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...

小波变换抑制离散数字信号中的白噪声（采用阈值法）-wavelet transform for ellimination of the white noise in signal（adopting the threshold method）

效果不错的直方图均衡-good results histogram equalization

这个一个opencv代码。通过对库函数调用，实现图片的边缘检测以及轮廓识别。对于入门opencv很有参考价值。-this one OpenCV code. Through library function call, on the brink of achieving Photo contour detection and identification. For entry OpenCV of great reference value.

使用vc开发的小的画图程序，使用文档/视图模式开发。对于文档处理具有保存和打开功能，能处理三种图形的加载和保存工作，这三种图形分别为线、矩形和椭圆，并且能在视图中正确的显示出这些图形。-Vc developed the use of a small drawing program, use the Document/View model of development. The documents deal with the save and open features, can handle three types of graphics to load and preservation work, the three graphics are lines, rectangular and oval, and can view the correct display of these graphics.

计算机图形学大作业-computer graphics major operation

PointLight_Shader OpenGL 模拟飞机，VC环境，使用了glut,可以作为学习OpengGL的例子。-PointLight_Shader OpenGL simulation of the aircraft, VC environment, the use of a glut, can serve as a learning OpengGL example.

我们要创建我们的第一个3D对象：立方体。为了要显示它是真正的3D对象，呵呵，我们要旋转它，这样，你将会看到它的各个面。记住：所有的3D对象都是由三角形构成的（译者：神奇的三角形啊…读者：又来了），所以，我们的立方体是由12个三角形构成的（6个面，每个面需要2个三角形，二六一十二，乘法口诀，会不？）。-we must establish our first 3D objects : cube. To show that i s true 3D objects, huh, we should rotating it, then you will see all its surface. Remember : All 3D objects are constituted by the triangle (Translator : magic triangle ah ... Readers : Here we go again), so we are the cube 12 by the triangular composition (six surface, each side needs two triangles, Erliuyishier, multiplication traditional formulas, will not?) .

为2007年亚太大学生机器人大赛国内选拔赛作的一个策略辅助程序。 VS2005 环境下可以编写。-2007 university students for the Asia-Pacific Robot Contest for domestic trials of a strategy-assisted procedures. VS2005 environment can be prepared.

winTC,一个不错的开发软件-winTC, a good software development

视频处理中最重要的指标：PSNR(峰值信噪比)。本人写的一个小程序，用于测试图象中的Y、U、V分量的PSNR值。-PSNR is a very important index in video disposal. there are a little program . It tests the PSNR of the YUV in the image.