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 static Image<Bgr, Byte> DrawContours(Image<Gray, Byte> image)
{
double something = 30;
List<VectorOfPoint> convertedContours = GetContours(image, ChainApproxMethod.ChainApproxSimple, RetrType.List, 0.001, something);
Image<Bgr, Byte> result = new Image<Bgr, Byte>(image.Width, image.Height, new Bgr(0, 0, 0));
int counter = 1;
Random randomGen = new Random();
KnownColor[] names = (KnownColor[])Enum.GetValues(typeof(KnownColor));
foreach (VectorOfPoint points in convertedContours)
{
KnownColor randomColorName = names[randomGen.Next(names.Length)];
Color randomColor = Color.FromKnownColor(randomColorName);
Bgr color = new Bgr(randomColor);
var temp = points.ToArray();
result.Draw(temp, color, 2);
counter++;
}
return result;
}
// rotation, theta is in degree
public void Rotate(double theta,Bgr color)
{
Mat Tmat = new Mat();
// CvInvoke considers rotation differently to Emgu CV image wrapper, theta is actually -theta
CvInvoke.GetRotationMatrix2D(new PointF(matImage.Width / 2, matImage.Height / 2), -theta, 1,Tmat);
CvInvoke.WarpAffine(matImage, destImage, Tmat, new Size(matImage.Width, matImage.Height),borderValue:new MCvScalar(color.Blue,color.Green,color.Red));
}
static void Main(string[] args)
{
//select color
Bgr<byte>[,] image = new Bgr<byte>[480, 640];
Hsv<byte> color = UI.PickColor(Bgr<byte>.Red).ToHsv();
//select mask
Gray<byte>[,] mask = image.GetMask();
if (mask.AsEnumerable().Sum(x => x.Intensity) == 0) //if the mask is empty
mask.SetValue<Gray<byte>>(Byte.MaxValue);
//increase saturation incrementally
for (int s = 0; s <= Byte.MaxValue; s++)
{
color.S = (byte)s;
image.SetValue<Bgr<byte>>(color.ToBgr(), mask);
image.Show(scaleForm: true);
((double)s / Byte.MaxValue).Progress(message: "Changing saturation");
Thread.Sleep(50);
}
//save last image
string fileName = UI.SaveImage();
if (fileName != null) image.Save(fileName);
//close all
UI.CloseAll();
}
public object Convert(object value, Type targetType, object parameter, CultureInfo culture)
{
if (!String.IsNullOrWhiteSpace(parameter.ToString()))
{
var brush = (SolidColorBrush)value;
var color = new Bgr(brush.Color.B,brush.Color.G,brush.Color.R);
buffer.SetValue(color);
var data = buffer.Convert<Hsv,byte>().Data;
string param = parameter.ToString();
switch(param){
case "h":
case "H":
return data[0, 0, 0];
case "s":
case "S":
return data[0, 0, 1];
case "v":
case "V":
return data[0, 0, 2];
default:
break;
}
}
throw new ArgumentException("Wrong Parameter. It can be only one from H,h,S,s,V,v.");
}
static void Main(string[] args)
{
UI.OpenImage();
Bgr<byte>[,] image = new Bgr<byte>[480, 640];
Hsv<byte> color = UI.PickColor(Bgr<byte>.Red).ToHsv();
for (int s = 0; s <= Byte.MaxValue; s++)
{
color.S = (byte)s;
image.SetValue<Bgr<byte>>(color.ToBgr());
image.Show(scaleForm: true);
((double)s / Byte.MaxValue).Progress(message: "Changing saturation");
Thread.Sleep(50);
}
//save last image
string fileName = UI.SaveImage();
if (fileName != null) image.Save(fileName);
//close all
UI.CloseAll();
}
private void DrawEvents(Image<Bgr, Byte> image, List<Event> events, Bgr color)
{
foreach(var ev in events)
{
image.Draw(ev.EventCoords, color, 1);
}
}
private void DrawPolyline(Image<Bgr, Byte> image, List<MarkovState> way, Bgr color)
{
for(int i = 1; i < way.Count; i++)
{
image.Draw(new LineSegment2D(Geometry.GetCenter(way[i].Coords), Geometry.GetCenter(way[i-1].Coords)), color, 3);
}
}
/// <summary>
/// loading of the form
/// </summary>
public Form1()
{
try
{
IC = new IntrinsicCameraParameters();
}
catch (Exception ex)
{
MessageBox.Show("Error: " + ex.Message);
}
InitializeComponent();
//fill line colour array
Random R = new Random();
for (int i = 0; i < line_colour_array.Length; i++)
{
line_colour_array[i] = new Bgr(R.Next(0, 255), R.Next(0, 255), R.Next(0, 255));
}
//set up cature as normal
try
{
_Capture = new Capture();
_Capture.ImageGrabbed += new Emgu.CV.Capture.GrabEventHandler(_Capture_ImageGrabbed);
_Capture.Start();
}
catch (Exception ex)
{
MessageBox.Show("Error: " + ex.Message);
}
}
private CardColor ClassifyColor(Bgr avgBgr, Hsv avgHsv)
{
if (avgHsv.Satuation < 30)
{
return CardColor.White;
}
else if (avgHsv.Satuation < 45)
{
return CardColor.Other;
}
else if (avgBgr.Red > avgBgr.Blue && avgBgr.Red > avgBgr.Green)
{
return CardColor.Red;
}
else if (avgBgr.Green > avgBgr.Blue && avgBgr.Green > avgBgr.Red)
{
return CardColor.Green;
}
else if (avgBgr.Green < avgBgr.Blue && avgBgr.Green < avgBgr.Red)
{
return CardColor.Purple;
}
else
{
return CardColor.White;
}
}
public ImageFinder()
{
rectangles = new List<Rectangle>();
stopwatch = new Stopwatch();
Threshold = 0.85;
fillColor = new Bgr(Color.Magenta);
}
/// <summary>
/// Sets the specified image.
