学习OpenCV——肤色检测

前三种方式转载：http://blog.csdn.net/onezeros/article/details/6342567

 

第一种：RGB color space

第二种：RG color space

第三种：Ycrcb之cr分量+otsu阈值化

第四种：YCrCb中133<=Cr<=173 77<=Cb<=127

第五种：HSV中 7

 下一步需要滤波操作 因为检测结果中有许多瑕疵

#include "highgui.h"
#include "cv.h"

// skin region location using rgb limitation
void SkinRGB(IplImage* rgb,IplImage* _dst)
{
	assert(rgb->nChannels==3&& _dst->nChannels==3);

	static const int R=2;
	static const int G=1;
	static const int B=0;

	IplImage* dst=cvCreateImage(cvGetSize(_dst),8,3);
	cvZero(dst);

	for (int h=0;hheight;h++) {
		unsigned char* prgb=(unsigned char*)rgb->imageData+h*rgb->widthStep;
		unsigned char* pdst=(unsigned char*)dst->imageData+h*dst->widthStep;
		for (int w=0;wwidth;w++) {
			if ((prgb[R]>95 && prgb[G]>40 && prgb[B]>20 &&
				prgb[R]-prgb[B]>15 && prgb[R]-prgb[G]>15/*&&
				!(prgb[R]>170&&prgb[G]>170&&prgb[B]>170)*/)||//uniform illumination 
				(prgb[R]>200 && prgb[G]>210 && prgb[B]>170 &&
				abs(prgb[R]-prgb[B])<=15 && prgb[R]>prgb[B]&& prgb[G]>prgb[B])//lateral illumination
				) {
					memcpy(pdst,prgb,3);
			}			
			prgb+=3;
			pdst+=3;
		}
	}
	cvCopyImage(dst,_dst);
	cvReleaseImage(&dst);
}
// skin detection in rg space
void cvSkinRG(IplImage* rgb,IplImage* gray)
{
	assert(rgb->nChannels==3&&gray->nChannels==1);
	
	const int R=2;
	const int G=1;
	const int B=0;

	double Aup=-1.8423;
	double Bup=1.5294;
	double Cup=0.0422;
	double Adown=-0.7279;
	double Bdown=0.6066;
	double Cdown=0.1766;
	for (int h=0;hheight;h++) {
		unsigned char* pGray=(unsigned char*)gray->imageData+h*gray->widthStep;
		unsigned char* pRGB=(unsigned char* )rgb->imageData+h*rgb->widthStep;
		for (int w=0;wwidth;w++) 
		{
			int s=pRGB[R]+pRGB[G]+pRGB[B];
			double r=(double)pRGB[R]/s;
			double g=(double)pRGB[G]/s;
			double Gup=Aup*r*r+Bup*r+Cup;
			double Gdown=Adown*r*r+Bdown*r+Cdown;
			double Wr=(r-0.33)*(r-0.33)+(g-0.33)*(g-0.33);
			if (gGdown && Wr>0.004)
			{
				*pGray=255;
			}
			else
			{ 
				*pGray=0;
			}
			pGray++;
			pRGB+=3;
		}
	}

}
// implementation of otsu algorithm
// author: onezeros#yahoo.cn
// reference: Rafael C. Gonzalez. Digital Image Processing Using MATLAB
void cvThresholdOtsu(IplImage* src, IplImage* dst)
{
	int height=src->height;
	int width=src->width;

	//histogram
	float histogram[256]={0};
	for(int i=0;iimageData+src->widthStep*i;
		for(int j=0;jmaxVariance) {
			maxVariance=variance;
			threshold=i;
		}
	}

	cvThreshold(src,dst,threshold,255,CV_THRESH_BINARY);
}

void cvSkinOtsu(IplImage* src, IplImage* dst)
{
	assert(dst->nChannels==1&& src->nChannels==3);

	IplImage* ycrcb=cvCreateImage(cvGetSize(src),8,3);
	IplImage* cr=cvCreateImage(cvGetSize(src),8,1);
	cvCvtColor(src,ycrcb,CV_BGR2YCrCb);
	cvSplit(ycrcb,0,cr,0,0);

	cvThresholdOtsu(cr,cr);
	cvCopyImage(cr,dst);
	cvReleaseImage(&cr);
	cvReleaseImage(&ycrcb);
}

void cvSkinYUV(IplImage* src,IplImage* dst)
{
	IplImage* ycrcb=cvCreateImage(cvGetSize(src),8,3);
	//IplImage* cr=cvCreateImage(cvGetSize(src),8,1);
	//IplImage* cb=cvCreateImage(cvGetSize(src),8,1);
	cvCvtColor(src,ycrcb,CV_BGR2YCrCb);
	//cvSplit(ycrcb,0,cr,cb,0);

	static const int Cb=2;
	static const int Cr=1;
	static const int Y=0;

