RVM-hyperspectral

结构光照明荧光显微镜数据稳定性检测程序，非常强大(Structured light illumination fluorescence microscopy data stability testing procedures, very strong)

大恒相机二次开发，单次采集

说明：  matlab 实现小波图像去噪，自编程序非调用库函数(matlab implementation of wavelet image denoising, non-self-compiled programs call library functions)

说明：  matlab的几种小波阈值去噪方法实例。包括固定阈值，Rigrsure阈值，启发式阈值等。(Matlab several wavelet threshold denoising method instance. Fixed threshold, the Rigrsure threshold heuristic threshold.)

数字图像处理，对彩色图像的拉普拉斯算子锐化以及梯度算子锐化的比较，VC/MFC实现。(Digital image processing, color image of the Laplacian and the gradient operator sharpening sharpening comparison, VC/MFC implementation.)

基于matlab编写的一种退火算法，可以产生一个比较简单的图形。(An annealing algorithm based on Matlab can produce a simpler figure.)

说明：  有四个M文件，可以用于图像处理中的图像细化，有较好的效果(There are four M documents, can be used for image processing of image thinning, there are good results)

实现LLE算法，本算法是改进的LLE算法，主要是针对人脸图像的。()

图像处理（图像融合，图像加密等）的性能评价指标集包括：平均梯度，边缘强度，信息熵，灰度均值，标准差(均方差MSE)，均方根误差，峰值信噪比（psnr），空间频率(sf)，图像清晰度，互信息(mi)，结构相似性(ssim)，交叉熵(cross entropy)，相对标准差。(Image processing，average gradient, edge strength, information entropy, gray mean, standard deviation (variance (MSE), are root mean square error, peak signal to noise ratio (PSNR), spatial frequency (SF), the sharpness of the image, the mutual information (MI), similar to the structure of (SSIM) and cross entropy (cross entropy). The relative standard deviation)

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)