Radar-sensor-switch

说明：  对文字识别并计算7个不变矩的matlab源程序(right words to identify and calculate seven unchanged Moments Matlab source)

该程序是我多年的经验总结以及代码，实现了全景目标跟踪、火焰识别、烟雾识别、起立坐下行为判断、越界闯入、徘徊、违规停车等多种智能功能一体化，粒子滤波、贝叶斯分类器、随机森林等多种在线学习机制，还有传统的camshift、meanshift、光流法、卡尔曼滤波、struck、KCF、TLD、CT、区域匹配，相位相关、轮廓跟踪等多种算法(The program is my many years of experience and code, the realization of the panorama target tracking, flame detection, smoke detection, standing up sitting judge, cross-border intrusion, wandering, illegal parking and other various intelligent functions integration, particle filter, Bayesian classifier, random forest variety of online learning mechanism, and the traditional CAMSHIFT, meanshift, optical flow method, Kalman filter, the, KCF, regional matching, phase correlation, contour tracking and other several algorithms)

边缘检测的绝好套餐，可以拿来做博士 论文了(Edge Detection of excellent packages, can be used to do a doctoral dissertation)

一个非常好的粗糙集的代码-希望对大家学习提供参考(Rough set a very good code- I hope to provide reference for all of us to learn)

使用中值，均值，小波，DCT，PCA五种方法实现对图像的去噪处理。(Five methods, median, mean, wavelet, DCT and PCA, are used to denoise the image.)

散乱密集点的曲面拟合，在国外matlab论坛上下载的，看了一下，写的有点繁琐，还是比较不错的(Scattered dense surface point Fitting in foreign matlab forum, download, read about, write a bit cumbersome, it is quite good)

用VB写的画出波纹的程序(Written by VB painted corrugated procedures)

数字图像处理中的可逆水印算法，基于差值扩展而得，其容量与其图像像素有关。(The reversible watermarking algorithm in digital image processing is based on the spread of the difference, and its capacity is related to the pixel of the image.)

说明：  提取视频中的图片，每一帧的信息，把视频分为图片信息(get picture of video)

图像处理中C#畸变校正程序，针对鱼眼图像的径向畸变校正，利用空间直线在校正图像中仍然为直线的基本原理，且直线在除法模型下为圆弧，从而可以通过检测圆弧对鱼眼图像进行畸变校正。(Image processing program C# distortion correction for radial fisheye image distortion correction, the use of space in a straight line in the corrected image as the basic principle is still straight, and a straight line at the division model is a circular arc, so that the arc can be detected by fish eye image distortion correction.)