	//IplImage* dst=cvCreateImage(cvGetSize(_dst),8,3);
	cvZero(dst);

	for (int h=0;hheight;h++) {
		unsigned char* pycrcb=(unsigned char*)ycrcb->imageData+h*ycrcb->widthStep;
		unsigned char* psrc=(unsigned char*)src->imageData+h*src->widthStep;
		unsigned char* pdst=(unsigned char*)dst->imageData+h*dst->widthStep;
		for (int w=0;wwidth;w++) {
			if (pycrcb[Cr]>=133&&pycrcb[Cr]<=173&&pycrcb[Cb]>=77&&pycrcb[Cb]<=127)
			{
					memcpy(pdst,psrc,3);
			}
			pycrcb+=3;
			psrc+=3;
			pdst+=3;
		}
	}
	//cvCopyImage(dst,_dst);
	//cvReleaseImage(&dst);
}

void cvSkinHSV(IplImage* src,IplImage* dst)
{
	IplImage* hsv=cvCreateImage(cvGetSize(src),8,3);
	//IplImage* cr=cvCreateImage(cvGetSize(src),8,1);
	//IplImage* cb=cvCreateImage(cvGetSize(src),8,1);
	cvCvtColor(src,hsv,CV_BGR2HSV);
	//cvSplit(ycrcb,0,cr,cb,0);

	static const int V=2;
	static const int S=1;
	static const int H=0;

	//IplImage* dst=cvCreateImage(cvGetSize(_dst),8,3);
	cvZero(dst);

	for (int h=0;hheight;h++) {
		unsigned char* phsv=(unsigned char*)hsv->imageData+h*hsv->widthStep;
		unsigned char* psrc=(unsigned char*)src->imageData+h*src->widthStep;
		unsigned char* pdst=(unsigned char*)dst->imageData+h*dst->widthStep;
		for (int w=0;wwidth;w++) {
			if (phsv[H]>=7&&phsv[H]<=29)
			{
					memcpy(pdst,psrc,3);
			}
			phsv+=3;
			psrc+=3;
			pdst+=3;
		}
	}
	//cvCopyImage(dst,_dst);
	//cvReleaseImage(&dst);
}

int main()
{   
	
    IplImage* img= cvLoadImage("D:/skin.jpg"); //随便放一张jpg图片在D盘或另行设置目录
	IplImage* dstRGB=cvCreateImage(cvGetSize(img),8,3);
	IplImage* dstRG=cvCreateImage(cvGetSize(img),8,1);
	IplImage* dst_crotsu=cvCreateImage(cvGetSize(img),8,1);
	IplImage* dst_YUV=cvCreateImage(cvGetSize(img),8,3);
	IplImage* dst_HSV=cvCreateImage(cvGetSize(img),8,3);


    cvNamedWindow("inputimage", CV_WINDOW_AUTOSIZE);
    cvShowImage("inputimage", img);
    cvWaitKey(0);

	SkinRGB(img,dstRGB);
	cvNamedWindow("outputimage1", CV_WINDOW_AUTOSIZE);
    cvShowImage("outputimage1", dstRGB);
    cvWaitKey(0);
	cvSkinRG(img,dstRG);
	cvNamedWindow("outputimage2", CV_WINDOW_AUTOSIZE);
    cvShowImage("outputimage2", dstRG);
	cvWaitKey(0);
	cvSkinOtsu(img,dst_crotsu);
	cvNamedWindow("outputimage3", CV_WINDOW_AUTOSIZE);
    cvShowImage("outputimage3", dst_crotsu);
	cvWaitKey(0);
	cvSkinYUV(img,dst_YUV);
	cvNamedWindow("outputimage4", CV_WINDOW_AUTOSIZE);
    cvShowImage("outputimage4", dst_YUV);
	cvWaitKey(0);
	cvSkinHSV(img,dst_HSV);
	cvNamedWindow("outputimage5", CV_WINDOW_AUTOSIZE);
    cvShowImage("outputimage5", dst_HSV);
	cvWaitKey(0);
    return 0;
}

 

 

原图像

 

rgb model

 

rg model

 

otsu+cr