private void linkLabel1_LinkClicked(object sender, LinkLabelLinkClickedEventArgs e)
{
List <Spot> spots = detector.DetectBlobs();
for (int i = 0; i < spots.Count; i++)
{
spots[i].Image.Save($"D:\\Blobs\\{i}.png", ImageFormat.Png);
}
}
public BlobDetailsForm(BlobDetector detector)
{
InitializeComponent();
this.detector = detector;
blobsDGV.RowTemplate.Height = 50;
foreach (Spot spot in detector.DetectBlobs())
{
Bitmap image = spot.Image;
blobsDGV.Rows.Add(image, spot.PixelArea);
blobsDGV.Rows[blobsDGV.RowCount - 1].Cells[0].Style.BackColor = Color.Black;
}
blobsDGV.AutoSizeColumnsMode = DataGridViewAutoSizeColumnsMode.Fill;
}
public bool DetectPupil(Image <Gray, byte> inputImage, TrackData trackData)
{
foundPupil = false;
var initialLocation = new GTPoint(inputImage.Width / 2, inputImage.Height / 2);
if (eye == EyeEnum.Left)
{
PupilGrayLevel = Settings.Instance.Processing.PupilThresholdLeft;
}
else
{
PupilGrayLevel = Settings.Instance.Processing.PupilThresholdRight;
}
MinPupilSize = Settings.Instance.Processing.PupilSizeMinimum;
MaxPupilSize = Settings.Instance.Processing.PupilSizeMaximum;
var min = (int)Math.Round(Math.PI * Math.Pow(MinPupilSize, 2));
var max = (int)Math.Round(Math.PI * Math.Pow(MaxPupilSize, 2));
Blobs blobs = blobDetector.DetectBlobs(inputImage, PupilGrayLevel, min, max, false);
#region Autotuning data store
if (eye == EyeEnum.Left)
{
trackData.UnfilteredBlobCountLeft = blobs.Count;
trackData.UnfilteredTotalBlobAreaLeft = blobs.TotalArea;
}
else
{
trackData.UnfilteredBlobCountRight = blobs.Count;
trackData.UnfilteredTotalBlobAreaRight = blobs.TotalArea;
}
#endregion
//if (blobDetector.IsFiltering == false)
// blobs.FilterByArea(10, (int)blobs.TotalArea);
//Console.WriteLine("Average fullness: {0}", blobs.AverageFullness);
blobs.EliminateExteriorBlobs();
if (blobDetector.IsFiltering == false)
{
blobs.FilterByArea(min, max);
}
if (blobs.Count > 1)
{
blobs.FilterByDistance(initialLocation);
}
// New, filter by fullness
//blobs.FilterByFullness(0.40);
if (blobs.Count > 0)
{
//blobDetector.blobCounter.ExtractBlobsImage(inputImage.ToBitmap(), blobs.BlobDir.ElementAt(0).Value, false);
pupilData.Blob = blobs.BlobDir.ElementAt(0).Value;
if (pupilData.Blob != null)
{
foundPupil = true;
pupilData.Center = new GTPoint(pupilData.Blob.CenterOfGravity.X, pupilData.Blob.CenterOfGravity.Y);
// We save the values of the gray level in the corners of rectangle around the pupil blob (which are on the iris)
// Javier, the array on EmguGray is [y,x] not [x,y]
int x = pupilData.Blob.Rectangle.X;
int y = pupilData.Blob.Rectangle.Y;
int w = pupilData.Blob.Rectangle.Width;
int h = pupilData.Blob.Rectangle.Height;
pupilData.GrayCorners[0] = (int)inputImage[y, x].Intensity;
pupilData.GrayCorners[1] = (int)inputImage[y, x + w - 1].Intensity;
pupilData.GrayCorners[2] = (int)inputImage[y + h - 1, x].Intensity;
pupilData.GrayCorners[3] = (int)inputImage[y + h - 1, x + w - 1].Intensity;
}
}
else
{
foundPupil = false;
}
return(foundPupil);
}