SNAPHU

利用K均值聚类的方法实现人体的检测，混合高斯模型建立背景并实时更新(The use of K-means clustering method to achieve the human body detection, Gaussian mixture model to establish the background and real-time updates)

实现了基于关键像素点的FLICM图像分割算法，关键像素由局部最大值方法提取。(A FLICM image segmentation algorithm based on key pixels is implemented. Key pixels are extracted by local maximum method.)

图像质量评价，基于梯度的算法，适合初学者学习，其中有曲线拟合部分。(Image quality evaluation, gradient-based algorithm, suitable for beginners to learn, which curve fitting part.)

说明：  用于图像畸变的校正，很实用好用，本人自己编写的(Correction for image distortion, very practical easy to use, I have written the)

利用FFT傅里叶变换，去除影像中的条带噪声(Removal of image noise)

易语言动画地图编辑器源码，易语言写的图形图像编程，很好的参考。(Easy language animated map editor source code, easy graphic language programming, a good reference.)

rgb to HSV，很有用，调试成功，可以应用(rgb to HSV，#include "stdafx.h" #include <iostream.h> void main(float R, float G, float B, float& H, float& S, float&V) { // r,g,b values are from 0 to 1 // h = [0,360], s = [0,1], v = [0,1] // if s == 0, then h =-1 (undefined) float min, max, delta,tmp tmp = R>G?G:R min = tmp>B?B:tmp tmp = R>G?R:G max = tmp>B?tmp:B V = max // v delta = max- min if( max != 0 ) S = delta/max // s else { // r = g = b = 0 // s = 0, v is undefined S = 0 H = 0 return } if (delta == 0){ H = 0 return } else if(R == max){ if (G >= B) H = (G- B)/delta // between yellow & magenta else H = (G- B)/delta+ 6 } else if( G == max ) H = 2+ ( B- R )/delta // between cyan & yellow else if (B == ma)

这是一份关于数字图像处理半色调打印技术的MATLab源程序。(This is a paper about Halftoning.)

奇异值分解波束形成，自适应波束形成仿真。由均匀线阵形式，确定阵列的导向矢量；由阵列导向矢量，对接收信号进行建模仿真；根据约束条件，实现自适应波束形成算法；考察算法性能与信噪比，采样率，观测时间等参数的关系。 (SVD beamforming, adaptive beamforming simulation. Form by the ULA to determine the array steering vector by the array steering vector, the received signal modeling and simulation under constraint conditions, adaptive beamforming algorithm examine algorithm performance and signal to noise ratio, sample rate, observation time, etc. parameters.)

说明：  利用小波进行边缘提取，比较各种小波核函数的能力，体会“数学显微镜”的妙用，例子：车牌定位。(using wavelet edge detection, comparison of different wavelet function of the nuclear capability and experience "math microscope," the magic examples : positioning plates.)