public void ProcessFilter(TifFileInfo fi, int channel, float tolerance, int thresholdValue, DistanceTransformMethod distance)
{
//Apply in the history
if (fi.newFilterHistory == null || fi.newFilterHistory.Length != fi.sizeC)
{
fi.isBinary = new bool[fi.sizeC];
fi.newFilterHistory = new List <string> [fi.sizeC];
for (int i = 0; i < fi.sizeC; i++)
{
fi.newFilterHistory[i] = new List <string>();
fi.isBinary[i] = false;
}
}
fi.isBinary[fi.cValue] = true;
Filters.MyConvolution.CheckIsImagePrepared(fi);
int[] indexes = new int[fi.imageCount / fi.sizeC];
for (int i = channel, position = 0; i < fi.imageCount; i += fi.sizeC, position++)
{
indexes[position] = i;
}
foreach (int frame in indexes)
{
UnmanagedImage input = CreateImage(frame, fi, thresholdValue);
BinaryWatershed bw = new BinaryWatershed(tolerance, distance);
input = bw.Apply(input);
ReturnCTImage(frame, fi, input);
}
}
public override Task extractContourns()
{
return(Task.Run(delegate(){
this.rgb = this.rgb.Resize(this.preferredSize.Width, this.preferredSize.Height, Emgu.CV.CvEnum.Inter.Linear, true);
this.mask = this.mask.Resize(this.preferredSize.Width, this.preferredSize.Height, Emgu.CV.CvEnum.Inter.Linear, true);
Bitmap maskAsBitmap = mask.ToBitmap();
Bitmap rgbAsBitmap = new Bitmap(this.rgb.ToBitmap());
var dt = new BinaryWatershed(0.5f, DistanceTransformMethod.Euclidean);
Bitmap output = dt.Apply(maskAsBitmap);
BlobCounter bc = new BlobCounter();
bc.ObjectsOrder = ObjectsOrder.Area;
bc.ProcessImage(output);
Blob[] blobs = bc.GetObjectsInformation();
foreach (Blob blob in blobs)
{
if (blob.Area > 100)
{
List <Accord.IntPoint> border = bc.GetBlobsEdgePoints(blob);
Point[] borderPoints = border.Select(pt => new Point(pt.X, pt.Y)).ToArray();
bc.ExtractBlobsImage(rgbAsBitmap, blob, false);
//this.rgb.Draw(new Cross2DF(new PointF(blob.CenterOfGravity.X, blob.CenterOfGravity.Y), 15, 15), new Bgr(0, 255, 0), 3);
this.pollenGrains.Add(new PollenGrain(blob));
}
}
}));
}
public void ApplyTest1()
{
string basePath = Path.Combine(NUnit.Framework.TestContext.CurrentContext.TestDirectory, "watershed");
Directory.CreateDirectory(basePath);
Bitmap shapes = Accord.Imaging.Image.Clone(Resources.water);
shapes.Save(Path.Combine(basePath, "shapes.jpg"));
var bw = new BinaryWatershed();
Bitmap result = bw.Apply(shapes);
Assert.AreEqual(746, result.Width);
Assert.AreEqual(643, result.Height);
Assert.AreEqual(PixelFormat.Format8bppIndexed, result.PixelFormat);
Assert.AreEqual(9, bw.MaxPoints.Count);
string strX = bw.MaxPoints.Select(i => i.X).ToArray().ToCSharp();
string strY = bw.MaxPoints.Select(i => i.Y).ToArray().ToCSharp();
double[] x = new double[] { 310, 546, 136, 254, 429, 612, 398, 345, 498 };
double[] y = new double[] { 436, 153, 392, 201, 336, 339, 242, 183, 319 };
Assert.AreEqual(x, bw.MaxPoints.Select(i => i.X).ToArray());
Assert.AreEqual(y, bw.MaxPoints.Select(i => i.Y).ToArray());
result.Save(Path.Combine(basePath, "watershed.jpg"));
GrayscaleToRGB toRGB = new GrayscaleToRGB();
result = toRGB.Apply(result);
PointsMarker marker = new PointsMarker(Color.Red, 5);
marker.Points = bw.MaxPoints;
Bitmap marked = marker.Apply(result);
marked.Save(Path.Combine(basePath, "watershed-marks.jpg"));
Assert.IsNotNull(result);
Assert.IsNotNull(marked);
}
private void watershedToolStripMenuItem_Click(object sender, EventArgs e)
{
BinaryWatershed filter = new BinaryWatershed();
Image = filter.Apply(Image);
}
