private void run()
{
Image<Bgr, Byte> image = new Image<Bgr, byte>("lena.jpg"); //Read the files as an 8-bit Bgr image
Capture vid = new Capture("kw.avi");
vid.FlipVertical = true;
int x = 0;
TimeSpan time = TimeSpan.Zero;
MCvFont font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_COMPLEX, 1.0, 1.0);
using (VideoWriter vw = new VideoWriter("out3.avi", 15, 640, 480, true))
{
while (vid.Grab())
{
//if (++x % 1 != 0) continue;
image = vid.RetrieveBgrFrame();
long detectionTime;
List<Rectangle> faces = new List<Rectangle>();
List<Rectangle> eyes = new List<Rectangle>();
DetectFace.Detect(image, "haarcascade_frontalface_default.xml", "supersmile.xml", faces, eyes, out detectionTime);
foreach (Rectangle face in faces)
image.Draw(face, new Bgr(Color.Red), 2);
foreach (Rectangle eye in eyes)
image.Draw(eye, new Bgr(Color.Blue), 2);
if (eyes.Count > 0) time = time.Add(new TimeSpan(0, 0, 0, 0, 66));
//display the image
image.Draw(String.Format("{0}:{1}", time.Seconds, time.Milliseconds), ref font, new Point(50, 50), new Bgr(0, 0, 255));
setimage(image);
vw.WriteFrame<Bgr, Byte>(image);
}
}
}
public FormManualTrain(Form1 frm1)
{
InitializeComponent();
browseImage = new OpenFileDialog();
_form1 = frm1;
eigenRecog = new Classifier_Train();
face = new HaarCascade("haarcascade_frontalface_default.xml");
eyeWithGlass = new CascadeClassifier("haarcascade_eye_tree_eyeglasses.xml");
mydb = new DBConn();
minEye = new Size(10, 10);
maxEye = new Size(225, 225);
font = new MCvFont(FONT.CV_FONT_HERSHEY_TRIPLEX, 0.5d, 0.5d);
if (File.ReadAllText("setting.txt") != null)
{
folderPath = File.ReadAllText("setting.txt");
}
else
{
FolderBrowserDialog b = new FolderBrowserDialog();
b.Description = "Please select your installation path";
DialogResult r = b.ShowDialog();
if (r == DialogResult.OK) // Test result.
{
folderPath = b.SelectedPath;
Console.WriteLine(folderPath);
File.WriteAllText(@"setting.txt", folderPath);
MessageBox.Show("Path is at " + folderPath);
}
}
}
public virtual void ProcessImage(Emgu.CV.Image<Emgu.CV.Structure.Bgr, byte> image) {
Emgu.CV.Image<Gray, byte> gray = image.Convert<Gray, byte>();
gray._ThresholdBinary(new Gray(_threshold), new Gray(255.0));
gray._Not();
Parsley.Core.EllipseDetector ed = new Parsley.Core.EllipseDetector();
ed.MinimumContourCount = _min_contour_count;
List < Parsley.Core.DetectedEllipse > ellipses =
new List<Parsley.Core.DetectedEllipse>(ed.DetectEllipses(gray));
List < Parsley.Core.DetectedEllipse > finals =
new List<Parsley.Core.DetectedEllipse>(
ellipses.Where(e => { return e.Rating < _distance_threshold; })
);
finals.Sort(
(a, b) => {
double dista = a.Ellipse.MCvBox2D.center.X * a.Ellipse.MCvBox2D.center.X + a.Ellipse.MCvBox2D.center.Y * a.Ellipse.MCvBox2D.center.Y;
double distb = b.Ellipse.MCvBox2D.center.X * b.Ellipse.MCvBox2D.center.X + b.Ellipse.MCvBox2D.center.Y * b.Ellipse.MCvBox2D.center.Y;
return dista.CompareTo(distb);
}
);
Bgr bgr = new Bgr(0, 255, 0);
MCvFont f = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_PLAIN, 0.8, 0.8);
int count = 1;
foreach (Parsley.Core.DetectedEllipse e in finals) {
image.Draw(e.Ellipse, bgr, 2);
image.Draw(count.ToString(), ref f, new System.Drawing.Point((int)e.Ellipse.MCvBox2D.center.X, (int)e.Ellipse.MCvBox2D.center.Y), bgr);
count++;
}
}
public Image<Bgr, byte> GetBigPicture()
{
MCvFont font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_PLAIN, 1, 1);
font.thickness = 2;
Image<Bgr, byte> newImage = MostRecentImage.Image.Clone();
foreach (Note note in _logic.CurrentNotes.Where(n => n.DetectedInFrames > 1))
{
Point playAreaOffset = new Point(218, 262);
Point trackOffset;
switch (note.TrackColor)
{
case NoteType.Red:
trackOffset = new Point(0, 0);
break;
case NoteType.Yellow:
trackOffset = new Point(66, 0);
break;
case NoteType.Blue:
trackOffset = new Point(134, 0);
break;
case NoteType.Green:
trackOffset = new Point(176, 0);
break;
default:
trackOffset = new Point(0, 0);
break;
}
Rectangle drawRectangle = new Rectangle(playAreaOffset.X + trackOffset.X + note.Rectangle.X,
playAreaOffset.Y + trackOffset.Y + note.Rectangle.Y,
note.Rectangle.Width, note.Rectangle.Height);
Bgr color = new Bgr(0, 0, 0);
switch (note.Color)
{
case NoteType.Red:
color = new Bgr(0, 0, 255);
break;
case NoteType.Yellow:
color = new Bgr(0, 255, 255);
break;
case NoteType.Blue:
color = new Bgr(255, 0, 0);
break;
case NoteType.Green:
color = new Bgr(0, 255, 0);
break;
case NoteType.Orange:
color = new Bgr(255, 255, 255);
break;
}
newImage.Draw(drawRectangle, color, 2);
newImage.Draw(note.FramesUntilHit.ToString("##.##"), ref font,
new Point(drawRectangle.Left, drawRectangle.Bottom), new Bgr(0, 0, 0));
//newImage.Draw("X" + note.PerFrameVelocityX + ";Y" + note.PerFrameVelocityY, ref font,
// new Point(drawRectangle.Left, drawRectangle.Bottom), new Bgr(0,0,0));
//newImage.Draw(((int) note.DistanceToTarget).ToString(), ref font,
// new Point(drawRectangle.Left, drawRectangle.Bottom), new Bgr(128, 128, 128));
}
return newImage;
}
public Form1()
{
InitializeComponent();
Image<Bgr, Byte> f = new Image<Bgr, byte>(300,300);
MCvFont font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_DUPLEX, 2d, 2d);
f.Draw(c.ToString(), ref font, new Point(32, 55), new Bgr(Color.Red));
imageBox1.Image = f;
}
private void image1_Initialized(object sender, EventArgs e)
{
Image<Bgr, Byte> image = new Image<Bgr, byte>(400, 100, new Bgr(255, 255, 255));
MCvFont f = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_PLAIN, 3.0, 3.0);
image.Draw("Hello, world", ref f, new System.Drawing.Point(10, 50), new Bgr(255.0, 0.0, 0.0));
image1.Source = ToBitmapSource(image);
