HumanMotionDetection

说明：  图像处理中，一种新的边缘检测，特征点提取方法，算法经过测试，可以运行，对医学图像处理的人有帮助(Image processing, a new edge detection, feature point extraction method, the algorithm has been tested, you can run on the medical image processing to help the people)

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).)

说明：  facet边缘检测的matlab源代码,是基于二阶模型，只要运行最后一个hhh.m就可以了(facet Edge Detection Matlab source code is based on second-order model, as long as the last one run on the hhh.m)

说明：  能够实现对一幅图像的最近邻、双线性、双三次三种插值(Can realize the nearest neighbor, bilinear and bicubic interpolation of an image)

全网唯一的一款能够快速完全浏览+整理微信图片视 联合开发网 - pudn.com

简单明了地计算两幅图片的相关性，绝对好用，亲身示范(Correlation coffiention)

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)

说明：  三次样条插值函数，分别是基于二阶导数的和一阶导数实现的(Cubic spline interpolation function)

Laws纹理策度是用来进行纹理分割的程序,这种方法很有用.(Laws degree texture strategy are used for texture segmentation procedure, this method useful.)

高光谱数据进行KNN分类，可以从原始数据如（indianpine）中选取部分样本(Hyperspectral data can be classified by KNN, and some samples can be selected from raw data such as (indianpine).)