3图像拼接，用opencv实现

非常好用的OPENCV程序包。内涵多种功能如面部识别，流光检测算法(Very easy to use the OpenCV package. Connotation of a variety of functions such as facial recognition, streamer detection algorithm)

说明：  OpenCV官方教程中文版（For Python）(OpenCV official tutorial Chinese version (For Python))

VS2010+Opencv3.4.5开发环境搭建，以及缺失的四个dll，从www.dll-files.com 下载缺失四个64位的dll，注意要64位的。Opencv3.4.5只有64位的，电脑需要64位系统，VS也需要64位的环境。该实例包含了图像腐蚀、图像膨胀、边缘图像等图像处理。

算法思想来自于网上资源，先使用图像边缘和车牌颜色定位车牌，再识别字符。车牌定位在predict方法中，为说明清楚，完成代码和测试后，加了很多注释，请参看源码。车牌字符识别也在predict方法中，请参看源码中的注释，需要说明的是，车牌字符识别使用的算法是opencv的SVM， opencv的SVM使用代码来自于opencv附带的sample，StatModel类和SVM类都是sample中的代码。SVM训练使用的训练样本来自于github上的EasyPR的c++版本。由于训练样本有限，你测试时会发现，车牌字符识别，可能存在误差，尤其是第一个中文字符出现的误差概率较大。(Bits in the predict method, for clarity, add a lot of comments after completing the code and testing, see the source code. License plate character recognition is also included in the predict method. Please refer to the comments in the source code. It needs to be noted that the algorithm used for license plate character recognition is SVM of opencv. The training sample used for SVM training comes from the c++ version of EasyPR on github. Due to limited training samples, you may find errors in license plate character recognition when testing, especially the error probability of the first Chinese character is large.)

opencv 3.1.0 中的sample 源代码， facetection。 可以用于人脸识别作参考。

利用opencv编写的随机hough圆检测算法，程序可以运行

block matching algorithm

基于SVM与BoW的图片分类的OpenCV实现，从外国网站下载的(SVM-based image classification with BoW OpenCV implementation from foreign website)

说明：  采用张正仪标定法，是单目标定。VS+opencv.(The monocular camera calibration, using the zhangzhengyou calibration method, reliable use)

说明：  使用opencv中霍夫线变换检测直线，阈值可调(Line detection by Hough line transformation with adjustable threshold)