自己编的vb编程，这是树形源代码！请多多指教！

VC++数字图像处理（第二版）人民优点出版社，全书源代码，包含测试图片-Image Procedures Codes By VC++

VisualC++实现的BP神经网络类-VC achieve BP neural network category

This file contains a summary of what you will find in each of the files that make up your Tracker application.-This file contains a summary of what you wil l find in each of the files that make up your Track er application.

用C++写的图像钟表-C write images watches

A beginning DirectX application using MFC 初学DirectX 指南-A beginning DirectX application using MFC beginner DirectX Guide

创建win application应用程序，并实现在其中使用MFC的类向导功能，结微软的图像类GDI实现通过鼠标控制人物的上下移动操作，适合初学者学习使用

图象处理集合（对位图的处理）包括如下： 1.图象分析：图象分割和边缘检测 2.图象编、解码：huff，PCX,GIF,JPG等； 3.滤波处理：包含多种滤波器（高，低通，交互式带阻）； 4.数学形态学：图象的腐蚀和膨胀，开、闭运算，图象的粗、细化等； 此外还有视图的编辑、灰度处理、图象恢复、小波分解和重构等等。-image processing pool (right bitmap processing) include the following : 1. Image analysis : Segmentation and Edge Detection 2. Image encoder and decoder : Huff, PCX, GIF, JPG, etc.; 3. Filter : with a variety of filters (high and low pass offered inter-band stop); 4. Morphology : Image of corrosion and expansive, open and close operations, the image of rough and refined; in addition to the View editor, Gray processing, image restoration, wavelet decomposition and reconstruction and so on.

生长法构造Delauney三角网的程序，对做地形有一定作用-Growth Act tectonic Delauney triangulation procedures, do have a certain effect on the terrain

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

基于别人框架实现直方图的交集图像检索 本人感觉要比其颜色矩和分块直方图的要更优一些，在此对其框架表示感谢-others based framework to achieve the intersection histogram image retrieval, I feel than its color moments and the block to the histogram better, in which framework expressed their gratitude