The algorithm is based on “Segment

这是一个简单的卡尔曼滤波演示程序，希望对大家有所帮助。-This is a simple demonstration of the Kalman filtering process, and they hope to help everyone.

计算图像的均方差 绝对误差 以及自熵或自信息量的函数 -Calculating the image mean absolute error variance, as well as the amount of information from the entropy of a function or self

利用OpenCV 的人脸检测与定位,对于初学者学习OPENCV 和Visual c++d的使用将是相当有帮助的-OPENCV AND Visual c++ 6.0开发的计算机视觉

4：2：0yuv播放，采用directdraw播放-4:2:0 yuv playback, using DirectDraw player

视频运动检测的例子和源代码，可以在图像处理和运动目标检测中应用-Video Motion Detection examples and source code, the image processing and moving target detection application

基于Opencv的图像帧抓取程序，可以从摄像头的连续抓取图像，并动态保存在设定的相应路径下的文件夹中。-Based on the image frame Opencv crawl process can be continuous crawl camera images, and dynamic settings stored in the corresponding path under the folder.

Fuzy K Means 快速图象分割Fuzy K Means Fuzy K Means-Fuzy K Means Fuzy K MeansFuzy K MeansFuzy K MeansFuzy K MeansFuzy K Means

基于Harry函数的人脸识别源程序――Facedetection-Harry function based on face recognition source code- Facedetection

本文提出了一种新的跨国家的障碍 检测技术为基础的立体视觉系统。 原始图像的预处理的高斯 过滤器和对比度限制的自适应直方图 均衡（ CLAHE ）方法来削弱作用 噪音，光线和对比度。哈里斯的角落位于与子像素精确。 -Cross-country intelligent vehicles always work in complicated environments with varying illuminations. The paper presents a new cross-country obstacle detection technology based on stereo vision system. The original images are preprocessed by Gaussian filter and contrast-limited adaptive histogram equalization (CLAHE) method to weaken the effect of noise, light and contrast. Harris corners are located with sub-pixel accurate. To guarantee the overall system real-time performance, feature-based matching techniques are studied and fundamental matrix is calculated based on random sample consensus (RANSAC). Also restrains are studied to eliminate pseudo matching pairs. Then data interpolation is introduced to build elevation maps. Edge extraction and morphological processing are concerned to accomplish obstacle detection. Experiment result

新编的角点检测程序，增加了健壮性！适合多用途的角点检测应用！-Reflected in the new corner detection process, an increase of robustness! Corner detection for multi-purpose applications!