}
public Image<Bgr, Byte> GrabFrame()
{
Image<Bgr, Byte> img = new Image<Bgr, byte>(300, 300, new Bgr(255, 255, 255));
MCvFont f = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_PLAIN, 1.0, 1.0);
String str = DateTime.Now.Ticks.ToString();
img.Draw(str, ref f, new System.Drawing.Point(50, 150), new Bgr(0, 0, 0));
return img;
}
public void DrawMeasurements( int x, int y, double dist, double pfc,
MCvScalar color, Image<Bgr, Byte> src )
{
// Measurement text content, position, and font
string text_size, text_posn, text_pfc, text_dist;
Point point_size, point_posn, point_pfc, point_dist;
MCvFont font = new MCvFont( Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_SIMPLEX, 0.5, 0.5 );
// Fill size string
text_size = "Size (pix): ";
text_size += Convert.ToString( CvInvoke.cvGetSize( src ).Width );
text_size += ", ";
text_size += Convert.ToString( CvInvoke.cvGetSize( src ).Height );
// Start position, pfc, and distance strings
text_posn = "Position (pix): ";
text_pfc = "PFC (pix): ";
text_dist = "Distance (cm): ";
// If the laser point WAS found
if ( ( x > 0 ) && ( y > 0 ) )
{
// Fill position string
text_posn += Convert.ToString( x );
text_posn += ", ";
text_posn += Convert.ToString( y );
// Fill pfc string
text_pfc += Convert.ToString( pfc );
// Fill distance string
text_dist += String.Format( "{0:F1}", dist );
}
// If the laser pointer was NOT found
else
{
// Fill measurement strings with NULL readings
text_posn += "NULL, NULL";
text_pfc += "NULL";
text_dist += "NULL";
}
// Initialize text position
point_size = new Point( 10, 400 );
point_posn = new Point( 10, 420 );
point_pfc = new Point( 10, 440 );
point_dist = new Point( 10, 460 );
// Draw text on image
CvInvoke.cvPutText( src, text_size, point_size, ref font, color );
CvInvoke.cvPutText( src, text_posn, point_posn, ref font, color );
CvInvoke.cvPutText( src, text_pfc, point_pfc, ref font, color );
CvInvoke.cvPutText( src, text_dist, point_dist, ref font, color );
}
private void button2_Click(object sender, EventArgs e)
{
c = 0;
//pictureBox1.Image = Image.FromFile("C:\\Users\\Tarang\\Desktop\\New folder\\image6.png");
Image<Bgr, Byte> f = new Image<Bgr, byte>(300, 300);
MCvFont font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_TRIPLEX, 2d, 2d);
f.Draw(c.ToString(), ref font, new Point(32,55), new Bgr(Color.Red));
imageBox1.Image = f;
progressBar1.Value = 0;
}
/// <summary>
/// Function used to grab a frame
/// (Change this to suite your need, for example, capture an image from the camera and do face detection)
/// </summary>
/// <returns>Grabed image</returns>
public Image<Bgr, Byte> GrapFrame()
{
//Create an image of 300x200 with white background
Image<Bgr, Byte> img = new Image<Bgr, byte>(300, 200, new Bgr(255, 255, 255));
MCvFont f = new MCvFont(FONT.CV_FONT_HERSHEY_PLAIN, 1.0, 1.0);
img.Draw(
DateTime.Now.Ticks.ToString(), //draw the system clock tick
ref f, //using the specific font
new Point(50, 150), //The bottom left posistion of the first character
new Bgr(0, 0, 0)); //The color of the font
return img;
}
static void Main(string[] args)
{
String win1 = "Test Window"; //The name of the window
CvInvoke.cvNamedWindow(win1); //Create the window using the specific name
Image<Bgr, Byte> img = new Image<Bgr, byte>(400, 200, new Bgr(255, 0, 0)); //Create an image of 400x200 of Blue color
MCvFont f = new MCvFont(FONT.CV_FONT_HERSHEY_COMPLEX, 1.0, 1.0); //Create the font
img.Draw("Hello, world", ref f, new System.Drawing.Point(10, 80), new Bgr(0, 255, 0)); //Draw "Hello, world." on the image using the specific font
CvInvoke.cvShowImage(win1, img); //Show the image
CvInvoke.cvWaitKey(0); //Wait for the key pressing event
CvInvoke.cvDestroyWindow(win1); //Destory the window
}
/// <summary>
/// Draw a list of ordered points using circles and numbering.
/// </summary>
/// <param name="image">Image to draw to</param>
/// <param name="points">Points to draw</param>
/// <param name="color">Color to use</param>
public static void OrderedPointList(
Image<Bgr, byte> image,
IEnumerable<PointF> points,
System.Drawing.Color color)
{
Bgr bgr = new Bgr(color);
MCvFont f = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_PLAIN, 0.8, 0.8);
int count = 1;
foreach (PointF point in points) {
image.Draw(new CircleF(point, 4), bgr, 2);
Point p = new Point((int)Math.Round(point.X), (int)Math.Round(point.Y));
image.Draw(count.ToString(), ref f, new System.Drawing.Point(p.X + 5, p.Y - 5), bgr);
count++;
}
}
public Form1()
{
InitializeComponent();
recognizer = new LBPHFaceRecognizer(1, 8, 8, 9, 65);
classifier = new CascadeClassifier(haarcascade);
GPU_classifier = new GpuCascadeClassifier(haarcascade_cuda);
font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_TRIPLEX, 0.5, 0.5);
if (File.Exists(@"traningdata.xml"))
{
recognizer.Load(@"traningdata.xml");
}
else
{
foreach (var file in Directory.GetFiles(Application.StartupPath + @"\Traning Faces\"))
{
try { temp = new Image<Gray, Byte>(file); }
catch { continue; }
temp._EqualizeHist();
var detectedFaces = classifier.DetectMultiScale(temp, 1.1, 15, new Size(24, 24), Size.Empty);
if (detectedFaces.Length == 0)
{
continue;
}
temp.ROI = detectedFaces[0];
temp = temp.Copy();
temp = temp.Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
imagesList.Add(temp);
imagesLabels.Add(Path.GetFileNameWithoutExtension(file));
}
for (int i = 0; i < imagesList.Count; i++)
{
imagesLabels_indices.Add(i);
}
try { recognizer.Train(imagesList.ToArray(), imagesLabels_indices.ToArray()); }
catch (Exception ex)
{
MessageBox.Show(ex.Message);
Environment.Exit(0);
}
}
}
public FormTrain(Form1 frm1)
{
