使用分裂Bregman算法做图像去噪，收敛速度很快，保持缘特征

MFC绘图示例,用于演示MFC下如何进行直线等的实现。-MFC Mapping example, the MFC for demonstrating how to achieve the straight.

各种特色按钮图标-feature button icons

CEDIT类的使用,为大家熟悉CEDIT创造条件-CEDIT like to use familiar with CEDIT create conditions

基于图像处理的计算机集成数控技术商业源码。解压密码：sym-based on image processing computer integrated CNC commercial source. Extracting Password : sym

c语言写的三D效果，很漂亮-wrote three D effects, and very pretty

用Bresenham算法画圆，使用打点函数实现上述功能-with Bresenham algorithm Circle, which was used to achieve the above function function

Particle System API 2.0, 一个开源的粒子系统演示, 支持CPU模拟状态相关和状态无关的粒子系统,06年最新的版本2.0加入了GPU优化.-Particle System API 2.0, a particle system revenue demonstration CPU simulation support state and state-related unrelated to the particle system, 06 The latest version 2.0 joined the GPU optimization.

一个可以直接使用的压缩类，测试过-one can directly use the compression type, tested

本代码实现的是windows的矢量字库的读写,生成8*8字模-the source implementation of the windows vector font reader, generate 8* 8 Fonts

Introduction Icasso is based on running FastICA several times (resampling). Icasso pools all the estimates together and forms clusters bottom-up among them. The basic idea is that a tight cluster of estimates is considered to be a candidate for including a "good" estimate. A centroid of such cluster is considered a more reliable estimates than any estimate from an arbitrary run. (Instead of an average as a centroid, Icasso visualizes and returns a centrotype from each cluster. This is the one of the original estimates that is most similar to other estimates in the same cluster. You can compute the average by using Icasso functions.)