private void button1_Click(object sender, EventArgs e)
{
//pierwszy czarnobialy obrazek
String photoString = "";
//String photoPath = @"C:\Users\Michał\Downloads\" + photoString + ".jpg";
String photoPath = null;
///margines aby wykluczyc pozostale znalezione punkty
float selectionMargin = 0.25f;
List<Point> points = new List<Point>();
int minArea = 1000;
float maxSize = 0f;
if (openFileDialog1.ShowDialog() == DialogResult.OK)
{
photoPath = openFileDialog1.InitialDirectory + openFileDialog1.FileName;
}
Bitmap photo = new Bitmap(photoPath);
using (Image<Gray, Byte> img = new Image<Gray, byte>(photo))
{
MSERDetector mserDetector = new MSERDetector(5, 1440000, minArea, 0.25f, 0.2f, 200, 1.01, 0.00003, 10);
Image<Gray, Byte> img2 = img.SmoothBlur(30, 30, true);
MKeyPoint[] keyPoints = mserDetector.DetectKeyPoints(img, null);
foreach (MKeyPoint p in keyPoints)
{
if (((p.Point.X / img.Width > selectionMargin) && (p.Point.X / img.Width < 1 - selectionMargin))
&& ((p.Point.Y / img.Height > selectionMargin) && (p.Point.Y / img.Height < 1 - selectionMargin)))
{
points.Add(new Point((int)(p.Point.X), (int)(p.Point.Y)));
if (p.Size > maxSize)
maxSize = p.Size;
}
}
float sumX = 0f, sumY = 0f;
foreach (Point p in points)
{
sumX += p.X; sumY += p.Y;
}
img.Draw(new CircleF(new PointF(sumX / points.Count, sumY / points.Count), 8), new Gray(), 10);
//img.DrawPolyline(points.ToArray(), true, new Gray(), 4);
textBox1.Clear();
textBox1.AppendText((sumX / points.Count).ToString() + ":" + (sumY / points.Count).ToString() + ":" + (maxSize/2).ToString());
//imgWhite.Draw(points, new Gray(0), 10);
//Show the image using ImageViewer from Emgu.CV.UI
pictureBox2.Image = img.ToBitmap();
img.Save(@"C:\Users\Michał\Downloads\nowy.jpg");
}
}
private extern static void CvMSERKeyPoints(
IntPtr image,
IntPtr mask,
IntPtr keypoints,
ref MSERDetector mser);
/// <summary>
/// Extracts the contours of Maximally Stable Extremal Regions
/// </summary>
/// <param name="image">The image where mser will be extracted from</param>
/// <param name="mask">Can be null if not needed. Optional parameter for the region of interest</param>
/// <param name="param">MSER parameter</param>
/// <param name="storage">The storage where the contour will be saved</param>
/// <returns>The MSER regions</returns>
public Seq<Point>[] ExtractContours(IImage image, Image<Gray, Byte> mask, ref MSERDetector param, MemStorage storage)
{
IntPtr mserPtr = new IntPtr();
CvInvoke.cvExtractMSER(image.Ptr, mask, ref mserPtr, storage, param);
IntPtr[] mserSeq = new Seq<IntPtr>(mserPtr, storage).ToArray();
return Array.ConvertAll<IntPtr, Seq<Point>>(mserSeq, delegate(IntPtr ptr) { return new Seq<Point>(ptr, storage); });
}
public static extern void cvExtractMSER(
IntPtr img,
IntPtr mask,
ref IntPtr contours,
IntPtr storage,
MSERDetector parameters);
public void Process()
{
///margines aby wykluczyc pozostale znalezione punkty
float selectionMargin = 0.25f;
List<Point> points = new List<Point>();
int minArea = 1000;
float maxSize = 0f;
float resultX = 0f;
float resultY = 0f;
float resultR = 0f;
float sumX = 0f, sumY = 0f;
foreach (Bitmap bitmap in bitmaps)
{
points.Clear();
resultX = 0f;
resultY = 0f;
resultR = 0f;
sumX = 0f;
sumY = 0f;
using (Image<Gray, Byte> img = new Image<Gray, byte>(bitmap))
{
MSERDetector mserDetector = new MSERDetector(5, 1440000, minArea, 0.25f, 0.2f, 200, 1.01, 0.00003, 10);
Image<Gray, Byte> img2 = img.SmoothBlur(30, 30, true);
MKeyPoint[] keyPoints = mserDetector.DetectKeyPoints(img, null);
foreach (MKeyPoint p in keyPoints)
{
if (((p.Point.X / img.Width > selectionMargin) && (p.Point.X / img.Width < 1 - selectionMargin))
&& ((p.Point.Y / img.Height > selectionMargin) && (p.Point.Y / img.Height < 1 - selectionMargin)))
{
points.Add(new Point((int)(p.Point.X), (int)(p.Point.Y)));
if (p.Size > maxSize)
maxSize = p.Size;
}
}
foreach (Point p in points)
{
sumX += p.X; sumY += p.Y;
}
resultX = sumX / points.Count;
resultY = sumY / points.Count;
resultR = maxSize / 2;
results.Add(new Result(resultX, resultY, resultR));
}
}
}
public void TestMSER()
{
MSERDetector keyPointDetector = new MSERDetector();
SIFT descriptorGenerator = new SIFT();
//ParamDef[] parameters = keyPointDetector.GetParams();
TestFeature2DTracker(keyPointDetector, descriptorGenerator);
}
private extern static void CvMSERKeyPoints(
IntPtr image,
IntPtr mask,
IntPtr keypoints,
ref MSERDetector mser);
/// <summary>
/// Extracts the contours of Maximally Stable Extremal Regions
/// </summary>
/// <param name="image">The image where mser will be extracted from</param>
/// <param name="mask">Can be null if not needed. Optional parameter for the region of interest</param>
/// <param name="param">MSER parameter</param>
/// <param name="storage">The storage where the contour will be saved</param>
/// <returns>The MSER regions</returns>
public Seq <Point>[] ExtractContours(IImage image, Image <Gray, Byte> mask, ref MSERDetector param, MemStorage storage)
{
IntPtr mserPtr = new IntPtr();
CvInvoke.cvExtractMSER(image.Ptr, mask, ref mserPtr, storage, param);
IntPtr[] mserSeq = new Seq <IntPtr>(mserPtr, storage).ToArray();
return(Array.ConvertAll <IntPtr, Seq <Point> >(mserSeq, delegate(IntPtr ptr) { return new Seq <Point>(ptr, storage); }));
}
