testDBSCAM_matlab

说明：  VGA彩条信号显示器设计 设计并调试好一个VGA彩条信号发生器，并用EDA实验开发系统（拟采用的实验芯片的型号可选Altera CycloneII系列的 EP2C5T144C8 FPGA。(A VGA color bar signal generator is designed and debugged, and an EDA experimental development system is used (the model of the experimental chip to be used can be selected as EP2C5T144C8 FPGA of Altera Cyclone II series).)

说明：  首先对车牌识别系统的现状和已有的技术进行深入的研究，然后开发出一个基于 Python 的车牌识别系统，文中先对车辆图像进行高斯去噪、灰度化和边缘检测等预处理方法，然后用颜色特征和形态特征相结合的方法来确定车牌位置，用彩色分割法来完成车牌分割，最后，运用 SVM 分类训练器完成字符识别并使用Python 软件环境进行车牌识别的仿真实验。(License plate recognition based on SVM)

用重心法实现光斑中心定位，matlab程序(Facula Center Location by the Method of Center of Gravity)

说明：  基于内容的图像检索系统，用matlab编写的，用户可以方便地修改添加新特征，减少工作量。(Content-based image retrieval systems, written with matlab, the user can easily modify to add new features, reduce the workload.)

该程序功能是实现对道路流动车辆统计。小模块功能有以下几个：1，对视频解帧并显示。2，对该视频训练背景图片。 3，利用背景图片用减背景法对测试视频进行前景提取，并进行阈值处理，图像分割，找出流动车的连通域。 4，对车辆进行统计。程序包内含有界面说明，以及程序使用的步骤和相关注意事项(The program function is to achieve movement of vehicles on the road statistics. A small module function has the following: 1 solution for video frames and displayed. 2, the video training background image. 3, using the background image used by the background method of testing the prospects for video extraction, and conduct threshold processing, image segmentation, to identify mobile car-connected domain. 4, vehicle statistics. Interface package contains instructions and procedures related to the use of the steps and considerations)

说明：  利用PCA对人脸图像进行降维，然后训练神经网络分类器的Matlab程序(the Matlab in face recoginization using PCA algorithm)

Projection Metric Learning on Grassmann Manifold with Application to Video based Face Recognition

图像颜色聚类分割，实现了图形分割，基于RGB特征并显示出来。(Color image segmentation clustering, to achieve the graphics division, based on the characteristics of RGB and displayed.)

利用GPU加速的SIFT算法，实现影像匹配，并利用RANSAC进行粗差的剔除(GPU-accelerated use SIFT algorithm to achieve image matching, and use RANSAC removing coarse poor)

SSR,MSR等不同的图像增强，挺全面的挺好用的。(SSR, MSR and other different image enhancement, quite comprehensive and very good use.)