funcion1-qt-opencv-findcontours-encontrar-contornos.cpp

void MainWindow::ftimer(){
    //Paso # 1 - Procesar imagen anterior para filtro de ventana

    if(!ImagenHSV.empty()){
    int canal0Min = ui->barraCanal0Min->value();
    int canal0Max = ui->barraCanal0Max->value();
    int canal1Min = ui->barraCanal1Min->value();
    int canal1Max = ui->barraCanal1Max->value();
    int canal2Min = ui->barraCanal2Min->value();
    int canal2Max = ui->barraCanal2Max->value();





    inRange(IMAGENchica,Scalar(canal0Min,canal1Min,canal2Min),Scalar(canal0Max,canal1Max,canal2Max),ImagenFiltrada);

    vector<vector<Point> > contornos;
    vector<Vec4i> jerarquia;

    Mat copiaImagenFiltrada;
    copiaImagenFiltrada = ImagenFiltrada;
    findContours(copiaImagenFiltrada, contornos, jerarquia, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );
    Mat drawing = Mat::zeros( copiaImagenFiltrada.size(), CV_8UC3 );
    int area = 0;
    for( int i = 0; i< (int)contornos.size(); i++ )
         {
           Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
           drawContours( drawing, contornos, i, color, 2, 8, jerarquia, 0, Point() );
            area = contourArea(contornos[i]);
            qDebug() << "Area " << i << " : " << area;
            }


    QImage qImage = Mat2QImage(drawing);
    QPixmap pixmap = QPixmap::fromImage(qImage);
    ui->labelContornos->clear();
    ui->labelContornos->setPixmap(pixmap);


    qImage = Mat2QImage(ImagenFiltrada);
    pixmap = QPixmap::fromImage(qImage);
    ui->labelInrange->clear();
    ui->labelInrange->setPixmap(pixmap);


    }
}