// 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, );//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, );//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, );

    IplImage* tmpH2 = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, );

    IplImage* tmpS3 = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, );

    IplImage* tmpH3 = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, );

    IplImage* tmpS2 = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, );

    IplImage* H = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, );

    IplImage* S = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, );

    IplImage* V = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, );

    IplImage* src_tmp1 = cvCreateImage(cvGetSize(src), , );

    // 高斯模糊

    cvSmooth(src, src_tmp1, CV_GAUSSIAN, , ); //高斯模糊   

    // hue色度，saturation饱和度，value纯度

    cvCvtColor(src_tmp1, hsv, CV_BGR2HSV);//颜色转换

    cvSplit(hsv, H, S, V, );//分为3个通道   

    cvInRangeS(H, cvScalar(0.0, 0.0, , ), cvScalar(20.0, 0.0, , ), tmpH1);

    cvInRangeS(S, cvScalar(75.0, 0.0, , ), cvScalar(200.0, 0.0, , ), tmpS1);

    cvAnd(tmpH1, tmpS1, tmpH1, );

    // Red Hue with Low Saturation

    // Hue 0 to 26 degree and Sat 20 to 90

    cvInRangeS(H, cvScalar(0.0, 0.0, , ), cvScalar(13.0, 0.0, , ), tmpH2);

    cvInRangeS(S, cvScalar(20.0, 0.0, , ), cvScalar(90.0, 0.0, , ), tmpS2);

    cvAnd(tmpH2, tmpS2, tmpH2, );

    // Red Hue to Pink with Low Saturation

    // Hue 340 to 360 degree and Sat 15 to 90

    cvInRangeS(H, cvScalar(170.0, 0.0, , ), cvScalar(180.0, 0.0, , ), tmpH3);

    cvInRangeS(S, cvScalar(15.0, 0.0, , ), cvScalar(., 0.0, , ), tmpS3);

    cvAnd(tmpH3, tmpS3, tmpH3, );

    // Combine the Hue and Sat detections

    cvOr(tmpH3, tmpH2, tmpH2, );

    cvOr(tmpH1, tmpH2, tmpH1, );

    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("C:\\C_C++ code\\Photo and video\\text009.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");

    */

    VideoCapture video();

    IplImage *src, *dst;

    Mat img,bigimg;

    double scalar = ;

    video >> img;

    src = &(IplImage(img));

    dst = cvCreateImage(cvGetSize(src), , );

    while ()

    {

        video >> img;

        src = &(IplImage(img));

        SkinDetect(src, dst);

        img = cvarrToMat(dst);

        //腐蚀与膨胀

        erode(img, img, Mat());

        erode(img, img, Mat());

        //erode(img, img, Mat());

        dilate(img, img, Mat());

        dilate(img, img, Mat());

        dilate(img, img, Mat());

        dilate(img, img, Mat());

        dilate(img, img, Mat());

        resize(img, bigimg, Size(img.cols*scalar, img.rows*scalar), , , );

        imshow("x", bigimg);

        if (waitKey() > )

            break;

    }

    waitKey();

    return ;

}