/// </summary>
/// <param name="image">Image to display.</param>
public void SetImage(Bgr<byte>[,] image)
{
if (bmp == null || bmp.Width != image.Width() || bmp.Height != image.Height())
{
bmp = new Bitmap(image.Width(), image.Height(), PixelFormat.Format24bppRgb);
}
BitmapData bmpData = bmp.Lock();
if (bmpData.BytesPerPixel != image.ColorInfo().Size)
{
bmpData.Dispose();
bmpData = null;
bmp = new Bitmap(image.Width(), image.Height(), PixelFormat.Format24bppRgb);
}
bmpData = bmpData ?? bmp.Lock();
using (var uIm = image.Lock())
{
Copy.UnsafeCopy2D(uIm.ImageData, bmpData.Data, uIm.Stride, bmpData.ScanWidth, uIm.Height);
}
bmpData.Dispose();
imageView.Image = bmp;
if (ScaleForm)
ClientSize = new Size(image.Width(), image.Height());
}
static void Main(string[] args)
{
var img = new Bgr<byte>[480, 640];
//***********************************************************************************************************************************************************************
Console.ForegroundColor = ConsoleColor.Red; Console.WriteLine("********* TColor[,] <=> Image<> conversions (built-in) ****************"); Console.ResetColor();
//to Image<>
Image<Bgr<byte>> lockedImg = img.Lock();
//from Image<>
var arr = lockedImg.Clone();
//***********************************************************************************************************************************************************************
Console.WriteLine();
Console.ForegroundColor = ConsoleColor.Red; Console.WriteLine("********* Image<,> <=> OpenCV conversions (built-in) ****************"); Console.ResetColor();
//to IplImage
IplImage iplImage;
using (var uImg = img.Lock())
{
iplImage = uImg.AsOpenCvImage(); //data is shared
}
//from IplImage
var imgFromIpl = iplImage.AsImage();
//***********************************************************************************************************************************************************************
Console.WriteLine();
Console.ForegroundColor = ConsoleColor.Red; Console.WriteLine("*********** Image<,> <=> Bitmap conversions (BitmapInterop) ****************"); Console.ResetColor();
//to Bitmap
var bmp = img.ToBitmap();
//from Bitmap
var imgFromBmp = bmp.ToArray();
}
private double s = 0; // Superpixel Intervall Int
#endregion Fields
#region Constructors
// =============== Konstruktor ===============
public Superpixels(Image<Bgr, Byte> imageBgr, int superpixelCount)
{
// Werte setzen
k = superpixelCount;
n = imageBgr.Width * imageBgr.Height;
s = Math.Sqrt((double)n / (double)k);
area = Convert.ToInt32(2 * s * 2 * s);
m = 12;
// BGR to LAB Umrechnung und Vektormatrix erstellen
imageLab = imageBgr.Convert<Lab, Byte>();
pixels = new Pixel[imageBgr.Width, imageBgr.Height];
for (int r = 0; r < imageLab.Height; r++)
{
for (int c = 0; c < imageLab.Width; c++)
{
double l = (double)imageLab.Data[r, c, 0] * 100 / 255;
double a = (double)imageLab.Data[r, c, 1] - 128;
double b = (double)imageLab.Data[r, c, 2] - 128;
Bgr bgr = new Bgr(imageBgr.Data[r, c, 0], imageBgr.Data[r, c, 1], imageBgr.Data[r, c, 2]);
pixels[c, r] = new Pixel(new Vector5(l, a, b, c, r), bgr);
//Console.WriteLine("BGR = " + imageBgr.Data[r, c, 0] + " " + imageBgr.Data[r, c, 1] + " " + imageBgr.Data[r, c, 2]);
//Console.WriteLine("RGB = " + imageBgr.Data[r, c, 2] + " " + imageBgr.Data[r, c, 1] + " " + imageBgr.Data[r, c, 0]);
//Console.WriteLine("LAB = " + labValues[r, c].X + " " + labValues[r, c].Y + " " + labValues[r, c].Z);
}
}
}
private void rotatePhotos(object parameters)
{
object[] paramsArray = (object[])parameters;
List<string> fileNames = (List<string>)paramsArray[0];
PointF rotationCenter = (PointF)paramsArray[1];
Bitmap referencePic = new Bitmap(fileNames.First());
Image<Bgr, Byte> referenceImage = new Image<Bgr, Byte>(referencePic);
byte[] timeTakenRaw = referencePic.GetPropertyItem(36867).Value;
string timeTaken = System.Text.Encoding.ASCII.GetString(timeTakenRaw, 0, timeTakenRaw.Length - 1);
DateTime referenceTime = DateTime.ParseExact(timeTaken, "yyyy:MM:d H:m:s", System.Globalization.CultureInfo.InvariantCulture);
referencePic.Dispose();
Bgr background = new Bgr(0, 0, 0);
foreach (string filename in fileNames)
{
Bitmap currentPic = new Bitmap(filename);
timeTakenRaw = currentPic.GetPropertyItem(36867).Value;
timeTaken = System.Text.Encoding.ASCII.GetString(timeTakenRaw, 0, timeTakenRaw.Length - 1);
DateTime date = DateTime.ParseExact(timeTaken, "yyyy:MM:d H:m:s", System.Globalization.CultureInfo.InvariantCulture);
double secondsShift = (date - referenceTime).TotalSeconds;
double rotationAngle = secondsShift / stellarDay * 360;
RotationMatrix2D<double> rotationMatrix = new RotationMatrix2D<double>(rotationCenter, -rotationAngle, 1);
using (Image<Bgr, Byte> rotatedImage = new Image<Bgr, Byte>(currentPic))
{
referenceImage = referenceImage.Max(rotatedImage.WarpAffine<double>(rotationMatrix, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC, Emgu.CV.CvEnum.WARP.CV_WARP_FILL_OUTLIERS, background));