InitializeComponent();
_form1 = frm1;
eigenRecog = new Classifier_Train();
face = new HaarCascade("haarcascade_frontalface_default.xml");
eyeWithGlass = new CascadeClassifier("haarcascade_eye_tree_eyeglasses.xml");
mydb = new DBConn();
minEye = new Size(10, 10);
maxEye = new Size(225, 225);
font = new MCvFont(FONT.CV_FONT_HERSHEY_TRIPLEX, 0.5d, 0.5d);
captureT = new Capture();
Application.Idle += new EventHandler(runningCamera);
}
public void Run()
{
CvInvoke.cvNamedWindow(this._windowName);
//Create an image of 400x200 of Blue color
using (Image<Bgr, Byte> img = new Image<Bgr, byte>(400, 200, new Bgr(255, 0, 0)))
{
//Create the font
MCvFont f = new MCvFont(FONT.CV_FONT_HERSHEY_COMPLEX, 1.0, 1.0);
//Draw "Hello, world." on the image using the specific font
img.Draw("Hello, world", ref f, new Point(10, 80), new Bgr(0, 255, 0));
//Show the image
CvInvoke.cvShowImage(_windowName, img.Ptr);
//Wait for the key pressing event
CvInvoke.cvWaitKey(0);
//Destory the window
CvInvoke.cvDestroyWindow(_windowName);
}
}
private void btnDetect_Click(object sender, EventArgs e)
{
current = new Image<Bgr, byte>(filePath).Resize(300, 250, INTER.CV_INTER_CUBIC);
Image<Gray, byte> grayScale = current.Convert<Gray, byte>();
MCvAvgComp[][] detected = grayScale.DetectHaarCascade(face, scale, minNeighbors, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(20, 20));
foreach (MCvAvgComp d in detected[0])
{
current.Draw(d.rect, new Bgr(Color.LawnGreen), 2);
if (trainingImgs.Count > 0)
{
Image<Gray, byte> dFace = current.Copy(d.rect).Convert<Gray, byte>().Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
MCvTermCriteria criteria = new MCvTermCriteria(trainingImgs.Count, epsilon); //count, epsilon value
EigenObjectRecognizer recognize = new EigenObjectRecognizer(trainingImgs.ToArray(), trainingNames.ToArray(), 0, ref criteria);
MCvFont font = new MCvFont(FONT.CV_FONT_HERSHEY_TRIPLEX, 1, 1);
string name = recognize.Recognize(dFace);
current.Draw(name, ref font, new Point(d.rect.X - 2, d.rect.Y - 20), new Bgr(Color.Red));
}
}
picWebCam.Image = current.ToBitmap();
}
public void AddImagesToDatabase(int count)
{
ISession session = ImageDatabase.GetCurrentSession();
ITransaction tx = session.BeginTransaction();
MCvFont f = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_SIMPLEX, 1.0, 1.0);
long tick = DateTime.Now.Ticks;
for (int i = 0; i < count; i++, tick++)
{
PersistentImage image = new PersistentImage(400, 200);
image.SetRandUniform(new MCvScalar(), new MCvScalar(50, 50, 50));
image.Draw(tick.ToString(), ref f, new Point(10, 100), new Bgr(Color.White));
image.SerializationCompressionRatio = 9;
session.Save(image);
}
tx.Commit();
session.Close();
}
public static void DrawContours(ContourNode node, Image<Bgr, Byte> canvas, System.Drawing.Color color)
{
Bgr _color = new Bgr(System.Drawing.Color.Red);
foreach (ContourNode child in node.Children)
{
canvas.DrawPolyline(child.Contour.ToArray(), true, _color, 1);
if (node.Shape != null)
{
MCvFont font = new MCvFont(FONT.CV_FONT_HERSHEY_PLAIN, 1, 1);
canvas.Draw(child.Shape + child.Color.ToString(),
ref font,
child.Contour[0],
new Bgr(System.Drawing.Color.Red)
);
}
DrawContours(child, canvas, color);
}
}
public static void DrawContours(ContourNode node, Image<Bgr, Byte> canvas)
{
#region color
Random rnd = new Random(node.Contour.Ptr.ToInt32());
Bgr _color = new Bgr(rnd.Next(255), rnd.Next(255), rnd.Next(255));
#endregion
foreach (ContourNode child in node.Children)
{
canvas.DrawPolyline(child.Contour.ToArray(), true, _color, 1);
if (node.Shape != null)
{
MCvFont font = new MCvFont(FONT.CV_FONT_HERSHEY_PLAIN, 1, 1);
canvas.Draw(child.Shape + child.Color.ToString(),
ref font,
child.Contour[0],
new Bgr(System.Drawing.Color.Red)
);
}
DrawContours(child, canvas);
}
}
public void TestAngle(/*LineSegment2D HorizontalMiddleLine*/)
{
Image<Bgr, Byte> imgBackground = new Image<Bgr, byte>("C:\\Users\\kevin\\Downloads\\gridBackground2.jpg");
LineSegment2D line1 = new LineSegment2D(new Point(100, 0), new Point(200, 150));
LineSegment2D line2 = new LineSegment2D(new Point(200, 150), new Point(150, 300));
imgBackground.Draw(line1, new Bgr(Color.Red), 1);
imgBackground.Draw(line2, new Bgr(Color.Blue), 1);
Double angle = 0;
angle = (line1.GetExteriorAngleDegree(line2));//* (180.0 / Math.PI) );
MCvFont f = new MCvFont(FONT.CV_FONT_HERSHEY_COMPLEX, 0.6, 0.6);
imgBackground.Draw(angle.ToString(), ref f, new Point(50, 50), new Bgr(0, 0, 0));
//ibTestAngle.Image = imgBackground;
}
public void ProcesseFrameToFindCircles(Image<Bgr, Byte> pImage, int iterator)
{
#region test_200ppp
//if (pImg != null)
//{
// //Images where to draw of what is processed
// imgProcessedHoughCircle = pImg.Copy();
// imgProcessedHoughCircle2 = pImg.Copy();
// ////
// Image<Bgr, byte> blur = pImg.SmoothBlur(10, 10, true);
// //ibOriginal.Image = blur;
// Image<Bgr, byte> mediansmooth = pImg.SmoothMedian(3);
// //imageBox1.Image = mediansmooth;
// Image<Bgr, byte> bilat = pImg.SmoothBilatral(7, 255, 34);
// //imageBox2.Image = bilat;
// Image<Bgr, byte> gauss = pImg.SmoothGaussian(3, 3, 34.3, 45.3);
// //ibHoughCircles2.Image = gauss;
// ///
// //ranges
// imgProcessed = pImg.InRange(new Bgr(B_MIN, G_MIN, R_MIN),
// new Bgr(B_MAX, G_MAX, R_MAX));
// ibOriginal.Image = imgProcessed;
// //SmoothGuassian process
// imgProcessed = imgProcessed.SmoothGaussian(11);
// ibCanny.Image = imgProcessed;
// /*
// //THRESHOLD_BINARY
// imgProcessed = imgProcessed.ThresholdBinary(new Gray(THRESHOLD_BINARY_MIN), new Gray(THRESHOLD_BINARY_MAX)); //ThresholdBinary
// ibCanny.Image = imgProcessed;
// //Image<Gray,float> imgSobel = imgProcessed.Sobel(1, 0,3);
