OpenCv椭圆皮肤模型

Mat input_image;
Mat output_mask;
Mat output_image;

void main()
{
    VideoCapture cam();
    if (!cam.isOpened())
        return;

    namedWindow("input image");
    namedWindow("output mask");
    namedWindow("output image");
    //椭圆皮肤模型
    Mat skinCrCbHist = Mat::zeros(Size(, ), CV_8UC1);
    ellipse(skinCrCbHist, Point(, 155.6), Size(23.4, 15.2), 43.0, 0.0, 360.0, Scalar(, , ), -);

    while (true) {
        cam >> input_image;
        if (input_image.empty())
            return;

        Mat ycrcb_image;
        output_mask = Mat::zeros(input_image.size(), CV_8UC1);
        cvtColor(input_image, ycrcb_image, CV_BGR2YCrCb); //首先转换成到YCrCb空间
        for (int i = ; i < input_image.cols; i++)   //利用椭圆皮肤模型进行皮肤检测
        for (int j = ; j < input_image.rows; j++){
            Vec3b ycrcb = ycrcb_image.at<Vec3b>(j, i);
            if (skinCrCbHist.at<uchar>(ycrcb[], ycrcb[]) > )
                output_mask.at<uchar>(j, i) = ;
        }
        input_image.copyTo(output_image, output_mask);
        cv::erode(output_mask, output_mask, cv::Mat());
        cv::erode(output_mask, output_mask, cv::Mat());
        cv::erode(output_mask, output_mask, cv::Mat());
        cv::erode(output_mask, output_mask, cv::Mat());
        cv::dilate(output_mask, output_mask, cv::Mat());
        imshow("input image", input_image);
        imshow("output mask", output_mask);
        imshow("output image", output_image);
        output_image.setTo();
        if ( == waitKey())
            return;
    }
    return;
}

第二种：

Mat input_image;
Mat output_mask;
Mat output_image;
Mat mask;
void main()
{
    VideoCapture cam();
    if (!cam.isOpened())
        return;

    ///椭圆皮肤模型
    Mat skinCrCbHist = Mat::zeros(Size(, ), CV_8UC1);
    ellipse(skinCrCbHist, Point(, 155.6), Size(23.4, 15.2), 43.0, 0.0, 360.0, Scalar(, , ), -);

    Mat element = getStructuringElement(MORPH_RECT, Size(, ), Point(-, -));

    while (true)
    {
        cam >> input_image;
        if (input_image.empty())
            return;

        Mat ycrcb_image;
        output_mask = Mat::zeros(input_image.size(), CV_8UC1);
        cvtColor(input_image, ycrcb_image, CV_BGR2YCrCb); //首先转换成到YCrCb空间

        for (int i = ; i < input_image.rows; i++) //利用椭圆皮肤模型进行皮肤检测
        {
            uchar* p = (uchar*)output_mask.ptr<uchar>(i);
            Vec3b* ycrcb = (Vec3b*)ycrcb_image.ptr<Vec3b>(i);
            for (int j = ; j < input_image.cols; j++)
            {
                if (skinCrCbHist.at<uchar>(ycrcb[j][], ycrcb[j][]) > )
                    p[j] = ;
            }
        }

        morphologyEx(output_mask, output_mask, MORPH_CLOSE, element);

        vector< vector<Point> > contours;   // 轮廓
        vector< vector<Point> > filterContours; // 筛选后的轮廓
        vector< Vec4i > hierarchy;    // 轮廓的结构信息
        contours.clear();
        hierarchy.clear();
        filterContours.clear();

        findContours(output_mask, contours, hierarchy, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE);
        // 去除伪轮廓
        for (size_t i = ; i < contours.size(); i++)
        {
            if (fabs(contourArea(Mat(contours[i]))) > &&fabs(arcLength(Mat(contours[i]),true))<)  //判断手进入区域的阈值
                filterContours.push_back(contours[i]);
        }

        output_mask.setTo();
        drawContours(output_mask, filterContours, -, Scalar(, , ), CV_FILLED); //8, hierarchy);   

        input_image.copyTo(output_image, output_mask);
        imshow("input image", input_image);
        imshow("output image", output_image);

        output_image.setTo();
        if ( == waitKey())
            return;
    }
    return;
}