toolbox_fast_marching

matlab光学仿真，模拟光线的反射、折射；非常强大的光学仿真软件。(Matlab optical simulation,Simulate the reflection and refraction of light;;very powerful optical simulation software.)

总变分法TV模型代码domo，部分代码，对图像恢复，去噪有一定作用(Variational method of total TV model code domo, some code, for image restoration, denoising have a certain role)

将图片由RGB格式转化为YCbCr格式下，用椭圆方法判定肤色和非肤色区域，进行二值化处理，最后显示结果(Pictures from RGB format into a YCbCr format, the method used to determine color elliptical and non-color regions, to carry out binarization processing, the final result will be displayed)

说明：  运动目标识别，采用背景差分方法。背景图像由均值法获得。里面的视频换成前几帧换成纯背景效果能更好一点(Moving target identification, using the background difference method. Background image obtained from the mean. Which replaced the previous video frame replaced by pure background a little better results)

chan和vese的多水平集算法，可以用2条初始水平集来演化，从而达到检测多目标的目的。(chan and the multi-level set algorithm, you can use two sets to the initial level of evolution, so as to achieve the goal of multi-purpose.)

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)

基于颜色的图像检索，采用累积多种距离衡量算法(Color-based image retrieval, using a variety of distance measuring algorithm cumulative)

对图像进行模糊处理前的第一步设计操作，然后进行加强滤波处理(Fuzzy image processing operation prior to the first step in the design and then proceed to strengthen the filter processing)

说明：  傅里叶变换中的角谱衍射理论，GS算法实现(Angle spectrum diffraction theory in Fourier transform, Realization with GS algorithm)

说明：  基于ADMM的TV正则化最小化稀疏重建算法(TV Minimization Sparse Reconstruction Algorithms Based on ADMM)