// //ibHoughCircles2.Image = imgSobel;
// imgProcessed = imgProcessed.SmoothGaussian(9);
// ibHoughCircles.Image = imgProcessed;
// */
// // canny process
// imgProcessedCanny = imgProcessed.Canny(new Gray(THRESH), new Gray(THRESH_LINKING));
// ibHoughCircles.Image = imgProcessedCanny;
// // finding all circles from image
// CircleF[] circles = imgProcessedCanny.HoughCircles(new Gray(CANNY_THRESHOLD),
// new Gray(ACUMMULATOR_THRESHOLD),
// 2,
// //imgProcessed.Height / 4,
// MIN_DIST,
// // de 1 a 4 varia en la cantidad de pixeles a procesar, calidad de la imagen
// MIN_RADIO,
// MAX_RADIO)[0];
// //circles = null;
// if (circles != null)
// {
// txtTotalCircles.Text = circles.Length.ToString();
// for (int i = 0; i < circles.Length; i++)
// {
// CvInvoke.cvCircle(imgProcessedHoughCircle,
// new Point((int)circles[i].Center.X, (int)circles[i].Center.Y),
// 2,
// new MCvScalar(0, 255, 0),
// -1,
// LINE_TYPE.CV_AA,
// 0);
// }
// for (int i = 0; i < circles.Length; i++)
// {
// imgProcessedHoughCircle.Draw(circles[i],
// new Bgr(Color.Red),
// 2);
// // mostrmo lo Id desordemandos del arreglo de circles
// MCvFont f = new MCvFont(FONT.CV_FONT_HERSHEY_COMPLEX, 0.9, 0.9);
// imgProcessedHoughCircle.Draw(i.ToString(), ref f, new Point((int)circles[i].Center.X + 10, (int)circles[i].Center.Y + 6), new Bgr(255, 0, 0));
// }
// ProcesseFrameToFindAnswers(imgProcessedHoughCircle2, circles.ToList());
// //ibHoughCircles.Image = imgProcessedHoughCircle;
// //ibHoughCircles2.Image = imgProcessedHoughCircle2;
// ibHoughCircles2.Image = imgProcessedHoughCircle;
// imageBox1.Image = imgProcessedHoughCircle2;
// }
// //ibOriginal.Image = pImg;
// //ibCanny.Image = imgProcessedCanny;
//}
#endregion
switch (iterator)
{
#region test_200ppp Better_FOTOS 3 NO inverse => first iteration 0
case 0:
#region Official
if (pImage != null)
{
Image<Bgr, Byte> pImg = pImage.Copy();
//Image<Bgr, Byte> pImgN = pImage.Copy();
////ibCanny.Image = pImgN;
////History equalization and gamma corretion
//Image<Bgr, Byte> pImgEH = pImage.Copy();
//pImgEH._EqualizeHist();
//ibHoughCircles.Image = pImgEH;
//Image<Bgr, Byte> pImgG = pImgEH.Copy();
//pImgG._GammaCorrect(2.9d);
//ibHoughCircles2.Image = pImgG;
//ranges
imgProcessed = pImg.InRange(new Bgr(B_MIN, G_MIN, R_MIN),
new Bgr(B_MAX, G_MAX, R_MAX));
//Image <Gray, Byte> gi = pImgG.Convert<Gray, Byte>();
//imgProcessed = gi.ThresholdBinary(new Gray(240),new Gray(255));
//ibCanny.Image = imgProcessed;
//Test using expensive filters...not good results
//Image<Gray, float> imgSobel = imgProcessed.Sobel(1, 0, 23);
//ibHoughCircles.Image = imgSobel;
//imgProcessed = imgProcessed.SmoothGaussian(3);
//ibHoughCircles2.Image = imgProcessed;
//THRESHOLD_BINARY
//imgProcessed = imgProcessed.ThresholdBinary(new Gray(THRESHOLD_BINARY_MIN), new Gray(THRESHOLD_BINARY_MAX)); //ThresholdBinary
//imgProcessed = imgProcessed.ThresholdBinaryInv(new Gray(THRESHOLD_BINARY_MIN), new Gray(THRESHOLD_BINARY_MAX)); //ThresholdBinary
#region MemStorage
contoursPositions.Clear();
#region Circles
using (MemStorage stor = new MemStorage())
{
//Find contours with no holes try CV_RETR_EXTERNAL to find holes
contours = imgProcessed.FindContours(
Emgu.CV.CvEnum.CHAIN_APPROX_METHOD.CV_CHAIN_APPROX_SIMPLE,
Emgu.CV.CvEnum.RETR_TYPE.CV_RETR_EXTERNAL,
stor);
//contours = imgProcessed.FindContours(
// Emgu.CV.CvEnum.CHAIN_APPROX_METHOD.CV_CHAIN_APPROX_SIMPLE,
// Emgu.CV.CvEnum.RETR_TYPE.CV_RETR_CCOMP,
// stor);
//markers.Clear();
for (int i = 0; contours != null; contours = contours.HNext)
{
i++;
//if ((contours.Area > Math.Pow(17, 2)) && (contours.Area < Math.Pow(45, 2)))
if ((contours.Area > Math.Pow(7, 2)) && (contours.Area < Math.Pow(45, 2)))
{
MCvBox2D box = contours.GetMinAreaRect();
CountorsPositions cp = new CountorsPositions(box.center.X, box.center.Y,(float)contours.Area);
contoursPositions.Add(cp);
//pImg.Draw(box, new Bgr(System.Drawing.Color.Red), 3);
//blobCount++;
CvInvoke.cvCircle(pImg,
new System.Drawing.Point((int)box.center.X, (int)box.center.Y),
2,
new MCvScalar(0, 255, 0),
-1,
LINE_TYPE.CV_AA,
0);
PointF p = new PointF((int)box.center.X, (int)box.center.Y);
CircleF c = new CircleF(p, (float)Math.Sqrt(contours.Area));
pImg.Draw(c,
new Bgr(System.Drawing.Color.Orange),
3);
//markers.Add(new Point((int)box.center.X, (int)box.center.Y));
}
}
}
#endregion
//cleanList();
FillingAnswersToAbstractObject();
FillingAnswerstToFinalQuestionsList();
//if (markers.Count == 4)
//{
// DrawLines(markers);
//}
////this.outImg.Source = ImageHelpers.ToBitmapSource(openCVImg);
////txtBlobCount.Text = blobCount.ToString();
#endregion
//ibHoughCircles.Image = imgProcessed;
//Image<Gray,float> imgSobel = imgProcessed.Sobel(1, 0,3);
//ibHoughCircles2.Image = imgSobel;
//imgProcessed = imgProcessed.SmoothGaussian(3);
//ibHoughCircles.Image = imgProcessed;
// canny process
//imgProcessedCanny = imgProcessed.Canny(new Gray(THRESH), new Gray(THRESH_LINKING));
//ibHoughCircles2.Image = imgProcessed;
// finding all circles from image
CircleF[] circles;/* = imgProcessedCanny.HoughCircles(new Gray(CANNY_THRESHOLD),
new Gray(ACUMMULATOR_THRESHOLD),
2,
//imgProcessed.Height / 4,
MIN_DIST,
// de 1 a 4 varia en la cantidad de pixeles a procesar, calidad de la imagen
MIN_RADIO,
MAX_RADIO)[0];
*/
circles = null;
if (circles != null)
{
txtTotalCircles.Text = circles.Length.ToString();
for (int i = 0; i < circles.Length; i++)
{
CvInvoke.cvCircle(imgProcessedHoughCircle,
new Point((int)circles[i].Center.X, (int)circles[i].Center.Y),
2,
new MCvScalar(0, 255, 0),
-1,
LINE_TYPE.CV_AA,
0);
}
for (int i = 0; i < circles.Length; i++)