}
pictureProcessed(this, new PictureProcessedEventArgs(referenceImage));
currentPic.Dispose();
}
pictureProcessingComplete(this, new EventArgs());
}
public Filter(string name, int minCount, Bgr minBgr, Bgr maxBgr)
{
_name = name;
_minCount = minCount;
_minBgr = minBgr;
_maxBgr = maxBgr;
}
private HoughResult ProcessHoughTest(Image<Bgr, byte> image)
{
const int leftMargin = 0;
const int upMargin = 300;
const int downMargin = 200;
var size = image.Size;
image.ROI = new Rectangle(leftMargin, upMargin, size.Width - leftMargin * 2,
size.Height - upMargin - downMargin);
HoughLines.PreprocessImage(image);
var result = HoughLines.Compute(image);
lineCache_.AddResult(result);
result = lineCache_.GetCachedResult();
result.MoveRoiResult(leftMargin, upMargin);
image.ROI = Rectangle.Empty;
var red = new Bgr(Color.Red);
foreach (var line in result.SolidLines)
{
image.Draw(line, red, 3);
}
return result;
}
public VShape(Point[] shape, Bgr newID)
{
_shape = shape;
_isSquare = false;
_isTriangle = false;
health = 10;
ID = newID;
int len = _shape.Length;
sides = new double[len];
for (int i = 0; i < len - 1; i++)
{
sides[i] = Distance(_shape[i], _shape[i + 1]);
}
sides[len - 1] = Distance(_shape[len - 1], _shape[0]);
scale = Math.Round(FindScale(), 2);
if (IsRegular() && IsEquilateral())
{
if (_shape.Length == 3)
_isTriangle = true;
else if (_shape.Length == 4)
_isSquare = true;
}
}
public void ClassifyTest()
{
BgrClassifier target = new BgrClassifier();
Bgr value = new Bgr(145, 110, 197); //Purple
CardColor actual = target.Classify(value);
Assert.AreEqual(CardColor.Purple, actual);
}
private void Form1_Load(object sender, EventArgs e)
{
if (openImageFileDialog.ShowDialog() == System.Windows.Forms.DialogResult.OK)
{
Bgr drawColor = new Bgr(Color.Blue);
try
{
Image<Bgr, Byte> image = new Image<Bgr, byte>(openImageFileDialog.FileName);
original.Image = image.ToBitmap();
original.SizeMode = PictureBoxSizeMode.Zoom;
using (Image<Gray, byte> gray = image.Convert<Gray, Byte>())
{
_ocr.Recognize(gray);
Tesseract.Charactor[] charactors = _ocr.GetCharactors();
foreach (Tesseract.Charactor c in charactors)
{
image.Draw(c.Region, drawColor, 1);
}
processed.Image = image.ToBitmap();
processed.SizeMode = PictureBoxSizeMode.Zoom;
//String text = String.Concat( Array.ConvertAll(charactors, delegate(Tesseract.Charactor t) { return t.Text; }) );
String text = _ocr.GetText();
ocrTextBox.Text = text;
}
}
catch (Exception exception)
{
MessageBox.Show(exception.Message);
}
}
}
public Filter()
{
_name = "";
_minCount = int.MaxValue;
_minBgr = new Bgr(0, 0, 0);
_maxBgr = new Bgr(255, 255, 255);
}
private void drawDetections(IEnumerable<Rectangle> detections, Bgr<byte> color, int thickness)
{
foreach (var detection in detections)
{
debugImage.Draw(detection, color, thickness);
}
}
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;
}
/// <summary>
/// Draws text on the provided image.
/// </summary>
/// <param name="image">Input image.</param>
/// <param name="text">User text.</param>
/// <param name="font">Font.</param>
/// <param name="botomLeftPoint">Bottom-left point.</param>
/// <param name="color">Text color.</param>
/// <param name="opacity">Sets alpha channel where 0 is transparent and 255 is full opaque.</param>
public unsafe static void Draw(this Bgr<byte>[,] image, string text, Font font, Point botomLeftPoint, Bgr<byte> color, byte opacity = Byte.MaxValue)
{
using(var img = image.Lock())
{
var iplImage = img.AsCvIplImage();
CvCoreInvoke.cvPutText(&iplImage, text, botomLeftPoint, ref font, color.ToCvScalar());
}
}
// Konstruktor
public Pixel(Vector5 _vector, Bgr _bgr)
{
vector = _vector;
distance = 9999;
clusterNr = -1;
bgr = _bgr;
scanned = false;
}
public unsafe void ValueType()
{
var ptr = stackalloc Bgr[1];
*ptr = new Bgr { B = 1, G = 2, R = 3 };
Unsafe.Write(ptr, new Bgr { B = 11, G = 22, R = 33 });
Assert.Equal(11, ptr[0].B);
Assert.Equal(22, ptr[0].G);
Assert.Equal(33, ptr[0].R);
}
private double ColorDistance(Bgr a, Bgr b)
{
//do an euclidian distance on R, G and B
double blue = Math.Abs(a.Blue - b.Blue) * Math.Abs(a.Blue - b.Blue);
double green = Math.Abs(a.Green - b.Green) * Math.Abs(a.Green - b.Green);
double red = Math.Abs(a.Red - b.Red) * Math.Abs(a.Red - b.Red);
double result = Math.Sqrt(blue + green + red);
return result;
}
private MCvPoint3D32f[] _points; //Computer3DPointsFromStereoPair
#endregion
public StereoCameraCalibrationService()
{
//set up chessboard drawing array
Random R = new Random();
for (int i = 0; i < _lineColourArray.Length; i++)
{
_lineColourArray[i] = new Bgr(R.Next(0, 255), R.Next(0, 255), R.Next(0, 255));
}
}
public StereoImageControl()
{
InitializeComponent();
ViewModel = new StereoImageViewModel();
DataContext = ViewModel;
_bgrBlack = new Bgr(Color.Black);
ViewModel.PropertyChanged += ViewModelOnPropertyChanged;
}
protected override void OnDraw(ref Image <Bgr, Byte> src)
{
double maxDistMul = (double)GetVar("MaxDistMul");
