digital image histogram equalization, yes. Txt file, run under Matlab

这是关于数字图象处理方面比较全的一个例子，大家有需要的可以直接copy其中的代码-This is on the digital image processing of a whole compared example, We need to be direct copy of the code

kalman滤波的程序，使用OpenCV进行开发，简单实用，效果很好-Kalman filtering, the use of OpenCV developed a simple, practical, and the results very good

利用聚类算法分割图像，将维对分法只可将图像分为2部分，可以作为二值化的代码,K-均值法可将图像分为任意多部分。程序直接采用R、G、B三色作为特征参数，聚类中心为随机值，当然也可以采用其他参数，程序编译为EXE文件后速度还可以接受，但尚有改进的余地，那位高手有空修改的话，请给我也发份代码。-clustering algorithm using image segmentation, Victoria right method can only image is divided into two parts, the two values can be used as the source, K-means algorithm can be divided into images of arbitrary multi-part. Procedures used directly in R, G, B color as the characteristic parameters for the cluster center random value, of course, can also be used for other parameters, procedures EXE compiler to speed document acceptable, but there is still room for improvement, but the master of the time change, then please give me also made in the code.

mpeg4解码程序,内含LIB库及其源码,支持Overlay,RGB模式,支持动态接收视频流和指定文件输入.-mpeg4 decoding procedures, and the intron LIB source code, support Overlay, RGB mode, supports dynamic video stream and receive specified file input.

该函数实现的是a locally adaptive zooming algorithm fir digital images --2002 image vision computing中的算法-The function implementates the method in a locally adaptive zooming algorithm fir digital images

标准C++写的BMP图像显示存储的CLASS，可以直接使用-Standard C++ written in BMP image display storage CLASS, can be used directly

Goodfectertotreck的实现-Goodfectertotreck opencv

在VC++下基于MRF来进行的图像分割源代码-In VC++ For MRF-based image segmentation source code

用vc6.0和opencv写的一个图像显示，处理，写字，绘图的实用小程序-Opencv with vc6.0 and write an image display, processing, writing, drawing practical applets

基于kalman滤波和人脸形态约束的人脸跟踪算法实现，可在快速人脸跟踪的同时很好的去除类肤色的干扰，注意是基于OpenCV函数库的程序。-Based on kalman filtering and face shape Face Tracking bound algorithm may face in the fast track at the same time remove the category of very good color interference, the attention is based on the OpenCV library procedures.