{
imgProcessedHoughCircle.Draw(circles[i],
new Bgr(Color.Red),
2);
// mostrmo lo Id desordemandos del arreglo de circles
MCvFont f = new MCvFont(FONT.CV_FONT_HERSHEY_COMPLEX, 0.9, 0.9);
imgProcessedHoughCircle.Draw(i.ToString(), ref f, new Point((int)circles[i].Center.X + 10, (int)circles[i].Center.Y + 6), new Bgr(255, 0, 0));
}
// call method to make second iteration
//ProcesseFrameToFindAnswers(imgProcessedHoughCircle2, circles.ToList(),0);
//ibHoughCircles.Image = imgProcessedHoughCircle;
//ibHoughCircles2.Image = imgProcessedHoughCircle2;
//ibHoughCircles2.Image = imgProcessedHoughCircle;
imageBox1.Image = imgProcessedHoughCircle2;
}
//ibOriginal.Image = pImg;
//ibCanny.Image = imgProcessedCanny;
}
break;
#endregion
#region test_200ppp_Edit
//if (pImg != null)
//{
// //Images where to draw of what is processed
// imgProcessedHoughCircle = pImg.Copy();
// imgProcessedHoughCircle2 = pImg.Copy();
// ////
// //Image<Bgr, byte> blur = pImg.SmoothBlur(10, 10, true);
// //ibOriginal.Image = blur;
// //Image<Bgr, byte> mediansmooth = pImg.SmoothMedian(3);
// //imageBox1.Image = mediansmooth;
// //Image<Bgr, byte> bilat = pImg.SmoothBilatral(7, 255, 34);
// //imageBox2.Image = bilat;
// //Image<Bgr, byte> gauss = pImg.SmoothGaussian(3, 3, 34.3, 45.3);
// //ibHoughCircles2.Image = gauss;
// ///
// //ranges
// imgProcessed = pImg.InRange(new Bgr(B_MIN, G_MIN, R_MIN),
// new Bgr(B_MAX, G_MAX, R_MAX));
// ibOriginal.Image = imgProcessed;
// //SmoothGuassian process
// imgProcessed = imgProcessed.SmoothGaussian(31);
// ibCanny.Image = imgProcessed;
// //THRESHOLD_BINARY
// imgProcessed = imgProcessed.ThresholdBinary(new Gray(THRESHOLD_BINARY_MIN), new Gray(THRESHOLD_BINARY_MAX)); //ThresholdBinary
// ibHoughCircles.Image = imgProcessed;
// //Image<Gray,float> imgSobel = imgProcessed.Sobel(1, 0,3);
// //ibHoughCircles2.Image = imgSobel;
// //imgProcessed = imgProcessed.SmoothGaussian(9);
// // canny process
// imgProcessedCanny = imgProcessed.Canny(new Gray(THRESH), new Gray(THRESH_LINKING));
// //ibHoughCircles.Image = imgProcessedCanny;
// // finding all circles from image
// CircleF[] circles = imgProcessedCanny.HoughCircles(new Gray(CANNY_THRESHOLD),
// new Gray(ACUMMULATOR_THRESHOLD),
// 2,
// //imgProcessed.Height / 4,
// MIN_DIST,
// // de 1 a 4 varia en la cantidad de pixeles a procesar, calidad de la imagen
// MIN_RADIO,
// MAX_RADIO)[0];
// //circles = null;
// if (circles != null)
// {
// txtTotalCircles.Text = circles.Length.ToString();
// for (int i = 0; i < circles.Length; i++)
// {
// CvInvoke.cvCircle(imgProcessedHoughCircle,
// new Point((int)circles[i].Center.X, (int)circles[i].Center.Y),
// 2,
// new MCvScalar(0, 255, 0),
// -1,
// LINE_TYPE.CV_AA,
// 0);
// }
// for (int i = 0; i < circles.Length; i++)
// {
// imgProcessedHoughCircle.Draw(circles[i],
// new Bgr(Color.Red),
// 2);
// // mostrmo lo Id desordemandos del arreglo de circles
// MCvFont f = new MCvFont(FONT.CV_FONT_HERSHEY_COMPLEX, 0.9, 0.9);
// imgProcessedHoughCircle.Draw(i.ToString(), ref f, new Point((int)circles[i].Center.X + 10, (int)circles[i].Center.Y + 6), new Bgr(255, 0, 0));
// }
// ProcesseFrameToFindAnswers(imgProcessedHoughCircle2, circles.ToList(),0);
// //ibHoughCircles.Image = imgProcessedHoughCircle;
// //ibHoughCircles2.Image = imgProcessedHoughCircle2;
// ibHoughCircles2.Image = imgProcessedHoughCircle;
// imageBox1.Image = imgProcessedHoughCircle2;
// }
// //ibOriginal.Image = pImg;
// //ibCanny.Image = imgProcessedCanny;
//}
//break;
#endregion
#endregion
//#region second iteration 1
//case 1:
// if (pImg != null)
// {
// InicializeColorConfigurationpPen_200ppp_No_Inverse_Second_Iteration();
// //Images where to draw of what is processed
// imgProcessedHoughCircle = pImg.Copy();
// imgProcessedHoughCircle2 = pImg.Copy();
// ////
// //Image<Bgr, byte> blur = pImg.SmoothBlur(10, 10, true);
// //ibOriginal.Image = blur;
// //Image<Bgr, byte> mediansmooth = pImg.SmoothMedian(13);
// //imageBox1.Image = mediansmooth;
// //imageBox1.Image = mediansmooth;
// //Image<Bgr, byte> bilat = pImg.SmoothBilatral(5, 255, 34);
// //imageBox2.Image = bilat;
// //Image<Bgr, byte> gauss = pImg.SmoothGaussian(7, 7, 34.3, 45.3);
// //imageBox1.Image = gauss;
// ///
// //ranges
// imgProcessed = pImg.InRange(new Bgr(B_MIN, G_MIN, R_MIN),
// new Bgr(B_MAX, G_MAX, R_MAX));
// //ibOriginal.Image = imgProcessed;
// //SmoothGuassian process
// imgProcessed = imgProcessed.SmoothGaussian(31);
// ibCanny.Image = imgProcessed;
// //THRESHOLD_BINARY
// imgProcessed = imgProcessed.ThresholdBinary(new Gray(THRESHOLD_BINARY_MIN), new Gray(THRESHOLD_BINARY_MAX)); //ThresholdBinary
// ibHoughCircles.Image = imgProcessed;
// //Image<Gray,float> imgSobel = imgProcessed.Sobel(1, 0,3);
// //ibHoughCircles2.Image = imgSobel;
// imgProcessed = imgProcessed.SmoothGaussian(9);
// //ibHoughCircles.Image = imgProcessed;
// // canny process
// //imgProcessedCanny = imgProcessed.Canny(new Gray(THRESH), new Gray(THRESH_LINKING));
// ibHoughCircles2.Image = imgProcessed;
// // finding all circles from image
// CircleF[] circles = imgProcessedCanny.HoughCircles(new Gray(CANNY_THRESHOLD),
// new Gray(ACUMMULATOR_THRESHOLD),
// 2,
// //imgProcessed.Height / 4,
// MIN_DIST,
// // de 1 a 4 varia en la cantidad de pixeles a procesar, calidad de la imagen
// MIN_RADIO,
// MAX_RADIO)[0];
// //circles = null;
// if (circles != null)
// {
// txtTotalCircles.Text = circles.Length.ToString();
// for (int i = 0; i < circles.Length; i++)
// {
// CvInvoke.cvCircle(imgProcessedHoughCircle,
// new Point((int)circles[i].Center.X, (int)circles[i].Center.Y),
