public void Apply()
{
string output_dir = @"C:\Users\yaoyichi\Desktop\";
string inputPath = output_dir + "1.png";
Log.SetLogDir(output_dir);
Log.SetOutputDir(output_dir);
HoughCircleTransformation circleTransform = new HoughCircleTransformation(35);
// apply Hough circle transform
Bitmap srcimg = new Bitmap(inputPath);
AForge.Imaging.Filters.BradleyLocalThresholding bradley = new AForge.Imaging.Filters.BradleyLocalThresholding();
Image <Gray, Byte> img = new Image <Gray, Byte>(inputPath);
Bitmap dstimg = bradley.Apply(img.Bitmap);
circleTransform.ProcessImage(dstimg);
Bitmap houghCirlceImage = circleTransform.ToBitmap();
// get circles using relative intensity
HoughCircle[] circles = circleTransform.GetCirclesByRelativeIntensity(0.2);
Graphics g = Graphics.FromImage(ImageUtils.AnyToFormat24bppRgb(srcimg));
foreach (HoughCircle circle in circles)
{
//circle.RelativeIntensity
g.DrawEllipse(new Pen(Color.Red), circle.X, circle.Y, circle.Radius, circle.Radius);
}
g.Dispose();
srcimg.Save(output_dir + "1_.png");
}
private void houghCircle(Bitmap basicSaus)
{
Bitmap saus = ConvertToFormat(basicSaus);
HoughCircleTransformation circleTransform = new HoughCircleTransformation(35);
// apply Hough circle transform
circleTransform.ProcessImage(saus);
Bitmap houghCirlceImage = circleTransform.ToBitmap();
// get circles using relative intensity
HoughCircle[] circles = circleTransform.GetCirclesByRelativeIntensity(0.1);
foreach (HoughCircle circle in circles)
{
Console.WriteLine(JsonConvert.SerializeObject(circle, Formatting.Indented));
}
pictureBox2.Image = houghCirlceImage;
}
public void HughCircleTransform()
{
Grayscale filterGrayscale = new Grayscale(0.2125, 0.7154, 0.0721);
ImageBitmap8pp = filterGrayscale.Apply(ImageBitmap);
Blur filterBlur = new Blur();
filterBlur.ApplyInPlace(ImageBitmap8pp);
//ContrastStretch filterContrast = new ContrastStretch();
//filterContrast.ApplyInPlace(ImageBitmap8pp);
ImageBitmap8pp.Save("test0.bmp");
CannyEdgeDetector filter = new CannyEdgeDetector();
filter.ApplyInPlace(ImageBitmap8pp);
HoughCircleTransformation circleTransform = new HoughCircleTransformation(35);
circleTransform.LocalPeakRadius = 300;
circleTransform.ProcessImage(ImageBitmap8pp);
Bitmap houghCirlceImage = circleTransform.ToBitmap();
HoughCircle[] circles = circleTransform.GetCirclesByRelativeIntensity(0.6);
foreach (HoughCircle circle in circles)
{
Pen redPen = new Pen(System.Drawing.Color.Red, 3);
using (var graphics = Graphics.FromImage(ImageBitmap))
{
graphics.DrawEllipse(redPen, circle.X - circle.Radius, circle.Y - circle.Radius, circle.Radius * 2, circle.Radius * 2);
}
}
ImageBitmap8pp.Save("test1.bmp");
houghCirlceImage.Save("test2.bmp");
ImageBitmap.Save("test3.bmp");
}
private void button4_Click(object sender, EventArgs e)
{
Bitmap sourceImage = (Bitmap)pictureBox1.Image;
HoughCircleTransformation circleTransform = new HoughCircleTransformation(35);
// apply Hough circle transform
circleTransform.ProcessImage(ConvertToFormat(sourceImage, PixelFormat.Format8bppIndexed));
Bitmap houghCirlceImage = circleTransform.ToBitmap();
// get circles using relative intensity
HoughCircle[] circles = circleTransform.GetCirclesByRelativeIntensity(0.5);
Graphics g;
MessageBox.Show("Jumlah Lingkaran: " + circles.Length.ToString());
foreach (HoughCircle circle in circles)
{
Pen pen = new Pen(Brushes.Black, 5);
g = Graphics.FromImage(houghCirlceImage);
g.DrawEllipse(pen, circle.X, circle.Y, 5, 5);
g.Dispose();
}
pictureBox2.Image = sourceImage;
}