double minDist = (double)GetVar("MinDist");
double verticalMul = (double)GetVar("VerticalMul");
GloveHand lastSides = HandRecord.LastRightWithBothSides();
if (lastSides == null)
{
return;
}
Bgr col = new Bgr(0, 255, 0);
Bgr col2 = new Bgr(0, 200, 0);
if (GeometryExt.Distance(lastSides.SideFingers[0].LightCenter, lastSides.SideFingers[1].LightCenter) > minDist * maxDistMul)
{
col = new Bgr(0, 0, 255);
col2 = new Bgr(0, 0, 200);
}
if (GeometryExt.Distance(lastSides.SideFingers[0].LightCenter, lastSides.SideFingers[1].LightCenter) < minDist)
{
col = new Bgr(200, 200, 200);
col2 = new Bgr(150, 150, 150);
}
if (Math.Abs(lastSides.SideFingers[0].LightCenter.Y - lastSides.SideFingers[1].LightCenter.Y) >=
Math.Abs(lastSides.SideFingers[0].LightCenter.X - lastSides.SideFingers[1].LightCenter.X) * verticalMul) // i side sono messi in verticale
{
col2 = new Bgr(255, 0, 0);
}
if (lastSides.SideFingers.Length == 2)
{
System.Drawing.Point p1 = lastSides.SideFingers[0].LightCenter;
System.Drawing.Point p2 = lastSides.SideFingers[1].LightCenter;
float smallC = ((float)GeometryExt.Distance(p1, p2) / 2) - 8;
float bigC = ((float)GeometryExt.Distance(p1, p2) / 2) + 8;
if (smallC < 0)
{
smallC = 0;
}
if (bigC < 0)
{
bigC = 0;
}
src.Draw(new CircleF(lastSides.SideMiddlePoint, smallC), col2, 3);
src.Draw(new CircleF(lastSides.SideMiddlePoint, bigC), col, 3);
src.Draw(new CircleF(lastSides.SideMiddlePoint, 5), new Bgr(255, 0, 255), -1);
}
}
public Image <Bgr, byte> ReturnRotated(Image <Bgr, byte> image, double angle, int centerX = 0, int centerY = 0)
{
angle = angle / 57.2956;
var resultImage = image.CopyBlank();
for (int x = 0; x < resultImage.Width - 1; x++)
{
for (int y = 0; y < resultImage.Height - 1; y++)
{
int newX = Convert.ToInt32(Math.Cos(angle) * (x - centerX) - Math.Sin(angle) * (y - centerY)) + centerX;
int newY = Convert.ToInt32(Math.Sin(angle) * (x - centerX) + Math.Cos(angle) * (y - centerY)) + centerY;
if (newX < resultImage.Width && newY < resultImage.Height && newX >= 0 && newY >= 0)
{
double X = newX;
double Y = newY;
double baseX = Math.Floor(X);
double baseY = Math.Floor(Y);
if (baseX >= image.Width - 1 || baseY >= image.Height - 1)
{
continue;
}
double rX = X - baseX;
double rY = Y - baseY;
double irX = 1 - rX;
double irY = 1 - rY;
Bgr c = new Bgr();
Bgr c1 = new Bgr();
Bgr c2 = new Bgr();
c1.Blue = image.Data[(int)baseY, (int)baseX, 0] * irX + image.Data[(int)baseY, (int)baseX + 1, 0] * rX;
c1.Green = image.Data[(int)baseY, (int)baseX, 1] * irX + image.Data[(int)baseY, (int)baseX + 1, 1] * rX;
c1.Red = image.Data[(int)baseY, (int)baseX, 2] * irX + image.Data[(int)baseY, (int)baseX + 1, 2] * rX;
c2.Blue = image.Data[(int)baseY + 1, (int)baseX, 0] * irX + image.Data[(int)baseY + 1, (int)baseX + 1, 0] * rX;
c2.Green = image.Data[(int)baseY + 1, (int)baseX, 0] * irX + image.Data[(int)baseY + 1, (int)baseX + 1, 0] * rX;
c2.Red = image.Data[(int)baseY + 1, (int)baseX, 0] * irX + image.Data[(int)baseY + 1, (int)baseX + 1, 0] * rX;
c.Blue = c1.Blue * irY + c2.Blue * rY;
c.Green = c1.Green * irY + c2.Green * rY;
c.Red = c1.Red * irY + c2.Red * rY;
resultImage[y, x] = c;
}
}
}
return(resultImage);
}
public void DetectConnected()
{
var classificator = new SkyCloudClassification(processingImage, defaultProperties);
classificator.Classify();
DenseMatrix dmSkyIndexDataBinary = classificator.dmSkyIndexDataBinary();
Image <Gray, Byte> imgSkyIndexDataBinary = ImageProcessing.grayscaleImageFromDenseMatrixWithFixedValuesBounds(dmSkyIndexDataBinary, 0.0d, 1.0d, true);
imgSkyIndexDataBinary = imgSkyIndexDataBinary.Mul(classificator.maskImage);
Image <Bgr, Byte> previewImage = imgSkyIndexDataBinary.CopyBlank().Convert <Bgr, Byte>();
// Contour<Point> contoursDetected = imgSkyIndexDataBinary.FindContours(Emgu.CV.CvEnum.CHAIN_APPROX_METHOD.CV_CHAIN_APPROX_SIMPLE, Emgu.CV.CvEnum.RETR_TYPE.CV_RETR_LIST);
#region // EmguCV 3.0
//VectorOfVectorOfPoint contoursDetected = new VectorOfVectorOfPoint();
//CvInvoke.FindContours(imgSkyIndexDataBinary, contoursDetected, null, Emgu.CV.CvEnum.RetrType.List,
// Emgu.CV.CvEnum.ChainApproxMethod.ChainApproxSimple);
//contoursArray = new List<VectorOfPoint>();
//int count = contoursDetected.Size;
//var colorGen = new RandomPastelColorGenerator();
//for (int i = 0; i < count; i++)
//{
// Color currentColor = colorGen.GetNext();
// var currentColorBgr = new Bgr(currentColor.B, currentColor.G, currentColor.R);
// using (VectorOfPoint currContour = contoursDetected[i])
// {
// contoursArray.Add(currContour);
// previewImage.Draw(currContour.ToArray(), currentColorBgr, -1); //.Draw(currContour, currentColorBgr, -1);
// }
//}
#endregion // EmguCV 3.0
List <Contour <Point> > contoursDetected = imgSkyIndexDataBinary.DetectContours();
RandomPastelColorGenerator colorGen = new RandomPastelColorGenerator();
foreach (Contour <Point> currContour in contoursDetected)
{
Color currentColor = colorGen.GetNext();
Bgr currentColorBgr = new Bgr(currentColor.B, currentColor.G, currentColor.R);
