自由衍射

逆透视变换的数学原理，在文档中有详细的逆透视变换的矩阵推导过程，但是没有代码，opencv逆透视变换代码可以看我发的另一篇资源。。。。。。。。。。。。。。。。。。(The mathematical principle of reverse perspective transformation, in the document there is a detailed matrix rendering process of the inverse perspective transformation, but there is no code, opencv reverse perspective transformation code can see another resource I sent)

通过MATLAB平台使用surf算法实现图像拼接(Through the MATLAB platform using surf algorithm to achieve image stitching)

KPCA是一种PCA的改进方法,很值得一看,很实用!(KPCA is an improved method of PCA, it is worth a visit, it is useful!)

实现图像精确分割，基于ALpha Matting 的基础上的Sharedmatting图像分割算法(Accurate image segmentation,Sharedmatting image segmentation algorithm based on ALpha Matting)

Image Processing and Moments...

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)

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)

均值方差与协方差 协方差矩阵、特征值与特征向量的提取、PCA原理 人脸识别算法之EigenFace、LBPH 人脸识别应用开发案例(Mean Variance and Covariance Covariance Matrix, Extraction of Eigenvalues and Eigenvectors, PCA Principle EigenFace and LBPH of Face Recognition Algorithms Case Study of Face Recognition Application Development)

说明：  稀疏表示常用matlab代码，可以直接跑(Sparse representation commonly used matlab code, can run directly)

非下采样contourlet变换用于图像降噪，多尺度几何分析的应用。 (Contourlet transform non-down-sampling for image noise reduction, multi-scale analysis of the application of geometry.)