同学帮改肤色检测（未完成版）

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直接代码：

#include "cv.h"
#include "highgui.h"#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/core/core.hpp>#include <iostream>
#include <string>
#include <cstdio>using namespace std;
using namespace cv;// 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;Mat ycrcbdouble sum_Cr=0;for(int i=0;i < ycrcb.rows;i++){for(int j=0;j < ycrcb.cols;j++){int sky,skcr,skcb;			//三个通道的值sum_Cr +=  (int) ycrcb.at<Vec3b>(i,j)[1];}}//histogramfloat histogram[256]={0};for(int i=0;i<height;i++) {unsigned char* p=(unsigned char*)src->imageData+src->widthStep*i;for(int j=0;j<width;j++) {histogram[*p++]++;}}//normalize histogramint size=height*width;for(int i=0;i<256;i++) {histogram[i]=histogram[i]/size;}//average pixel valuefloat avgValue=0;for(int i=0;i<256;i++) {avgValue+=i*histogram[i];}int threshold;	float maxVariance=0;float w=0,u=0;for(int i=0;i<256;i++) {w+=histogram[i];u+=i*histogram[i];float t=avgValue*w-u;float variance=t*t/(w*(1-w));if(variance>maxVariance) {maxVariance=variance;threshold=i;}}threshold=131;cout<<"threshold == "<<threshold<<endl;cvThreshold(src,dst,threshold,255,CV_THRESH_BINARY);
}void cvSkinOtsu(IplImage* src, IplImage* dst)//Mat &
{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);//cvtColor//show ycrcbcvShowImage("ycrcb",ycrcb);//vector<Point> mv[3]; //split(ycrcb , mv);cvSplit(ycrcb,0,cr,0,0);//splitcvThresholdOtsu(cr,cr);cvShowImage("out2",cr);//showcvSaveImage("out.jpg",cr);//imwrite//cvWaitKey(0);//cvCopyImage(cr,dst);//cvReleaseImage(&cr);cvReleaseImage(&ycrcb);
}int main()
{IplImage* img = cvLoadImage( "zcr.jpg" );//out用以保存输出图像/*IplImage * out = cvCreateImage(cvGetSize(img),IPL_DEPTH_8U,3);*/IplImage * out;cvShowImage("in",img);cvSkinOtsu(img,out);//cvShowImage("out",out);cvWaitKey(0);cvReleaseImage(&img);//用完清理//cvReleaseImage(&out);//用完清理cvDestroyWindow("in");cvDestroyWindow("out");return 0;
}

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