previewImage.Draw(currContour, currentColorBgr, -1);
}
ThreadSafeOperations.SetTextTB(tbLog, "Количество выделенных объектов: " + contoursArray.Count + Environment.NewLine, true);
//ShowImageForm ImgShow = new ShowImageForm(localPreviewBitmap, ParentForm, this);
var imgShow = new SimpleShowImageForm(previewImage);
imgShow.Show();
}
public static Image <Bgr, Byte> ColorLevel(this Image <Gray, Byte> src, ConnectLevel conn)
{
var dst = src.Convert <Bgr, Byte>();
var color = new Bgr(0, 0, 255);
foreach (var domain in conn.Domains)
{
foreach (var p in domain.Points)
{
dst[p.Y, p.X] = color;
}
}
return(dst);
}
public static void GetSquareSuperpixelImages(Image <Gray, Byte> image, string dir, string imageName, int regionSize = 20)
{
var numOfPixels = (image.Width / regionSize) * (image.Height / regionSize);
var segmentedImage = new Image <Bgr, Byte>(image.Width, image.Height);
CvInvoke.CvtColor(image, segmentedImage, Emgu.CV.CvEnum.ColorConversion.Gray2Bgr);
var meanImage = new Image <Gray, Byte>(image.Width, image.Height);
var labels = new int[image.Width, image.Height];
var superpixelColors = new int[numOfPixels];
var pixelCount = new int[numOfPixels];
for (int i = 0; i < image.Width; i++)
{
for (int j = 0; j < image.Height; j++)
{
labels[i, j] = 1 + i / regionSize + (image.Width / regionSize) * (j / regionSize);
if ((i % regionSize == 0 || j % regionSize == 0) && (i < image.Width - 1 && j < image.Height - 1))
{
segmentedImage[i, j] = new Bgr(Color.Red);
}
}
}
for (int i = 0; i < image.Width; i++)
{
for (int j = 0; j < image.Height; j++)
{
var label = labels[i, j];
superpixelColors[label - 1] += (int)image[i, j].Intensity;
pixelCount[label - 1] += 1;
}
}
for (int i = 0; i < superpixelColors.Length; i++)
{
if (pixelCount[i] != 0)
{
superpixelColors[i] /= pixelCount[i];
}
}
for (int i = 0; i < image.Width; i++)
{
for (int j = 0; j < image.Height; j++)
{
var pixelNum = labels[i, j];
meanImage[i, j] = new Gray(superpixelColors[pixelNum - 1]);
}
}
meanImage.Save(dir + @"\" + imageName + "_meanColors.png");
segmentedImage.Save(dir + @"\" + imageName + "_segmented.png");
}
private void splineToolStripMenuItem_Click(object sender, EventArgs e)
{
img1_gp = gaussianPyr(img1);
img2_gp = gaussianPyr(img2);
img1_lp = laplacianPyr(img1, img1_gp);
img2_lp = laplacianPyr(img2, img2_gp);
lap = new Image <Bgr, byte> [dim];
Image <Bgr, byte> iml, imr, imf;
for (int k = 0; k < dim - 1; k++)
{
iml = img1_lp[k];
imr = img2_lp[k];
imf = new Image <Bgr, byte>(iml.Height, iml.Width);
for (int i = 0; i < imf.Height; i++)
{
for (int j = 0; j < imf.Width; j++)
{
//if (i < Math.Pow(2, Math.Log - 1))
if (j < imf.Height / 2)
{
imf[i, j] = iml[i, j];
}
else if (j == imf.Height / 2)
{
imf[i, j] = new Bgr((iml[i, j].Blue + imr[i, j].Blue) / 2, (iml[i, j].Green + imr[i, j].Green) / 2, (iml[i, j].Red + imr[i, j].Red) / 2);
}
else
{
imf[i, j] = imr[i, j];
}
}
}
lap[k] = imf;
}
Image <Bgr, byte>[] fimg = lap;
for (int k = dim - 2; k > 0; k--)
{
Image <Bgr, byte> temp = new Image <Bgr, byte>(fimg[k - 1].Height, fimg[k - 1].Width);
//fimg[k - 1] = addImage(fimg[k - 1], expand(fimg[k]));
CvInvoke.cvPyrUp(fimg[k], temp, FILTER_TYPE.CV_GAUSSIAN_5x5);
fimg[k - 1] = fimg[k - 1] + temp;
}
fimg[0]._EqualizeHist();
imageBox3.Image = fimg[0];
}
public static void TestImageToArray()
{
Image <Bgr, byte> img = new Image <Bgr, byte>(640, 480);
img[5, 5] = new Bgr(128, 64, 32);
var arr = img.ToArray();
Console.WriteLine("Color image to array: " + arr[0, 5, 5] + " " + arr[1, 5, 5] + " " + arr[2, 5, 5]);
/*Debug.Assert(arr[5, 5, 0] == 128 &&
* arr[5, 5, 1] == 64 &&
* arr[5, 5, 2] == 32);*/
}
/// <summary>
/// Swaps the channels for an image provided by a url.
/// </summary>
/// <param name="order">Channel ordering. Each value has to be [0..2] range.</param>
/// <param name="imgUrl">Image url.</param>
/// <returns>Processed image.</returns>
public Bgr <byte>[,] SwapImageChannels(Uri imgUrl, int[] order)
{
if (order.Any(x => x < 0 || x > CHANNEL_COUNT - 1))
{
throw new ArgumentException(String.Format("Each element of the channel order must be in: [{0}..{1}] range.", 0, CHANNEL_COUNT - 1));
}
Bgr <byte>[,] image = null;
try { image = imgUrl.GetBytes().DecodeAsColorImage(); }
catch (Exception ex) { throw new Exception("The specified url does not point to a valid image.", ex); }
image.Apply(c => swapChannels(c, order), inPlace: true);
return(image);
}
private void ProcessHeadPose(string[] p, Image <Bgr, byte> curFrame)
{
MCvFont f = Font;
Features.RotationMatrix = new float[9];
Features.TranslationVector = new float[3];
for (int i = 4; i < 12; i++)
{
Features.RotationMatrix[i - 4] = Convert.ToSingle(p[i], new CultureInfo("en-GB"));
}
for (int i = 13; i < 16; i++)
{
Features.TranslationVector[i - 13] = Convert.ToSingle(p[i], new CultureInfo("en-GB"));
}
Features.SetModelPoints();
Bgr headPoseColor = new Bgr(Color.DodgerBlue);
curFrame.Draw("O(" + Convert.ToInt32(Features.ModelPoints[0].X) + ", " + Convert.ToInt32(Features.ModelPoints[0].Y) + ")",