// 2,
// new MCvScalar(0, 255, 0),
// -1,
// LINE_TYPE.CV_AA,
// 0);
// }
// for (int i = 0; i < circles.Length; i++)
// {
// imgProcessedHoughCircle.Draw(circles[i],
// new Bgr(Color.Red),
// 2);
// // mostrmo lo Id desordemandos del arreglo de circles
// MCvFont f = new MCvFont(FONT.CV_FONT_HERSHEY_COMPLEX, 0.9, 0.9);
// imgProcessedHoughCircle.Draw(i.ToString(), ref f, new Point((int)circles[i].Center.X + 10, (int)circles[i].Center.Y + 6), new Bgr(255, 0, 0));
// }
// // call method to make second iteration
// ProcesseFrameToFindAnswers(imgProcessedHoughCircle2, circles.ToList(), 1);
// //ibHoughCircles.Image = imgProcessedHoughCircle;
// //ibHoughCircles2.Image = imgProcessedHoughCircle2;
// //ibHoughCircles2.Image = imgProcessedHoughCircle;
// imageBox1.Image = imgProcessedHoughCircle2;
// }
// //ibOriginal.Image = pImg;
// //ibCanny.Image = imgProcessedCanny;
// }
// break;
//#endregion
//#region third iteration 2
//case 2:
// if (pImg != null)
// {
// InicializeColorConfigurationpPen_200ppp_No_Inverse_Third_Iteration();
// //Images where to draw of what is processed
// imgProcessedHoughCircle = pImg.Copy();
// imgProcessedHoughCircle2 = pImg.Copy();
// ////
// //Image<Bgr, byte> blur = pImg.SmoothBlur(10, 10, true);
// //ibOriginal.Image = blur;
// //Image<Bgr, byte> mediansmooth = pImg.SmoothMedian(13);
// //imageBox1.Image = mediansmooth;
// //imageBox1.Image = mediansmooth;
// //Image<Bgr, byte> bilat = pImg.SmoothBilatral(5, 255, 34);
// //imageBox2.Image = bilat;
// //Image<Bgr, byte> gauss = pImg.SmoothGaussian(7, 7, 34.3, 45.3);
// //imageBox1.Image = gauss;
// ///
// //ranges
// imgProcessed = pImg.InRange(new Bgr(B_MIN, G_MIN, R_MIN),
// new Bgr(B_MAX, G_MAX, R_MAX));
// ibOriginal.Image = imgProcessed;
// //SmoothGuassian process
// imgProcessed = imgProcessed.SmoothGaussian(23);
// ibCanny.Image = imgProcessed;
// //THRESHOLD_BINARY
// imgProcessed = imgProcessed.ThresholdBinary(new Gray(THRESHOLD_BINARY_MIN), new Gray(THRESHOLD_BINARY_MAX)); //ThresholdBinary
// ibHoughCircles.Image = imgProcessed;
// //Image<Gray,float> imgSobel = imgProcessed.Sobel(1, 0,3);
// //ibHoughCircles2.Image = imgSobel;
// //imgProcessed = imgProcessed.SmoothGaussian(9);
// //ibHoughCircles.Image = imgProcessed;
// // canny process
// imgProcessedCanny = imgProcessed.Canny(new Gray(THRESH), new Gray(THRESH_LINKING));
// ibHoughCircles2.Image = imgProcessedCanny;
// // finding all circles from image
// CircleF[] circles = imgProcessedCanny.HoughCircles(new Gray(CANNY_THRESHOLD),
// new Gray(ACUMMULATOR_THRESHOLD),
// 2,
// //imgProcessed.Height / 4,
// MIN_DIST,
// // de 1 a 4 varia en la cantidad de pixeles a procesar, calidad de la imagen
// MIN_RADIO,
// MAX_RADIO)[0];
// //circles = null;
// if (circles != null)
// {
// txtTotalCircles.Text = circles.Length.ToString();
// for (int i = 0; i < circles.Length; i++)
// {
// CvInvoke.cvCircle(imgProcessedHoughCircle,
// new Point((int)circles[i].Center.X, (int)circles[i].Center.Y),
// 2,
// new MCvScalar(0, 255, 0),
// -1,
// LINE_TYPE.CV_AA,
// 0);
// }
// for (int i = 0; i < circles.Length; i++)
// {
// imgProcessedHoughCircle.Draw(circles[i],
// new Bgr(Color.Red),
// 2);
// // mostrmo lo Id desordemandos del arreglo de circles
// MCvFont f = new MCvFont(FONT.CV_FONT_HERSHEY_COMPLEX, 0.9, 0.9);
// imgProcessedHoughCircle.Draw(i.ToString(), ref f, new Point((int)circles[i].Center.X + 10, (int)circles[i].Center.Y + 6), new Bgr(255, 0, 0));
// }
// // call method to make second iteration
// ProcesseFrameToFindAnswers(imgProcessedHoughCircle2, circles.ToList(), 2);
// //ibHoughCircles.Image = imgProcessedHoughCircle;
// //ibHoughCircles2.Image = imgProcessedHoughCircle2;
// //ibHoughCircles2.Image = imgProcessedHoughCircle;
// imageBox1.Image = imgProcessedHoughCircle2;
// }
// //ibOriginal.Image = pImg;
// //ibCanny.Image = imgProcessedCanny;
// }
// break;
//#endregion
}
#region test_200ppp Better_ VALORES EN FOTOS 1 y 2
//if (pImg != null)
//{
// //Images where to draw of what is processed
// imgProcessedHoughCircle = pImg.Copy();
// imgProcessedHoughCircle2 = pImg.Copy();
// ////
// Image<Bgr, byte> blur = pImg.SmoothBlur(10, 10, true);
// ibOriginal.Image = blur;
// //Image<Bgr, byte> mediansmooth = pImg.SmoothMedian(13);
// //imageBox1.Image = mediansmooth;
// //imageBox1.Image = mediansmooth;
// //Image<Bgr, byte> bilat = pImg.SmoothBilatral(5, 255, 34);
// //imageBox2.Image = bilat;
// //Image<Bgr, byte> gauss = pImg.SmoothGaussian(7, 7, 34.3, 45.3);
// //imageBox1.Image = gauss;
// ///
// //ranges
// imgProcessed = blur.InRange(new Bgr(B_MIN, G_MIN, R_MIN),
// new Bgr(B_MAX, G_MAX, R_MAX));
// ibCanny.Image = imgProcessed;
// //SmoothGuassian process
// imgProcessed = imgProcessed.SmoothGaussian(23);
// //ibCanny.Image = imgProcessed;
// //THRESHOLD_BINARY
// imgProcessed = imgProcessed.ThresholdBinaryInv(new Gray(THRESHOLD_BINARY_MIN), new Gray(THRESHOLD_BINARY_MAX)); //ThresholdBinary
// ibHoughCircles.Image = imgProcessed;
// //Image<Gray,float> imgSobel = imgProcessed.Sobel(1, 0,3);
// //ibHoughCircles2.Image = imgSobel;
// //imgProcessed = imgProcessed.SmoothGaussian(9);
// //ibHoughCircles.Image = imgProcessed;
// // canny process
// imgProcessedCanny = imgProcessed.Canny(new Gray(THRESH), new Gray(THRESH_LINKING));
// ibHoughCircles2.Image = imgProcessedCanny;
// // finding all circles from image
// CircleF[] circles = imgProcessedCanny.HoughCircles(new Gray(CANNY_THRESHOLD),
// new Gray(ACUMMULATOR_THRESHOLD),
// 2,
// //imgProcessed.Height / 4,
// MIN_DIST,
// // de 1 a 4 varia en la cantidad de pixeles a procesar, calidad de la imagen
