public MKeyPoint[] Maspointer(Image <Bgr, byte> image, int mode)
{
switch (mode)
{
case 0:
{
GFTTDetector detector = new GFTTDetector(40, 0.01, 5, 3, true);
MKeyPoint[] GFP1 = detector.Detect(image.Convert <Gray, byte>().Mat);
return(GFP1);
}
case 1:
{
Brisk detector = new Brisk();
MKeyPoint[] GFP1 = detector.Detect(image.Convert <Gray, byte>().Mat);
return(GFP1);
}
case 2:
{
FastFeatureDetector detector = new FastFeatureDetector();
MKeyPoint[] GFP1 = detector.Detect(image.Convert <Gray, byte>().Mat);
return(GFP1);
}
}
return(null);
}
private void ApplyFASTFeatureDetector(int threshold = 10)
{
try
{
if (imgList["Input"] == null)
{
return;
}
var img = imgList["Input"].Clone();
var gray = img.Convert <Gray, byte>();
FastFeatureDetector detector = new FastFeatureDetector(threshold);
var corners = detector.Detect(gray);
dt.Rows.Clear();
lab_notes.Text = "Number of corners: " + corners.Length.ToString();
foreach (MKeyPoint pt in corners)
{
dt.Rows.Add(pt.ClassId,
pt.Point.ToString(),
pt.Angle,
pt.Size,
pt.Octave,
pt.Response
);
}
Mat outimg = new Mat();
Features2DToolbox.DrawKeypoints(img, new VectorOfKeyPoint(corners), outimg, new Bgr(0, 0, 255));
imageBoxEx1.Image = outimg.ToBitmap();
dataGridView1.DataSource = dt;
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
}