ref f, PointFToPoint(Features.ModelPoints[0]), headPoseColor);
curFrame.Draw("X(" + Convert.ToInt32(Features.ModelPoints[1].X) + ", " + Convert.ToInt32(Features.ModelPoints[1].Y) + ")",
ref f, PointFToPoint(Features.ModelPoints[1]), headPoseColor);
curFrame.Draw("Y(" + Convert.ToInt32(Features.ModelPoints[2].X) + ", " + Convert.ToInt32(Features.ModelPoints[2].Y) + ")",
ref f, PointFToPoint(Features.ModelPoints[2]), headPoseColor);
curFrame.Draw("Z(" + Convert.ToInt32(Features.ModelPoints[3].X) + ", " + Convert.ToInt32(Features.ModelPoints[3].Y) + ")",
ref f, PointFToPoint(Features.ModelPoints[3]), headPoseColor);
foreach (PointF mp in Features.ModelPoints)
{
curFrame.Draw(new CircleF(mp, 3), headPoseColor, -1);
}
curFrame.Draw(new LineSegment2DF(Features.ModelPoints[0], Features.ModelPoints[1]), headPoseColor, 2);
curFrame.Draw(new LineSegment2DF(Features.ModelPoints[0], Features.ModelPoints[2]), headPoseColor, 2);
curFrame.Draw(new LineSegment2DF(Features.ModelPoints[0], Features.ModelPoints[3]), headPoseColor, 2);
Features.Distance = Convert.ToSingle(p[16], new CultureInfo("en-GB"));
Rectangle r1 = new Rectangle(0, curFrame.Height - 30, curFrame.Width, curFrame.Height);
Rectangle r2 = new Rectangle(0, curFrame.Height - 30, Convert.ToInt32(Features.Distance * curFrame.Width), curFrame.Height);
curFrame.Draw(r1, new Bgr(Color.LightGray), -1);
curFrame.Draw(r2, new Bgr(Color.Red), -1);
curFrame.Draw("Distance: " + Convert.ToInt32(Features.Distance * 100.0) + "%", ref f, new Point(10, curFrame.Height - 7), new Bgr(0, 0, 0));
MainWindow.MapUC.MyMap.ZoomLevel = Math.Round(((1.0 - Features.Distance) * MainWindow.MapUC.SliderZoom.Maximum) / 2.0, 0) * 2;
}
public Image <Bgr, byte> editBiScale(Image <Bgr, byte> sourceImage, double k)
{
Image <Bgr, byte> scaleImg = new Image <Bgr, byte>((int)(sourceImage.Width * k), (int)(sourceImage.Height * k));
for (int i = 0; i < scaleImg.Width - 1; i++)
{
for (int j = 0; j < scaleImg.Height - 1; j++)
{
double I = (i / k);
double J = (j / k);
double baseI = Math.Floor(I);
double baseJ = Math.Floor(J);
if (baseI >= sourceImage.Width - 1)
{
continue;
}
if (baseJ >= sourceImage.Height - 1)
{
continue;
}
double rI = I - baseI;
double rJ = J - baseJ;
double irI = 1 - rI;
double irJ = 1 - rJ;
Bgr c1 = new Bgr();
c1.Blue = sourceImage.Data[(int)baseJ, (int)baseI, 0] * irI + sourceImage.Data[(int)baseJ, (int)baseI + 1, 0] * rI;
c1.Green = sourceImage.Data[(int)baseJ, (int)baseI, 1] * irI + sourceImage.Data[(int)baseJ, (int)baseI + 1, 1] * rI;
c1.Red = sourceImage.Data[(int)baseJ, (int)baseI, 2] * irI + sourceImage.Data[(int)baseJ, (int)baseI + 1, 2] * rI;
Bgr c2 = new Bgr();
c2.Blue = sourceImage.Data[(int)(baseJ + 1), (int)baseI, 0] * irI + sourceImage.Data[(int)(baseJ + 1), (int)baseI + 1, 0] * rI;
c2.Green = sourceImage.Data[(int)(baseJ + 1), (int)baseI, 1] * irI + sourceImage.Data[(int)(baseJ + 1), (int)baseI + 1, 1] * rI;
c2.Red = sourceImage.Data[(int)(baseJ + 1), (int)baseI, 2] * irI + sourceImage.Data[(int)(baseJ + 1), (int)baseI + 1, 2] * rI;
Bgr c = new Bgr();
c.Blue = c1.Blue * irJ + c2.Blue * rJ;
c.Green = c1.Green * irJ + c2.Green * rJ;
c.Red = c1.Red * irJ + c2.Red * rJ;
scaleImg[j, i] = c;
}
}
return(scaleImg);
}
public void DetectBackgroundTest()
{
//var path1 = "PicassoUnitTest/DetectBackgroundTest/14-211-222.png";
//var path1 = "PicassoUnitTest/DetectBackgroundTest/107-183-51.png";
var path1 = "PicassoUnitTest/DetectBackgroundTest/249-238-32.png";
var filepath1 = Path.Combine(Drive.GetDriveRoot(), path1);
Bitmap image1 = new Bitmap(filepath1);
Bgr expectedBackGround = new Bgr(249, 238, 32);
Bgr actualBackGround = Picasso.Heuristics.DetectBackground(image1, 10);
Assert.IsTrue(Picasso.Utility.IsEqual(expectedBackGround, actualBackGround));
}
public static void ApplyLut(ref double[,] source, out Emgu.CV.Image <Bgr, Byte> destination)
{
destination = new Image <Bgr, Byte>(source.GetLength(0), source.GetLength(1));
for (int y = 0; y < source.GetLength(1); y++)
{
for (int x = 0; x < source.GetLength(0); x++)
{
var cId = Convert.ToInt32(source[y, x]);
destination[y, x] = new Bgr(Colors[cId, 0], Colors[cId, 1], Colors[cId, 2]);
}
}
}
public static void Main()
{
var sourceName = String.Empty;
//video over pipe (direct link and Youtube) (do not support seek)
//var pipeName = new Uri("http://trailers.divx.com/divx_prod/divx_plus_hd_showcase/BigBuckBunny_DivX_HD720p_ASP.divx").NamedPipeFromVideoUri(); //web-video
var pipeName = new Uri("https://www.youtube.com/watch?v=Vpg9yizPP_g").NamedPipeFromYoutubeUri(); //Youtube
sourceName = String.Format(@"\\.\pipe\{0}", pipeName);
//video http link (Supports seek)
//sourceName = "http://clips.vorwaerts-gmbh.de/big_buck_bunny.mp4";
//---------------------------------------------
ImageStreamReader reader = new FileCapture(sourceName);
reader.Open();
//seek if you can
if (reader.CanSeek)
{
reader.Seek((int)(reader.Length * 0.25), System.IO.SeekOrigin.Begin);
