MSRM_1

这是一个比较完整的KPCA算法，通过这个算法可以快速的找到主要的特征向量进行主成分分析。(This is a relatively complete KPCA algorithm, this algorithm can quickly find the main feature vector principal component analysis.)

解决一些图像处理的小问题，具体的划分和问题，文件里有提到(Solve some small problems in image processing)

医学图像分割水平及方法理论书籍《Level Set Methods and Dynamic Implicit Surfaces》代码(Medical image segmentation level of theory and methodology of the book )

基于IHS变换的图像融合matlab程序，基于IHS变换和小波帧变换的图像融合matlab程序。(IHS transform based image fusion matlab program, based on the IHS transform and wavelet frame transform matlab image fusion procedures.)

内含盲均衡与盲解卷算法matlab程序，用于盲信号处理领域(intron blind equalization and blind deconvolution algorithm Matlab procedures for the blind signal processing field)

给定一幅图像，输出其直方图。给定一个线性变换函数(可以输入不同的参数)，实现图像的灰度拉伸；实现对图像的均衡化。 实验测试图像：任意 (histogram；Gray stretch；Image equalization)

说明：  能精确的提取数字图像的轮廓。不管图形的形状如何，都能达到预期的效果。并且能将边界的坐标输出到一个文件中，供使用者分析数据。(Able to extract precise contours of the digital image. Regardless of the shape of how graphics can achieve the desired effects. The coordinates of the border and is capable of output to a file, for users to analyze data.)

用openCV实现，用Camshift算法实现彩色目标跟踪(openCV,color object tracking usingCamshift)

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)

说明：  对图像中不同的颜色进行提取，从而实现图像分割和不同颜色处理(Extracting different colors from images)