差值扩展-数字可逆水印的实现

对交通标志进行检测和识别（本文件仅针对红色交通标志进行识别）(Identification and identification of traffic signs (this document is only for identification of red traffic signs).)

适用于小车跟踪和相应的轨迹滤波处理，代码是直接可以调通的(t is suitable for car tracking and corresponding trajectory filtering. The code can be adjusted directly.)

本程序是一幅512*512的lena.raw图像进行快速DCT和其逆变换，整个程序均调试通过，是在C语言环境下编写的，在整个关于快速DCT的源码中，本代码可以说是集大成者，很值得一看。(This procedure is mainly of a float or double type of data, rounding, the float data can be positive or negative, can be, take the whole principle of rounding.)

dct和混沌相结合的图像加密，速度较慢但可以用来学习(DCT and chaotic combination of image encryption, slower but can be used to study)

利用DNA加密，将图像加密，啊啊啊啊啊啊啊啊啊啊(Encrypting the image by DNA and encrypting the image)

采用matlab代码进行超像素分割，可以很好使用，效果好(Super-pixel segmentation using matlab code can be used well and the effect is good.)

说明：  红外摄像头USB信号读取识别，回传识别特征(USB signal reading identification of infrared camera)

程序实现图像分块，凸包，分割等功能，学图像处理的朋友建议下载。(Image sub-block implementation procedures, convex hull, partition and other functions, the study image processing Friend recommended download.)

电压跌落是最严重的动态电能质量问题之一， 精确定位电压跌落起止时间是应对电压跌落问题的 重要前提和基础。由于电压采样信号往往有噪声分 量，现有的方法在定位电压跌落的起止时间时存在 局限性。本文提出利用多小波变换及相邻系数去噪 的电压跌落定位方法。多小波兼有对称性、正交性、 有限支撑性和二阶消失矩等优异的信号处理性能， 利用GHM多小波可以准确定位电压跌落起止时间。 多小波变换系数在每层之间具有对应关系，多小波 相邻系数将紧相邻的若干个系数作为一个整体来确 定阈值，考虑了系数之间的相关性，能获得更好的 去噪效果。通过 Matlab 进行仿真验证，仿真结果表 明，所提出的方法的正确性。 (Voltage sag is one of the most serious dynamic power quality problems. Critical start-time and end-time are important indices for voltage sags. But the sampling signals often have noisy component, the locations of start-time and end-time are hard to get. Wavelet is an effective tool for those non-stationary signal processing and has been used in this field. Local feature in the signal can be enlarged after the transformation using the scalar wavelet. But scalar wavelets cannot contain orthogonality, symmetry, compact support and higher order of vanishing moments simultaneously. In this thesis, multi-wavelets GHM is used to detect and locate power quality disturbances. Multi-wavelets offer many excellent properties such as the same approximation order but more compact support. The dependence of the multi-wavelets coefficients varies with the level, so neighboring coefficien)

模糊核聚类及几篇文章，用于数据和图像的模糊聚类分割，效果还行(nuclear fuzzy clustering and articles for data and image segmentation fuzzy clustering, the results were OK)