}
//read video frames
Bgr <byte>[,] frame = null;
while (true)
{
reader.ReadTo(ref frame);
if (frame == null)
{
break;
}
frame.Show(scaleForm: true);
((double)reader.Position / reader.Length).Progress();
}
Console.WriteLine("The end.");
//---------------------------------------------------------------------------
UI.CloseAll();
Console.WriteLine("Downloading video...");
string fileExtension;
var downloadPipeName = new Uri("https://www.youtube.com/watch?v=Vpg9yizPP_g").NamedPipeFromYoutubeUri(out fileExtension); //Youtube
downloadPipeName.SaveNamedPipeStream("out" + fileExtension);
Console.WriteLine("Video saved.");
Process.Start("out" + fileExtension); //open local file
}
private void button2_Click(object sender, EventArgs e)
{
if ((textBox1.Text.Length == 0) || (textBox2.Text.Length == 0))
{
MessageBox.Show("You must enter player or team name", "Error!", MessageBoxButtons.OK, MessageBoxIcon.Asterisk);
return;
}
if (textBox1.Text == textBox2.Text)
{
MessageBox.Show("Player names can't be same", "Error!", MessageBoxButtons.OK, MessageBoxIcon.Asterisk);
return;
}
String fnames = @"\^";
if (Regex.IsMatch(textBox1.Text, fnames) || Regex.IsMatch(textBox2.Text, fnames))
{
MessageBox.Show("Player names can't have symbol \"^\" !", "Error!", MessageBoxButtons.OK, MessageBoxIcon.Asterisk);
return;
}
Global.text = AddNames.Ret_names(textBox1.Text, textBox2.Text);
Image <Bgr, byte> lll = new Image <Bgr, byte>(50, 50, new Bgr(trackBar1.Value, trackBar2.Value, trackBar3.Value));
Mat ll = lll.Mat;
CvInvoke.CvtColor(ll, ll, Emgu.CV.CvEnum.ColorConversion.Bgr2Hsv);
Bgr color = (ll.ToImage <Bgr, byte>())[20, 20];
Global.colors = new Col(color.Blue, color.Green, color.Red);
OpenFileDialog opf = new OpenFileDialog
{
Filter = "Video files | *.avi; *.mp4; *.mov"
};
if (opf.ShowDialog() == DialogResult.OK)
{
Global.name = opf;
}
else
{
return;
}
Global.videoFromFile = true;
Global.cancel = false;
this.Close();
}
private void Config()
{
var bgrImage = new Image <Bgr, byte>(HueColor.Size);
for (int y = 0; y < bgrImage.Height; y++)
{
for (int x = 0; x < bgrImage.Width; x++)
{
bgrImage[y, x] = new Bgr(Color.White);
}
}
hueImage = bgrImage.Convert <Hsv, byte>();
HueColor.Image = hueImage;
}
public unsafe void ValueType()
{
var ptr = stackalloc Bgr[1];
*ptr = new Bgr {
B = 1, G = 2, R = 3
};
Unsafe.Write(ptr, new Bgr {
B = 11, G = 22, R = 33
});
Assert.Equal(11, ptr[0].B);
Assert.Equal(22, ptr[0].G);
Assert.Equal(33, ptr[0].R);
}
Image <Bgr, Byte> yCbCrThreshold(Image <Bgr, Byte> originalImage)
{
Image <Bgr, Byte> newImage = new Image <Bgr, byte>(originalImage.Width, originalImage.Height);
for (int Y = 0; Y < originalImage.Height; Y++)
{
for (int X = 0; X < originalImage.Width; X++)
{
double rRaw = originalImage[Y, X].Red;
double gRaw = originalImage[Y, X].Green;
double bRaw = originalImage[Y, X].Blue;
double r = rRaw / 255;
double g = gRaw / 255;
double b = bRaw / 255;
double y = 0.299 * r + 0.587 * g + 0.114 * b;
double cB = -0.168736 * r + -0.331264 * g + 0.500 * b;
double cR = 0.500 * r + -0.418688 * g + -0.081312 * b;
bool isFire = false;
if (y >= cR && cR >= cB)
{
double crcb = cR - cB;
double ycb = y - cB;
if (!((crcb >= -0.1 && ycb >= -0.1 && ycb <= 0.3) || (crcb >= 0 && crcb <= 0.4 && ycb >= 0 && ycb <= 0.8)))
{
isFire = true;
}
}
if (isFire)
{
isFire = !(cR - cB > -0.1 && y - cB > -0.1 && y - cB <= 0.6);
}
if (isFire)
{
newImage[Y, X] = originalImage[Y, X];
}
else
{
newImage[Y, X] = new Bgr(0, 0, 0);
}
}
}
return(newImage);
}
public void IsEqualTest()
{
// Create equal and not equal colors and ensure the IsEqual Methods returns values as expected
Console.WriteLine("Starting Picasso.Utility.IsEqual method testing");
var color_a = new Bgr(0, 0, 255);
var color_b = new Bgr(Color.Red);
var color_c = new Bgr(Color.Green);
Assert.IsTrue(Utility.IsEqual(color_a, color_b));
Assert.IsFalse(Utility.IsEqual(color_a, color_c));
Assert.IsFalse(Utility.IsEqual(color_b, color_c));
Console.WriteLine("Successfully completed Picasso.Utility.IsEqual Test");
}
/// <summary>
/// Image Negative using EmguCV library
/// Slower method
/// </summary>
/// <param name="img">Image</param>
internal static void Negative(Image <Bgr, byte> img)
{
Bgr aux;
for (int y = 0; y < img.Height; y++)
{
for (int x = 0; x < img.Width; x++)
{
// emguCV access: slower
aux = img[y, x];
img[y, x] = new Bgr(255 - aux.Blue, 255 - aux.Green, 255 - aux.Red);
}
}
}
private void pictureBox2_MouseDown(object sender, MouseEventArgs e)
{
Image <Bgr, byte> img = new Image <Bgr, byte>(bgr_img.Bitmap).Resize(pictureBox2.Width, pictureBox2.Height, Emgu.CV.CvEnum.Inter.Area);
//获取imagebox1 控件的图片，并重置大小与控件的大小一致。
Bgr color = img[e.Y, e.X];
//获得鼠标点击位置的坐标。
label1.Text = color.ToString();
//显示颜色的数值。
Image <Bgr, byte> img1 = new Image <Bgr, byte>(imageBox2.Width, imageBox2.Height, color);
//以固定颜色创建一张图片，并显示在ImageBox2。用于再次确定颜色是否正确。
pictureBox1.Image = img1.Bitmap;
}
public TrackingControl()
{
InitializeComponent();
