Kriging

光流（运动估计）经典算法Horn and Schunck算法MATLAB程序(optical flow (Motion Estimation) classical algorithm Horn and Schunck algorithm MATLAB)

这是一个基于matlab语言编写的沃尔什变换程序，里面有一个4X4的矩阵可当例子，修改相关参数可用于2^n的矩阵(Walsh Transform matlab language based program, which has a 4X4 matrix when the example 2 ^ n matrix can be used to modify the relevant parameters)

说明：  基于matlab平台的fft加窗插值算法，适用于信号分析(Wft window interpolation algorithm based on matlab platform, suitable for signal analysis)

张正友标定法,标定图像，将图像进行校正，是当今用的最多的方式方法(This method is so good, I have transferred through this. And it is very useful for the IT workers. This is my first code. Thank you every one.)

基于格子玻尔兹曼方法模拟泊肃叶流，边界条件用非平衡格式(Poiseuille flow based on the lattice Boltzmann method to simulate the boundary conditions with unbalanced format )

利用霍夫变换进行直线检测的算法实现 设置不同的阈值来控制直线的输出(detect lines in image)

说明：  本课题的主要内容是图像预处理,它主要从摄像头中获取人脸图像然后进行处理,以便提高定位和识别的准确率.该模块主要包含光线补偿、图像灰度化、高斯平滑、均衡直方图、图像对比度增强，图像预处理模块在整个系统中起着极其关键的作用，图像处理的好坏直接影响着后面的定位和识别工作,内有源代码和全部论文资料(this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing, balanced histogram, image contrast enhancement, image pre- processing module in the system plays a crucial role in image processing will have a direct impact behind the positioning and identification, within Active code and all papers information)

基于MATLAB的SOM神经网络设计源程序(MATLAB-based SOM neural network design source)

个人编写的Matlab的红外图像增强程序，比较简单易懂！(Individual written Matlab infrared image enhancement procedure is relatively simple to understand!)

说明：  数字图像处理常用程序，包括图像读取、显示、详细信息，对图像文件格式转换，RGB分量显示，索引图像、伪彩色图像、真彩色图像显示，灰度直方图处理，图像灰度变换，均衡化处理，图像加噪声处理，均值滤波、中值滤波，图像加减乘除运算，图像放大，插值拟合，旋转，多种边缘检测方法，高通滤波，低通滤波，带通滤波，维纳滤波，运动模糊等处理。(Common digital image processing programs, including image reading, display, detailed information, image file format conversion, RGB component display, index image, pseudo color image, true color image display, gray histogram processing, image gray transformation, equalization processing, image plus noise processing, mean filtering, median filtering, image plus, subtraction, multiplication and division, image amplification, interpolation Fitting, rotation, multiple edge detection methods, high pass filtering, low-pass filtering, band-pass filtering, Wiener filtering, motion blur and other processing.)