SUSAN corner detection is very useful, there is also a detailed description, and...

利用背景建模检测运动物体（openCV)-Detection using background modeling moving objects (openCV)

在内存中位图的对称位图(镜像)(8KB)。此程序是老外写的经典程序，可以拜读一下。-in memory bitmap symmetric Bitmap (mirrored) (8KB). This procedure is a foreigner to write the classic procedure could read about.

数字图像处理的基本程序 vc++编写 取对数 有实例图片-Digital image processing of the basic procedures from vc++ to prepare a few examples of the picture

一本MATLAB书籍的代码，主要可以帮助刚学习图像处理的同志做参考用。-A MATLAB code books, mainly to help the comrades just to learn to do image processing reference.

处理DIB位图的完整框架，建立了CDibImage类，可以自己扩充，是不可多得图像处理的程序。-DIB bitmap handle the integrity of the framework established CDibImage category, their expansion, is a rare image processing procedures.

LK稀疏光流Demo 可以在场景中自动找出关键点并自动跟踪，也可以使用鼠标在指定位置添加关键点，此程序是很好的学习光流的示例。本程序基于OpenCV。-LK Sparse Optical Flow Demo automatically in the scene to identify the key points and automatic tracking, you can also use the mouse to add the key points in the specified location, this program is a good example of the optical flow of learning. The program is based on OpenCV.

this function is getting the background by mean function for rael time . the function calc the mean of every pixel .

一个人脸检测程序，比较好用。用Visual C++实现。-A face detection procedure, comparative ease of use. Using Visual C++ Realize.

模式识别中几个聚类算法，也包括神经网络和遗传算法在图像识别中的应用-Pattern recognition of several clustering algorithms, including Neural Networks and Genetic Algorithm in Image Recognition

30个图像处理的VC++ 源代码，包括256色转灰度图,Hough变换,image_j1,PCA,Walsh变换,对比度拉伸,二值化变换,反色, 方块编码,傅立叶变换,高斯平滑,灰度均衡,均值滤波,拉普拉斯锐化（边缘检测）, 离散余弦变换,亮度增减,逆滤波处理,取对数,取指数,梯度锐化,图象处理,图像镜像, 图像平移,图像缩放,图像细化,图像旋转,维纳滤波处理,用Canny算子提取边缘,阈值变换,直方图均衡.-30 image processing VC++ Source code, including 256 colors to grayscale, Hough transform, image_j1, PCA, Walsh transform, contrast stretching, binarization transformation, anti-color, box encoding, Fourier Transform , Gaussian smoothing, gray balance, mean filter, Laplacian sharpening (edge detection), discrete cosine transform, the brightness increases and decreases in inverse filtering deal, check on the number of check index, the gradient sharpening, image processing, mirror image, image translation, image scaling, image thinning, image rotation, Wiener filtering treatment using Canny edge extraction operator, threshold transform, histogram equalization.