网络的权值参数 -digital identification code first step : training network. Use of training samples for training. (These procedures also can not training because I have trained network parameters saved, Readers can direct identification) second step : identification. First, open the Image (256 colors) again, to a treatment. Click on the "one-stop" Finally, Click on the "R" or use the menu item corresponding to find the identification of the identification results on the screen, also result.txt output to a file which the system"s recognition rate of 90% for the other, can be individually opened to the step-by-step pictures for image prep

对于一些图像来说，常用的边缘检测算法有时候无法设立合适的阈值将它们的梯度较小的模糊边缘检测出来。为了解决这个问题，有两种解决方法：将图像方差标准化，拉大模糊边缘的梯度值，或通过设置sigmoid函数，将像素所在区域的信息传递到梯度值中去，对其进行调整，就能找到合适阈值，有效地将模糊边缘提取出来。本程序把这两种算法实现并与与传统算法进行了比较。-For some images, the commonly used edge detection algorithm sometimes can not be an appropriate threshold for the gradient of their smaller fuzzy edge detected. To solve this problem, there are two solutions: the image variance standardization, widening the fuzzy edge of the gradient value, or by setting the sigmoid function pixel region to disseminate the message to the gradient values to adjust, on the can find a suitable threshold, effectively extracted fuzzy edge. This procedure of these two algorithms with the traditional algorithm.