hsv.rar_HSV _HSV颜色空间

#include <cv.h> #include <highgui.h> #include <cxcore.h> #include <stdio.h> #pragma comment(lib,"cv") #pragma comment(lib,"cvaux") #pragma comment(lib,"cxcore") #pragma comment(lib,"highgui") int main(int argc, char* argv[]) { IplImage* img=cvLoadImage("d:\\image\\2_2.bmp"); IplImage* pImg1 = cvCreateImage(cvGetSize(img), img->depth, img->nChannels);//size图像宽高，depth图像元素的位深度，Channels每个元素（像素）的颜色通道数量 IplImage* pImg2 = cvCreateImage(cvGetSize(img), img->depth, img->nChannels); IplImage* pImg4 = cvCreateImage(cvGetSize(img), img->depth, img->nChannels); IplImage* pImg5 = cvCreateImage(cvGetSize(img), img->depth, img->nChannels); cvCvtColor(img,pImg2,CV_BGR2HSV);//rgb->ycbcr色彩空间转换img源图像，pimg2为ycbcr图 /* ycbcr 第二种方法用来检测肤色*/ CvScalar c,d; for(int HSV_i2=0;HSV_i2<img->height;HSV_i2++){ for(int HSV_j2=0;HSV_j2<img->width;HSV_j2++){ c = cvGet2D(pImg2,HSV_i2,HSV_j2); // get the (i,j) pixel value //d = cvGet2D(pImg4,ycbcr_i2,ycbcr_j2); double H,S,V; H = c.val[0]; S= c.val[1]; V= c.val[2]; // H >= 0.015&&H <=0.085&&S >=20&&V >=80 if(H <= 15&&H>=0&&S >=10&&V >=40) { d.val[0] = 255; d.val[1] = 255; d.val[2] = 255; } else { d.val[0] = 0; d.val[1] = 0; d.val[2] = 0; } cvSet2D(pImg4,HSV_i2,HSV_j2,d);//set the (i,j) pixel value } } cvSaveImage("./HSV.bmp",pImg2); cvSaveImage("./skin2.bmp",pImg4); cvNamedWindow("Image",1); cvNamedWindow("HSV",2); cvNamedWindow("skin2",1); cvShowImage("Image",img); cvShowImage("HSV",pImg2); cvShowImage("skin2",pImg4); cvWaitKey(0); //等待按键 cvDestroyWindow("skin2");//销毁窗口 cvDestroyWindow("yHSV"); cvDestroyWindow("Image");//销毁窗口 cvReleaseImage(&pImg4); cvReleaseImage(&pImg2); cvReleaseImage( &img ); //释放图像 return 0; }