private void button7_Click(object sender, EventArgs e)
{
circleTransform.ProcessImage(grayBmp);
Bitmap houghCircleTransform = circleTransform.ToBitmap();
process.Image = houghCircleTransform;
}
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 static void FindCircles(UnmanagedImage binarySource)
{
// apply Hough circle transform
circleTransform.ProcessImage(binarySource);
// get circles using relative intensity
HoughCircle[] circles = circleTransform.GetCirclesByRelativeIntensity(0.5);
foreach (HoughCircle circle in circles)
{
string s = string.Format("X = {0}, Y = {1}, I = {2} ({3})", circle.X, circle.Y, circle.Intensity, circle.RelativeIntensity);
System.Diagnostics.Debug.WriteLine(s);
}
System.Diagnostics.Debug.WriteLine("Found circles: " + circleTransform.CirclesCount);
System.Diagnostics.Debug.WriteLine("Max intensity: " + circleTransform.MaxIntensity);
}
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;
}
// Open image file
private void openToolStripMenuItem_Click(object sender, EventArgs e)
{
try
{
// show file open dialog
if (openFileDialog.ShowDialog() == DialogResult.OK)
{
// load image
var tempImage = (Bitmap)Bitmap.FromFile(openFileDialog.FileName);
var image = AForge.Imaging.Image.Clone(tempImage, PixelFormat.Format24bppRgb);
tempImage.Dispose();
// format image
AForge.Imaging.Image.FormatImage(ref image);
// lock the source image
var sourceData = image.LockBits(
new Rectangle(0, 0, image.Width, image.Height),
ImageLockMode.ReadOnly, image.PixelFormat);
// binarize the image
var binarySource = filter.Apply(new UnmanagedImage(sourceData));
// apply Hough line transofrm
lineTransform.ProcessImage(binarySource);
// get lines using relative intensity
var lines = lineTransform.GetLinesByRelativeIntensity(0.2);
foreach (var line in lines)
{
var s = string.Format("Theta = {0}, R = {1}, I = {2} ({3})", line.Theta, line.Radius, line.Intensity, line.RelativeIntensity);
System.Diagnostics.Debug.WriteLine(s);
// uncomment to highlight detected lines
/*
* // get line's radius and theta values
* int r = line.Radius;
* double t = line.Theta;
*
* // check if line is in lower part of the image
* if ( r < 0 )
* {
* t += 180;
* r = -r;
* }
*
* // convert degrees to radians
* t = ( t / 180 ) * System.Math.PI;
*
* // get image centers (all coordinate are measured relative
* // to center)
* int w2 = image.Width /2;
* int h2 = image.Height / 2;
*
* double x0 = 0, x1 = 0, y0 = 0, y1 = 0;
*
* if ( line.Theta != 0 )
* {
* // none vertical line
* x0 = -w2; // most left point
* x1 = w2; // most right point
*
* // calculate corresponding y values
* y0 = ( -Math.Cos( t ) * x0 + r ) / System.Math.Sin( t );
* y1 = ( -Math.Cos( t ) * x1 + r ) / System.Math.Sin( t );
* }
* else
* {
* // vertical line
* x0 = line.Radius;
* x1 = line.Radius;
*
* y0 = h2;
* y1 = -h2;
* }
*
* // draw line on the image
* Drawing.Line( sourceData,
* new IntPoint( (int) x0 + w2, h2 - (int) y0 ),
* new IntPoint( (int) x1 + w2, h2 - (int) y1 ),
* Color.Red ); */
}
System.Diagnostics.Debug.WriteLine("Found lines: " + lineTransform.LinesCount);
System.Diagnostics.Debug.WriteLine("Max intensity: " + lineTransform.MaxIntensity);
// apply Hough circle transform
circleTransform.ProcessImage(binarySource);
// get circles using relative intensity
var circles = circleTransform.GetCirclesByRelativeIntensity(0.5);
foreach (var circle in circles)
{
var s = string.Format("X = {0}, Y = {1}, I = {2} ({3})", circle.X, circle.Y, circle.Intensity, circle.RelativeIntensity);
System.Diagnostics.Debug.WriteLine(s);
}
System.Diagnostics.Debug.WriteLine("Found circles: " + circleTransform.CirclesCount);
System.Diagnostics.Debug.WriteLine("Max intensity: " + circleTransform.MaxIntensity);
// unlock source image
image.UnlockBits(sourceData);
// dispose temporary binary source image
binarySource.Dispose();
// show images
sourcePictureBox.Image = image;
houghLinePictureBox.Image = lineTransform.ToBitmap();
houghCirclePictureBox.Image = circleTransform.ToBitmap();
}
}
catch
{
MessageBox.Show("Failed loading the image", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
}