I am willing to pay around 50€ via Paypal if you help me in the inicial code to make a project. I am new in EMGU and it's very hard for me to start.
Squares:
https://gyazo.com/f48b1a95aafedde2704c458415d58de1
I need to process squares like this images and determine which one is which (maybe comparing to a known database or if square has color blue,yellow,red than it's square 1).
I am already trying to solve this problem.
This s my Application:
https://gyazo.com/5e22e9a489d42266f55c187a7fe59a0e
[code] frame11.SmoothMedian(3); //Filtro mediana antes da passagem para HSV
frame11_processado_hsv = frame11.Convert(); //Converte a imagem da camera RGB para HSV
frame11_processado = frame11_processado_hsv.InRange(new Hsv(hl.Value, sl.Value, vl.Value), new Hsv(hh.Value, sh.Value, vh.Value)); //utiliza as trackbars HSV para ver a cor pretendida
frame11_processado.SmoothGaussian(11); //Filtro gaussiano na imagem binaria
#region Extracting the Contours
using (MemStorage storage = new MemStorage()) //aloca espaço na memoria
{
for (Contour contours = frame11_processado.FindContours(Emgu.CV.CvEnum.CHAIN_APPROX_METHOD.CV_CHAIN_APPROX_SIMPLE, Emgu.CV.CvEnum.RETR_TYPE.CV_RETR_LIST, storage); contours != null; contours = contours.HNext)
{
Contour currentContour = contours.ApproxPoly(contours.Perimeter * 0.015, storage);
if (currentContour.Area > area_contornos.Value)
{
if (currentContour.Total == 4)
{
CvInvoke.cvDrawContours(frame11, contours, new MCvScalar(255), new MCvScalar(255), -1, 3, Emgu.CV.CvEnum.LINE_TYPE.EIGHT_CONNECTED, new Point(0, 0));
frame11.Draw(currentContour.BoundingRectangle, new Bgr(0, 0, 255), 3);
Point[] pontos = currentContour.ToArray();
foreach (Point p in pontos)
{
listbox_contornos.Items.Add(p);
}
}
}
}
}
#endregion[/code]
But if you look the image is very noisy. I will never be able to detect only the squares like this. Maybe I need to improve code? Maybe I need to change the Squares (I can make like bigger outlines or something?Can you share ideas to solve this problem? Like i said i am willing to donate via pyapal (or something else) if you help me. Consider it as a Xmas gift ^^
↧