// MIN_RADIO,
// MAX_RADIO)[0];
// //circles = null;
// if (circles != null)
// {
// txtTotalCircles.Text = circles.Length.ToString();
// for (int i = 0; i < circles.Length; i++)
// {
// CvInvoke.cvCircle(imgProcessedHoughCircle,
// new Point((int)circles[i].Center.X, (int)circles[i].Center.Y),
// 2,
// new MCvScalar(0, 255, 0),
// -1,
// LINE_TYPE.CV_AA,
// 0);
// }
// for (int i = 0; i < circles.Length; i++)
// {
// imgProcessedHoughCircle.Draw(circles[i],
// new Bgr(Color.Red),
// 2);
// // mostrmo lo Id desordemandos del arreglo de circles
// MCvFont f = new MCvFont(FONT.CV_FONT_HERSHEY_COMPLEX, 0.9, 0.9);
// imgProcessedHoughCircle.Draw(i.ToString(), ref f, new Point((int)circles[i].Center.X + 10, (int)circles[i].Center.Y + 6), new Bgr(255, 0, 0));
// }
// //ProcesseFrameToFindAnswers(imgProcessedHoughCircle2, circles.ToList());
// //ibHoughCircles.Image = imgProcessedHoughCircle;
// //ibHoughCircles2.Image = imgProcessedHoughCircle2;
// imageBox1.Image = imgProcessedHoughCircle;
// imageBox2.Image = imgProcessedHoughCircle2;
// }
// //ibOriginal.Image = pImg;
// //ibCanny.Image = imgProcessedCanny;
//}
#endregion
#region test_100ppp so so
//if (pImg != null)
//{
// //Images where to draw of what is processed
// imgProcessedHoughCircle = pImg.Copy();
// imgProcessedHoughCircle2 = pImg.Copy();
// //ranges
// imgProcessed = pImg.InRange(new Bgr(B_MIN, G_MIN, R_MIN),
// new Bgr(B_MAX, G_MAX, R_MAX));
// //SmoothGuassian process
// imgProcessed = imgProcessed.SmoothGaussian(9);
// // canny process
// imgProcessedCanny = imgProcessed.Canny(new Gray(THRESH), new Gray(THRESH_LINKING));
// // finding all circles from image
// CircleF[] circles = imgProcessedCanny.HoughCircles(new Gray(CANNY_THRESHOLD),
// new Gray(ACUMMULATOR_THRESHOLD),
// 2,
// //imgProcessed.Height / 4,
// MIN_DIST,
// // de 1 a 4 varia en la cantidad de pixeles a procesar, calidad de la imagen
// /* => */ MIN_RADIO,
// MAX_RADIO)[0];
// //COMENTAR PARA HACER PRUEBAS DE CALIBRACION
// //circles = null;
// if (circles != null)
// {
// txtTotalCircles.Text = circles.Length.ToString();
// for (int i = 0; i < circles.Length; i++)
// {
// CvInvoke.cvCircle(imgProcessedHoughCircle,
// new Point((int)circles[i].Center.X, (int)circles[i].Center.Y),
// 2,
// new MCvScalar(0, 255, 0),
// -1,
// LINE_TYPE.CV_AA,
// 0);
// }
// for (int i = 0; i < circles.Length; i++)
// {
// imgProcessedHoughCircle.Draw(circles[i],
// new Bgr(Color.Red),
// 2);
// // mostrmo lo Id desordemandos del arreglo de circles
// MCvFont f = new MCvFont(FONT.CV_FONT_HERSHEY_COMPLEX, 0.9, 0.9);
// imgProcessedHoughCircle.Draw(i.ToString(), ref f, new Point((int)circles[i].Center.X + 10, (int)circles[i].Center.Y + 6), new Bgr(255, 0, 0));
// }
// ProcesseFrameToFindAnswers(imgProcessedHoughCircle2, circles.ToList());
// ibHoughCircles.Image = imgProcessedHoughCircle;
// ibHoughCircles2.Image = imgProcessedHoughCircle2;
// }
// ibOriginal.Image = pImg;
// ibCanny.Image = imgProcessedCanny;
//}
#endregion
}
void r_SpeechRecognized(object sender, SpeechRecognizedEventArgs e)
{
c++;
String a= e.Result.Text;
String low1 = "haha";
String low2 = "hahaha";
String med1 = "hahahaha";
String med2 = "hahahahaha";
String high1 ="hahahahahaha";
String high2 ="hahahahahahaha";
String high3 ="hahahahahahahaha";
String high4 ="hahahahahahahahaha";
MCvFont font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_DUPLEX,2d,2d);
Image<Bgr, Byte> frame = new Image<Bgr, byte>(300, 300);
FontFamily ff = new FontFamily("Courier New");
Font f = new Font(ff, 50, FontStyle.Italic);
frame.Draw(c.ToString(), ref font, new Point(32, 55), new Bgr(Color.Red));
imageBox1.Image = frame;
if (a.Equals(low1))
{
progressBar1.Value = 25;
}
if (a.Equals(low2))
{
progressBar1.Value = 25;
}
if (a.Equals(med1))
{
progressBar1.Value = 50;
}
if (a.Equals(med2))
{
progressBar1.Value = 50;
}
if ((a.Equals(high2))||(a.Equals(high1)))
{
progressBar1.Value = 80;
}
if ((a.Equals(high3)) || (a.Equals(high4)))
{
progressBar1.Value = 100;
}
}
private void showID(List<List<CircleF>> pListOrdered)
{
int id = 0;
for (int i = 0; i < pListOrdered.Count; i++)
{
for (int j = 0; j < pListOrdered[i].Count; j++)
{
MCvFont f = new MCvFont(FONT.CV_FONT_HERSHEY_COMPLEX, 0.9, 0.9);
imgProcessedHoughCircle2.Draw((id + 1).ToString(), ref f, new Point((int)pListOrdered[i][j].Center.X + 10, (int)pListOrdered[i][j].Center.Y + 6), new Bgr(0, 0, 255));
id++;
}
}
}
private void addFPS(Image<Bgr, Byte> imageFrame, int x, int y)
{
frameCounter++;
long seconds = DateTime.Now.Ticks / TimeSpan.TicksPerSecond;
if (tickCouner != seconds)
{
FPS = frameCounter;
tickCouner = seconds;
frameCounter = 0;
}
MCvFont font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_TRIPLEX, 1, 1);
imageFrame.Draw("FPS: " + FPS, ref font, new Point(x, y), new Bgr(Color.Green));
}
private Hand ComputeHandInfo(Image<Bgr, byte> imageFrame)
{
int fingerNumber = 0;
#region defects drawing
if (defects == null)
{
return null;
}
//iterating all found defects
for (int i = 0; i < defects.Total; i++)
{
PointF beginPoint, depthPoint, endPoint;
try
{
//defect has three points: begin, depth and end. They're computed here:
beginPoint = new PointF((float)defectsArr[i].StartPoint.X,
(float)defectsArr[i].StartPoint.Y);
depthPoint = new PointF((float)defectsArr[i].DepthPoint.X,
(float)defectsArr[i].DepthPoint.Y);
endPoint = new PointF((float)defectsArr[i].EndPoint.X,
(float)defectsArr[i].EndPoint.Y);
}
catch (Exception e)
{
return null;
}
//nice looking lines connecting defects begin and end, with it's depth point:
LineSegment2D startDepthLine = new LineSegment2D(defectsArr[i].StartPoint, defectsArr[i].DepthPoint);
