private void blobToolStripMenuItem_Click(object sender, EventArgs e)
{
ExtractBiggestBlob b = new ExtractBiggestBlob();
Bitmap blob = b.Apply(k);
pictureBox4.Image = blob;
}
private void blobToolStripMenuItem_Click(object sender, EventArgs e)
{
ExtractBiggestBlob filter = new ExtractBiggestBlob();
// apply the filter
biggestBlobsImage = filter.Apply(k);
pictureBox4.Image = biggestBlobsImage;
IntPoint blobPosition = filter.BlobPosition;
Console.WriteLine(blobPosition.X);
Console.WriteLine(blobPosition.Y);
Console.WriteLine(biggestBlobsImage.Width);
Console.WriteLine(biggestBlobsImage.Height);
fd = new Bitmap(biggestBlobsImage);
int i, j;
for (i = 0; i < (biggestBlobsImage.Width); i++)
{
for (j = 0; j < (biggestBlobsImage.Height); j++)
{
Color hg = (resultImage.GetPixel(i + blobPosition.X, j + blobPosition.Y));
int r = fd.GetPixel(i, j).R;
int g = fd.GetPixel(i, j).G;
int b = fd.GetPixel(i, j).B;
if ((r = g = b) == 255)
{
fd.SetPixel(i, j, hg);
}
else
{
fd.SetPixel(i, j, Color.Black);
}
}
}
}
/// <summary>
/// CLASS MENENTUKAN OBJEK TERBESAR
/// </summary>
void extractbiggestkmeans()
{
Bitmap gambar = (Bitmap)pictureBox5.Image.Clone();
ExtractBiggestBlob filter = new ExtractBiggestBlob();
pictureBox3.Image = filter.Apply(gambar);
}
public Bitmap ToExtractBiggestBlob(Bitmap Im)
{
AForge.Imaging.Filters.ExtractBiggestBlob Img = new ExtractBiggestBlob();
Bitmap bmImage = AForge.Imaging.Image.Clone(new Bitmap(Im), PixelFormat.Format24bppRgb);
return(Img.Apply(bmImage));
}
/// <summary>
/// CLASS MENENTUKAN OBJEK TERBESAR DARI OBJEK ASLI
/// </summary>
void extractbiggest()
{
Bitmap gambar = (Bitmap)pictureBox10.Image.Clone();
ExtractBiggestBlob filter = new ExtractBiggestBlob();
Bitmap img = new Bitmap(gambar);
Bitmap imageext = filter.Apply(img);
pictureBox9.BackColor = Color.Empty;
pictureBox9.Image = imageext;
pictureBox9.Image.Save(@"E:\Gambar\Gambar_ExctractBiggest" + "\\" + jumlahdt.ToString() + ".bmp");
}
public static Bitmap ExtractBiggestBlob(this Bitmap image1, ref Rectangle rec)
{
lock (typeof(Lock_ExtractBiggestBlob))
{
FiltersSequence commonSeq = new FiltersSequence();
commonSeq.Add(Grayscale.CommonAlgorithms.BT709);
commonSeq.Add(new BradleyLocalThresholding());
commonSeq.Add(new DifferenceEdgeDetector());
using (Bitmap temp = commonSeq.Apply(image1))
{
ExtractBiggestBlob extractor = new ExtractBiggestBlob();
var img = extractor.Apply(temp);
rec = new Rectangle(extractor.BlobPosition.X, extractor.BlobPosition.Y, img.Width, img.Height);
return(img);
}
}
}
