利用OpenCV检测肤色

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#include <cv.h>   #include <highgui.h>     // 该接口来至   冰风2009手势识别    // 进行肤色检测   void SkinDetect(IplImage* src,IplImage* dst)   {       // 创建图像头       IplImage* hsv = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 3);//用于存图像的一个中间变量，是用来分通道用的，分成hsv通道       IplImage* tmpH1 = cvCreateImage( cvGetSize(src), IPL_DEPTH_8U, 1);//通道的中间变量，用于肤色检测的中间变量       IplImage* tmpS1 = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 1);       IplImage* tmpH2 = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 1);       IplImage* tmpS3 = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 1);       IplImage* tmpH3 = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 1);       IplImage* tmpS2 = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 1);       IplImage* H = cvCreateImage( cvGetSize(src), IPL_DEPTH_8U, 1);       IplImage* S = cvCreateImage( cvGetSize(src), IPL_DEPTH_8U, 1);       IplImage* V = cvCreateImage( cvGetSize(src), IPL_DEPTH_8U, 1);         IplImage* src_tmp1=cvCreateImage(cvGetSize(src),8,3);              // 高斯模糊       cvSmooth(src,src_tmp1,CV_GAUSSIAN,3,3); //高斯模糊              // hue色度，saturation饱和度，value纯度       cvCvtColor(src_tmp1, hsv, CV_BGR2HSV );//颜色转换       cvCvtPixToPlane(hsv,H,S,V,0);//分为3个通道   /*********************肤色检测部分**************/      cvInRangeS(H,cvScalar(0.0,0.0,0,0),cvScalar(20.0,0.0,0,0),tmpH1);       cvInRangeS(S,cvScalar(75.0,0.0,0,0),cvScalar(200.0,0.0,0,0),tmpS1);       cvAnd(tmpH1,tmpS1,tmpH1,0);              // Red Hue with Low Saturation       // Hue 0 to 26 degree and Sat 20 to 90       cvInRangeS(H,cvScalar(0.0,0.0,0,0),cvScalar(13.0,0.0,0,0),tmpH2);        cvInRangeS(S,cvScalar(20.0,0.0,0,0),cvScalar(90.0,0.0,0,0),tmpS2);       cvAnd(tmpH2,tmpS2,tmpH2,0);         // Red Hue to Pink with Low Saturation       // Hue 340 to 360 degree and Sat 15 to 90       cvInRangeS(H,cvScalar(170.0,0.0,0,0),cvScalar(180.0,0.0,0,0),tmpH3);       cvInRangeS(S,cvScalar(15.0,0.0,0,0),cvScalar(90.,0.0,0,0),tmpS3);       cvAnd(tmpH3,tmpS3,tmpH3,0);         // Combine the Hue and Sat detections       cvOr(tmpH3,tmpH2,tmpH2,0);       cvOr(tmpH1,tmpH2,tmpH1,0);         cvCopy(tmpH1,dst);         cvReleaseImage(&hsv);       cvReleaseImage(&tmpH1);       cvReleaseImage(&tmpS1);       cvReleaseImage(&tmpH2);       cvReleaseImage(&tmpS2);       cvReleaseImage(&tmpH3);       cvReleaseImage(&tmpS3);       cvReleaseImage(&H);       cvReleaseImage(&S);       cvReleaseImage(&V);       cvReleaseImage(&src_tmp1);   }     int main(int argc, char* argv[])   {         IplImage *src=cvLoadImage("hand.jpg", CV_LOAD_IMAGE_COLOR);       //        cvNamedWindow("src", CV_WINDOW_AUTOSIZE);       cvShowImage("src", src);       //         cvNamedWindow("flip", CV_WINDOW_AUTOSIZE);       IplImage *dsc = cvCreateImage(cvGetSize(src), src->depth, 1);              // 以x轴翻转       SkinDetect(src, dsc);       // cvFlip(src, dsc, 1);       cvShowImage("flip", dsc);       cvWaitKey(0);       cvDestroyAllWindows();       cvReleaseImage(&src);       printf("Hello World!/n");       return 0;   }
文章来自于：
http://blog.csdn.net/ycc892009/article/details/6516628
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