改变图形缩放的图片框

该程序能对图象进行高斯模糊处理，用VC写的，喜欢大家能喜欢-the procedures for Gaussian fuzzy image processing, with VC write, like everybody can like

这是用MFC编写的使用openGL的视口代码。 CChildView::CChildView() 构造函数 CChildView::~CChildView() 析构函数 BEGIN_MESSAGE_MAP(CChildView,CWnd ) 消息映射 BOOL CChildView::PreCreateWindow(CREATESTRUCT& cs)创建窗口重新设置窗口参数 BOOL CChildView::PreTranslateMessage( MSG* pMsg ) 翻译消息 int CChildView::OnCreate( LPCREATESTRUCT lpCreateStruct ) 窗口创建好后进入此函数 完成openGL的初始化 void CChildView::OnSize( UINT nType, int cx, int cy ) 当窗口大小发生改变时重新设置OPenGL的视口参数。 void CChildView::OnDestroy() 销毁窗口 -It is written in MFC to use openGL viewport code. CChildView:: CChildView () constructor CChildView:: ~ CChildView () destructor BEGIN_MESSAGE_MAP (CChildView, CWnd) message map BOOL CChildView:: PreCreateWindow (CREATESTRUCT & cs) to create a window to reset the window parameters BOOL CChildView:: PreTranslateMessage (MSG* pMsg ) translation of the message int CChildView:: OnCreate (LPCREATESTRUCT lpCreateStruct) window is created and entered this function to complete openGL initialization void CChildView:: OnSize (UINT nType, int

该软件最主要的功能就是要能识别出人脸，首先该系统需要对通过摄像头拍照而获取到的原始的人脸图片进行一系列处理才可进行下一步的工作，该处理过程也称图像预处理。预处理这个模块在整个人脸识别系统的开发过程中占有很重要的地位，只有预处理模块做的好，才可能很好的完成后面的人脸定位和特征提取这两大关键模块。-The main features of the software is to be able to identify the face, first of all, the system need to take pictures through the camera and access to the original face image can only be carried out a series dealing with the work of the next step, the process also known as image pretreatment. Pretreatment of the Face Recognition System module in the entire process of development plays an important role, and only do pre-processing module, and can be very good after the completion of the Human Face Localization and Feature Extraction of these two key modules.

delphi 的矩阵转换程序-matrix conversion

使用说明                                   代码注释的很详尽第一步：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情况下为90%。此外，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。具体步骤为：“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”。注意，待识别的图片要与win.dat和whi.dat位于同一目录，这两文件保存训练后网络的权值参数。

解压后的文件为基于MATLAB开发的很多绘图程序。-unpacked a document based on MATLAB development for the many drawing program.

convert bmp to rgb565-algorithm to handle all kinds of bmp to rgb565

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.)

JPEG image compression and decompression

很好的学习openCV的材料，源码，每个源码都没有错误，都能编译成功。并且可以用到其它的所有程序中。-the many codes can be used in many fields.you can use them and learning OPENCV through these codes.