zigzag

本程序为matlab写的morphing. 将不同角度拍摄之影像做morphing, 成为一摄影机连续移动拍摄同一物品的影带，可作为VR之用. (the procedures written in Matlab for morphing. Different angle Imaging filming done morp hing, as a continuous mobile cameras filming the same article video tapes can be used as a VR.)

基于小波特征提取的图像匹配matlab程序，将图像进行二维小波变换，提取概貌系数，并去掉对特征影响不大的系数(Wavelet feature extracting based image matching)

读取raw图，并转换为rgb图，显示转换后的rgb图(Figure raw read and convert rgb showing the converted diagram rgb)

文档介绍了大量离散实验数据的平滑滤波处理方法(Document describes a large number of discrete experimental data smoothing filter processing method)

黑塞矩阵（Hessian Matrix），又译作海森矩阵、海瑟矩阵、海塞矩阵等，是一个多元函数的二阶偏导数构成的方阵，描述了函数的局部曲率。黑塞矩阵最早于19世纪由德国数学家Ludwig Otto Hesse提出，并以其名字命名。黑塞矩阵常用于牛顿法解决优化问题，利用黑塞矩阵可判定多元函数的极值问题。在工程实际问题的优化设计中，所列的目标函数往往很复杂，为了使问题简化，常常将目标函数在某点邻域展开成泰勒多项式来逼近原函数，此时函数在某点泰勒展开式的矩阵形式中会涉及到黑塞矩阵。(Hessian Matrix, is a square matrix of the second order partial derivative of the multivariate function, which describes the local curvature of the function. The Hesse matrix was first proposed by the German mathematician Ludwig Otto Hesse in the 19th century and named after it. Hesse matrix is often used in Newton method to solve the optimization problem, using the black plug matrix to determine the extreme function of the extreme value problem.)

alpha稳定分布噪声的matlab实现(alpha stable distribution noise matlab implementation)

说明：  计算两个离散变量x和y的联合熵z = H（x，y）。 输入：x，y：两个相同长度的整数向量输出：z：联合熵 可以使用，有利于学习目的(Compute joint entropy z=H(x,y) of two discrete variables x and y. Input: of x, y: two integer vector of the same length Output: z: joint entropy good for learning purposes)

基于LSB的隐写算法，以及基于猫脸变换的图像隐写改进算法。(The steganography algorithm based on LSB and the image steganography based on cat face transform.)

读取单幅envi图像格式的img图像，并将其显示出来(read img)

分割点云，并通过局部拟合求取法向量，实现点云压缩(Split point cloud, and through local fitting strike normal vector of point cloud compression)