图像得简单编辑，有兴趣得可以

canny的实现源码。单一程序方便学习。源码有注释方便解读-canny realization source. Single process to facilitate learning. Notes have source code to facilitate reading

类似游戏装备类源码,请举一反三!类似游戏装备类源码,请举一反三!-Similar type of game equipment source, please judge the whole! Similar type of game equipment source, please judge the whole!

用matlab 实现的 噪声添加函数代码。-Matlab implementation of the noise used to add function code.

用Java实现的图像教学程序，涵盖大部分基本图像处理技术：（1）图像几何变换（图像翻转、旋转、缩放）；（2）色彩变换（灰度直方图，RGB->YSH变换，对比度调整，色彩增强，灰度均衡）；（3）卷积（锐化、柔化、边缘提取、中值滤波）；（4）频率变换（快速傅立叶fft，小波分解重构）-A teaching program which implements in Java. It includes most essential image processing technology. 1. Geometry Transform(Flip, Rotate, Scale) 2. Color Transform(Histogram, RGB-YSH Translate, Contrast, Level, Equalize in gray) 3. Convolve (Sharpness, Smooth , Edge enhancement, Mean) 4.Frequence Transform (FFT, wavelet reconstruct)

基于颜色对的方法的程序实现 　　具体程序实现如下：-Color-based approach to implementation of specific procedures for implementation procedures are as follows:

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

这是我珍藏的一个屏幕录像工具。希望大家会喜欢。-This is my collection of one-screen video tool. Hope you will like it.

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

运用Visual.Basic编写的《图标制作软件》及愿代码-Visual.Basic prepared by the use of "icon software," and is willing to code

face & serial & tracking