一个基于c++的区域生长算法程序，从种子点选取到生长规则的确定，很详细。...

用C++写的图像钟表-C write images watches

求解任意两个多边形的并集，交集，差集，要求是简单多边形，可以是凸多边形和凹多边形-solving arbitrary polygon and two sets, intersection, difference, the request is a simple polygon, it is concave and convex polygon Polygon

需要一个int ipp6.0 MILTRACK README, Version 1.0 ------------------------------------------------------------------------------------------------------- This code includes an implementation of the MilTrack algorithm [1], as well as a re-implemenation of the Online AdaBoost tracker described in [2], though with some modifications.  This code requires both OpenCV 1.0 (http://sourceforge.net/projects/opencvlibrary/) and Intel IPP 6.0 (http://www.intel.com/cd/software/products/asmo-na/eng/302910.htm) to be installed on your machine.  It has only been tested on a machine running Windows XP, usiong Visual Studio 9.0.  In order for the code to run, make sure you have the OpenCV bin directory, and the Intel IPP bin directory in your system path.

图像的正交变换，傅立叶变换，离散余弦变换，沃尔什变换，哈达玛变换-Images of the orthogonal transformation, Fourier transform, discrete cosine transform, Walsh transform, Hadamard transform

这是一个在VC2003下使用MFC 调用Vega Prime 的经典例子，内含多种技巧。-In VC2003 this is a call to use MFC classic example of Vega Prime includes a variety of skills.

为编程初学者设计的一个小型图像处理软件-beginners to programming designed a small image processing software

人脸识别源程序：对人脸的眼睛部位进行分割，应用此程序有很好效果。 -source : Face part of the eye that split application of this procedure are very good results.

这是一个用C语言编写的C小型程序，请在Torbo C 的环境下运行，便可以看到动态的效果-This is a C language C minor procedures, please Torbo C operating environment, we can see the dynamic effects

CxImage测试程序，教你怎样使用CxImage-CxImage testing procedures teach you how to use CxImage

对图像进行逐点计算，并且取最大值和最小值的差值作为该点新的灰度值。 在区别边缘点和非边缘点时，首先确定一个阈值T，若图像中像素点的新 值大于该门限值，则可以初步确定为边缘点，小于T的新值被判断为非边缘点.-Image point by point basis, and taking the maximum and minimum points of difference as the new gray value. Edge in the difference between point and non-edge point, first determine a threshold T, if the image of the new pixel value is greater than the threshold, you can initially identified as the edge point, the new value is less than T have been judged as non-edge point.