LineSegment2D depthEndLine = new LineSegment2D(defectsArr[i].DepthPoint, defectsArr[i].EndPoint);
//circles at the begin,depth,end points (for computing purposes):
CircleF beginCircle = new CircleF(beginPoint, 5f);
CircleF depthCircle = new CircleF(depthPoint, 5f);
CircleF endCircle = new CircleF(endPoint, 5f);
//heuristic that decides if the defect in convect hull can caused by finger:
if ((beginCircle.Center.Y < box.center.Y || depthCircle.Center.Y < box.center.Y) && (beginCircle.Center.Y < depthCircle.Center.Y) && (Math.Sqrt(Math.Pow(beginCircle.Center.X - depthCircle.Center.X, 2) + Math.Pow(beginCircle.Center.Y - depthCircle.Center.Y, 2)) > box.size.Height / 6.5))
{
fingerNumber++;
imageFrame.Draw(startDepthLine, new Bgr(Color.Green), 2);
imageFrame.Draw(depthEndLine, new Bgr(Color.Magenta), 2);
}
//finally also we can draw the dots:
imageFrame.Draw(beginCircle, new Bgr(Color.Red), 2);
imageFrame.Draw(depthCircle, new Bgr(Color.Yellow), 5);
imageFrame.Draw(endCircle, new Bgr(Color.DarkBlue), 4);
}
#endregion
//Console.Write(fingerNumber + " | ");
for (int j = 1; j < fingerCountArray.Length; j++)
{
fingerCountArray[j - 1] = fingerCountArray[j];
}
fingerCountArray[fingerCountArray.Length - 1] = fingerNumber;
int[] tmpArr = new int[fingerCountArray.Length];
for (int k = 0; k < tmpArr.Length; k++)
{
tmpArr[k] = fingerCountArray[k];
}
Array.Sort(tmpArr);
fingerNumber = tmpArr[tmpArr.Length / 2];
Console.WriteLine(string.Join(",", fingerCountArray));
//drawing the number of visible fingers:
MCvFont font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_DUPLEX, 5d, 5d);
imageFrame.Draw(fingerNumber.ToString(), ref font, new Point(50, 150), new Bgr(Color.White));
return new Hand(fingerNumber, handRect.Height, imageFrame.Size.Height, handRect.Left, handRect.Top);
}
private void ProcessFrame(object sender, EventArgs arg)
{
Image<Bgr, Byte> frame = _capture.QueryFrame();
if (insText != "")
{
MCvFont font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_TRIPLEX, 2.0, 2.0);
frame.Draw(insText, ref font, new System.Drawing.Point(150, 450), new Bgr(255, 255, 255));
}
imgPreview.Image = frame;
}
/// <summary>
/// Capture a Bgr image frame
/// </summary>
/// <returns> A Bgr image frame</returns>
public virtual Image<Bgr, Byte> QueryFrame()
{
#if TEST_CAPTURE
Image<Bgr, Byte> tmp = new Image<Bgr, Byte>(320, 240, new Bgr());
MCvFont font = new MCvFont( CvEnum.FONT.CV_FONT_HERSHEY_PLAIN, 1.0, 1.0);
tmp.Draw(System.DateTime.Now.Ticks.ToString(),
ref font,
new Point(10, 50),
new Bgr(255.0, 255.0, 255.0));
IntPtr img = tmp;
#else
IntPtr img = CvInvoke.cvQueryFrame(Ptr);
#endif
if (img == IntPtr.Zero)
return null;
MIplImage iplImage = (MIplImage)Marshal.PtrToStructure(img, typeof(MIplImage));
Image<Bgr, Byte> res;
if (iplImage.nChannels == 1)
{ //if the image captured is Grayscale, convert it to BGR
res = new Image<Bgr, Byte>(iplImage.width, iplImage.height);
CvInvoke.cvCvtColor(img, res.Ptr, Emgu.CV.CvEnum.COLOR_CONVERSION.CV_GRAY2BGR);
}
else
{
res = new Image<Bgr, byte>(iplImage.width, iplImage.height, iplImage.widthStep, iplImage.imageData);
}
//inplace flip the image if necessary
res._Flip(FlipType);
return res;
}
private void button1_Click(object sender, EventArgs e)
{
//The name of the window
String win1 = "Test Window";
//Create the window using the specific name
CvInvoke.cvNamedWindow(win1);
//Create an image of 400x200 of Blue color
using (Image<Bgr, Byte> img = new Image<Bgr, byte>(400, 200, new Bgr(255, 0, 0)))
{
//Create the font
MCvFont f = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_COMPLEX, 1.0, 1.0);
//Draw "Hello, world." on the image using the specific font
img.Draw("Hello, world", ref f, new Point(10, 80), new Bgr(0, 255, 0));
//Show the image
CvInvoke.cvShowImage(win1, img.Ptr);
//Wait for the key pressing event
CvInvoke.cvWaitKey(0);
//Destory the window
CvInvoke.cvDestroyWindow(win1);
}
}
private void captureThread()
{
while (captureEnabled)
{
System.Threading.Thread.Sleep(20);
Image<Bgr, Byte> frame = _capture.QueryFrame();
if (insText != "")
{
MCvFont font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_TRIPLEX, 2.0, 2.0);
frame.Draw(insText, ref font, new System.Drawing.Point(150, 450), new Bgr(255, 255, 255));
}
imgPreview.Image = frame;
}
}
public int apply(string fileName, string output)
{
int counter = 0;
Emgu.CV.Image<Bgr, Byte> imgS = new Emgu.CV.Image<Bgr, Byte>(fileName);
Emgu.CV.Image<Gray, Byte> img = new Emgu.CV.Image<Gray, Byte>(fileName);
//Emgu.CV.Image<Gray, Byte> imgGray = new Image<Gray, byte>(img.Width, img.Height);
//CvInvoke.cvCvtColor(img, imgGray, COLOR_CONVERSION.BGR2GRAY);
int thresh = 1;
int max_thresh = 255;
img = img.ThresholdBinary(new Gray(thresh), new Gray(max_thresh));
img.Save(output.Replace(".", "_binary."));
Contour<Point> contur = img.FindContours(Emgu.CV.CvEnum.CHAIN_APPROX_METHOD.CV_CHAIN_APPROX_SIMPLE, Emgu.CV.CvEnum.RETR_TYPE.CV_RETR_CCOMP);
Emgu.CV.CvInvoke.cvDrawContours(imgS, contur, new MCvScalar(0, 0, 255), new MCvScalar(0, 0, 255), 1, 1, LINE_TYPE.EIGHT_CONNECTED, new Point(0, 0));
contur = img.FindContours(Emgu.CV.CvEnum.CHAIN_APPROX_METHOD.CV_CHAIN_APPROX_SIMPLE, Emgu.CV.CvEnum.RETR_TYPE.CV_RETR_CCOMP);
while (contur != null && contur.HNext != null)
{
if (counter == 0) { counter++; }
contur = contur.HNext;
counter++;
}
MCvFont font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_SIMPLEX, 0.8f, 0.8f);
MCvScalar color = new MCvScalar(255, 255, 255);
CvInvoke.cvPutText(imgS, "counter:" + counter, new Point(10, 20), ref font, color);
imgS.Save(output);
return counter;
}