RbgtoHsi

// RbgtoHsi.cpp : Defines the entry point for the console application.//#include "stdafx.h"#include <stdio.h>#include <math.h>#include <cv.h>#include <highgui.h>#include <cxcore.h>#include <cvaux.h>int miny(int a, int b, int c);int Rgb2Hsi(const IplImage* src, IplImage* dataH, IplImage* dataS, IplImage* dataI);int main(int argc, char * argv[]){    IplImage * Img = cvLoadImage("2.bmp", 1);    IplImage * HImg = cvCreateImage(cvGetSize(Img), IPL_DEPTH_8U, 1);    IplImage * SImg = cvCreateImage(cvGetSize(Img), IPL_DEPTH_8U, 1);    IplImage * IImg = cvCreateImage(cvGetSize(Img), IPL_DEPTH_8U, 1);        if( Rgb2Hsi(Img, HImg, SImg, IImg) == 0)    {        printf("Convert Error!\n");        exit(-1);    }        //高斯滤波先，以平滑图像    cvSmooth(SImg, SImg, CV_GAUSSIAN, 3, 0, 0, 0);//    cvThreshold(SImg, SImg, 100, 255, CV_THRESH_BINARY);        IplImage *pImgCanny = cvCreateImage(cvGetSize(SImg), IPL_DEPTH_8U, 1);    cvCanny(SImg, pImgCanny, 50, 150, 3);        cvNamedWindow("Img", 1);        cvNamedWindow("HImg", 1);    cvNamedWindow("SImg", 1);    cvNamedWindow("IImg", 1);    cvShowImage("Img", Img);    cvShowImage("HImg", HImg);    cvShowImage("SImg", SImg);    cvShowImage("IImg", IImg);    cvWaitKey(0);    return 0;}int miny(int a, int b, int c){    int m = a;    if(m > b)        m = b;    if( m > c)        m = c;    return m;}int Rgb2Hsi(const IplImage* src, IplImage* dataH, IplImage* dataS, IplImage* dataI){    //返回0：成功，1：失败    //输入为彩色图像src, 输出dataH,dataS,dataI,分别为HSI模型的H、S、I分量    int y,x,offsetSrc,offsetHsi;    int step,channels,step1;    int r,g,b,minRgb;    double cosThita,num,den,S,H;    uchar *dataImg;    uchar *dataS1;    uchar *dataI1;    uchar *dataH1;    channels = src->nChannels;    dataImg = (uchar *)src->imageData;    dataI1 = (uchar *)dataI->imageData;    dataH1=(uchar *)dataH->imageData;    dataS1=(uchar *)dataS->imageData;    if (channels!=3)    {        printf("The input image is not 3-channels!\n");        return 0;    }    step=src->widthStep;    step1=dataI->widthStep;    for (y=0; y<src->height; y++)     for (x=0; x<src->width; x++)        {            offsetSrc = y*step + x*channels;            offsetHsi=y*step1+x;            b = dataImg[offsetSrc];             g=dataImg[offsetSrc+1];             r=dataImg[offsetSrc+2];            dataI1[offsetHsi] = (int)((r+g+b)/3+0.5);            num=(2*r-g-b)/2;            den=sqrt((r-g)*(r-g)+(r-b)*(g-b));            if (den==0)                den=0.01;            cosThita=acos(num/den);            minRgb = miny(r, g, b);            den=r+g+b;            if (den==0)                den=0.01;            S=1-3*minRgb/den;            dataS1[offsetHsi]=(int) (S*255+0.5);//将S分量和H分量都扩充到[0,255]区间以便于显示                                     //一般H分量在[0,2pi]之间，S在[0,1]之间                 if (b<=g)                H=cosThita/(2*3.14);            else                H=(2*3.14-cosThita)/(2*3.14);            dataH1[offsetHsi] = (int)(H*255+0.5);            if (S==0)                dataH1[offsetHsi]=0;        }    return 1;}

效果：

hue               [hjuː]                n. 色调

saturability  [sætʃərə'biliti]   n. 饱和度

luminance   ['lumɪnəns]         n.  亮度

 

opencv  rgbtohsi

int main(int argc, char *argv[])
{
 IplImage *img = cvLoadImage("r2.jpg",1);
 
 IplImage *r  = cvCreateImage( cvGetSize(img), img->depth, 1);
 IplImage *g  = cvCreateImage( cvGetSize(img), img->depth, 1);
 IplImage *b  = cvCreateImage( cvGetSize(img), img->depth, 1);
 
 
 CvMat *rmat = cvCreateMat( img->height, img->width, CV_32FC1);
 CvMat *gmat = cvCreateMat( img->height, img->width, CV_32FC1);
 CvMat *bmat = cvCreateMat( img->height, img->width, CV_32FC1);
 CvMat *temp1 = cvCreateMat( img->height, img->width, CV_32FC1);
 CvMat *temp2 = cvCreateMat( img->height, img->width, CV_32FC1);
 CvMat *temp3 = cvCreateMat( img->height, img->width, CV_32FC1);
 
//  cvNamedWindow("saturation", 1);
//  cvNamedWindow("intensity", 1);
 cvSplit( img, b, g, r, NULL);
 cvConvert(b, bmat);
 cvConvert(g, gmat);
 cvConvert(r, rmat);
 
 //计算饱和度S
 
 cvMin( bmat, gmat, temp1);
 cvMin( rmat, temp1, temp1);
 cvAdd( bmat, gmat, temp2 );
 cvAdd( temp2, rmat, temp2);
 
  cvDiv( temp1, temp2, temp3, 765.0);

// cvDiv( temp1, temp2, temp3, 1);

 cvAbsDiffS( temp3, temp3, cvScalarAll( 255.0 ));
 cvConvert( temp3, r ); 
 
 //计算亮度I 
 cvAddWeighted( bmat, 1.0/3.0, rmat, 1.0/3.0, 0.0, bmat );
 cvAddWeighted( bmat, 1.0, gmat, 1.0/3.0, 0.0, bmat);
 cvConvert( bmat, g ); 
 
//  cvShowImage("saturation", r);
//  cvShowImage( "intensity", g);
 
 cvSaveImage("saturation.jpg",r);
 cvSaveImage("intensity.jpg",g);

}