public void FindImage()
{
rectangles = new List <Rectangle>();
using (Image <Bgr, byte> imgSrc = BaseImage.Copy())
{
while (true)
{
using (Image <Gray, float> result = imgSrc.MatchTemplate(SubImage, TemplateMatchingType.CcoeffNormed))
{
double[] minValues, maxValues;
Point[] minLocations, maxLocations;
result.MinMax(out minValues, out maxValues, out minLocations, out maxLocations);
if (maxValues[0] > Threashold)
{
Rectangle match = new Rectangle(maxLocations[0], SubImage.Size);
imgSrc.Draw(match, new Bgr(Color.Blue), -1);
rectangles.Add(match);
}
else
{
break;
}
}
}
}
}
public void DrawRectanglesOnImage()
{
ResultImage = BaseImage.Copy();
foreach (var rectangle in this.rectangles)
{
ResultImage.Draw(rectangle, new Bgr(Color.Blue), 1);
}
}
public void MarkLocationsOnImage()
{
ResultImage = BaseImage.Copy();
foreach (var pt in Points)
{
ResultImage.Draw(new Cross2DF(pt, 10, 10), new Bgr(Color.Red), 2);
}
}
public void FindImage()
{
stopwatch = new Stopwatch();
stopwatch.Start();
var imgSrc = BaseImage.Copy();
// FindImage all occurences of imgFind
while (true)
{
using (Image <Gray, float> result = imgSrc.MatchTemplate(SubImage, TM_TYPE.CV_TM_CCOEFF_NORMED)) {
double[] minValues, maxValues;
Point[] minLocations, maxLocations;
result.MinMax(out minValues, out maxValues, out minLocations, out maxLocations);
// You can try different values of the threshold. I guess somewhere between 0.75 and 0.95 would be good.
if (maxValues[0] > Threashold)
{
// This is a match. Do something with it, for example draw a rectangle around it.
Rectangle match = new Rectangle(maxLocations[0], SubImage.Size);
Points.Add(new Point(maxLocations[0].X + SubImage.Size.Width / 2,
maxLocations[0].Y + SubImage.Size.Height / 2));
// Fill the drawing with red in order to ellimate this as a source.
imgSrc.Draw(match, new Bgr(Color.Red), -1);
// Add the found rectangle to the results.
rectangles.Add(match);
}
else
{
break;
}
}
}
imgSrc.Dispose();
stopwatch.Stop();
}