//The following detector types are supported: "MIL" – TrackerMIL; "BOOSTING" – TrackerBoosting
_trackingDetector = new TrackingDetector("MIL");
_camshiftDetector = new CamshiftDetector();
_bgrRed = new Bgr(Color.Red);
_bgrBlue = new Bgr(Color.Blue);
_imageBoxSelector = new ImageBoxSelector();
this.Load += TrackingControl_Load;
}
/// <summary>
/// Flood fill in a BFS manner, so as not to overwhelm the stack
/// </summary>
/// <param name="image">the image we wish to fill on</param>
/// <param name="xpixel">the x pixel to sample from</param>
/// <param name="ypixel">the y pixel to sample from</param>
/// <param name="threshold">the threshold of difference</param>
/// <returns>the background which can be subtracted</returns>
public static Bitmap FloodFill(Bitmap image, int xpixel, int ypixel, double threshold)
{
//create an identically sized "background" image and fill it white
Emgu.CV.Image <Bgr, Byte> imBackground = new Image <Bgr, byte>(image.Width, image.Height);
Emgu.CV.Image <Bgr, Byte> imImage = new Image <Bgr, byte>(image);
Bgr bgrTarget = imImage[xpixel, ypixel];
Bgr color = new Bgr(255, 255, 255);
Bgr white = new Bgr(255, 255, 255);
for (int ii = 0; ii < image.Width; ii++)
{
for (int jj = 0; jj < image.Height; jj++)
{
imBackground[jj, ii] = white;
}
}
Queue <System.Drawing.Point> pointQueue = new Queue <System.Drawing.Point>();
pointQueue.Enqueue(new System.Drawing.Point(xpixel, ypixel));
Bgr gray = new Bgr(Color.Gray);
Bgr mask_color = new Bgr(MASK_COLOR);
System.Drawing.Point[] pList = new System.Drawing.Point[4];
log.Info("Being iterative flood fill");
while (!(pointQueue.Count == 0)) //make sure queue isn't empty
{
System.Drawing.Point p = pointQueue.Dequeue();
//add all neighboring points to the a list
pList[0] = (new System.Drawing.Point(p.X, p.Y - 1)); //above
pList[1] = (new System.Drawing.Point(p.X, p.Y + 1)); //below
pList[2] = (new System.Drawing.Point(p.X - 1, p.Y)); //left
pList[3] = (new System.Drawing.Point(p.X + 1, p.Y)); //right
foreach (System.Drawing.Point neighbor in pList)
{
if (!(Utility.IsBound(image, neighbor.X, neighbor.Y)))
{
continue;
}
color = imBackground[neighbor.Y, neighbor.X];
if (Utility.IsEqual(white, color) && (Utility.Distance(imImage[neighbor.Y, neighbor.X], bgrTarget) < threshold)) //and hasn't been seen before
{
imBackground[neighbor.Y, neighbor.X] = gray; //set as added to the queue
pointQueue.Enqueue(neighbor); //and add to the queue
}
}
imBackground[p.Y, p.X] = mask_color; //set the pixel to hot pink
}
return(imBackground.ToBitmap());
}
static void Scan(Image <Bgr, byte> img, Image <Bgr, byte> result, int COLOR_DIFF, int DIST)
{
Bgr c1, c2;
for (int i = 0; i < img.Rows; i++)
{
int flagj = 0;
for (int j = 0; j < img.Cols && j < img.Cols - 1; j++)
{
c1 = img[i, j];
c2 = img[i, j + 1];
if (Math.Pow(Math.Pow(c1.Blue - c2.Blue, 2) + Math.Pow(c1.Green - c2.Green, 2) + Math.Pow(c1.Red - c2.Red, 2), 0.5) <= COLOR_DIFF)
{
flagj++;
}
else if (flagj >= DIST)
{
//cout << "find edge " << j << "," << i << endl;
//result.at<Vec3b>(i, j).val[0] = 0;
//result.at<Vec3b>(i, j).val[1] = 0;
//result.at<Vec3b>(i, j).val[2] = 255;
result[i, j] = new Bgr(0, 0, 255);
flagj = 0;
}
}
}
for (int j = 0; j < img.Cols; j++)
{
int flagi = 0;
for (int i = 0; i < img.Rows && i < img.Rows - 1; i++)
{
c1 = img[i, j];
c2 = img[i + 1, j];
if (Math.Pow(3 * Math.Pow(c1.Blue - c2.Blue, 2) + 4 * Math.Pow(c1.Green - c2.Green, 2) + 2 * Math.Pow(c1.Red - c2.Red, 2), 0.5) <= COLOR_DIFF)
{
flagi++;
}
else if (flagi >= DIST)
{
//result.at<Vec3b>(i, j).val[0] = 0;
//result.at<Vec3b>(i, j).val[1] = 0;
//result.at<Vec3b>(i, j).val[2] = 255;
result[i, j] = new Bgr(0, 0, 255);
flagi = 0;
}
}
}
//CvInvoke.Imshow("scan", result);
}
private Image <Bgr, byte> CreateMargedImage(
Image <Bgr, byte> firstImage, Image <Bgr, byte> secondImage,
Dictionary <KeyPoint, KeyPoint> pairs, KeyPairsTriangle ransacTriangle)
{
// Marge image.
var margedImageWidth = firstImage.Width + secondImage.Width;
var margedImageHeight = Math.Max(firstImage.Height, secondImage.Height);
var imageResult = new Image <Bgr, byte>(margedImageWidth, margedImageHeight)
{
ROI = new Rectangle(0, 0, firstImage.Width, firstImage.Height)
};
firstImage.CopyTo(imageResult);
imageResult.ROI = new Rectangle(firstImage.Width, 0, secondImage.Width, secondImage.Height);
secondImage.CopyTo(imageResult);
imageResult.ROI = Rectangle.Empty;
// Use Ransac.
if (ransacTriangle != null)
{
var firstTriangle = ransacTriangle.GetFirstTriangle();
var secondTriangle = ransacTriangle.GetSecondTriangle();
var triangleColor = new Bgr(Color.Black).MCvScalar;
CvInvoke.Line(imageResult, firstTriangle[0], firstTriangle[1], triangleColor, 2);
CvInvoke.Line(imageResult, firstTriangle[1], firstTriangle[2], triangleColor, 2);
CvInvoke.Line(imageResult, firstTriangle[2], firstTriangle[0], triangleColor, 2);
CvInvoke.Line(imageResult, secondTriangle[0].ChangeOffset(firstImage.Width),
secondTriangle[1].ChangeOffset(firstImage.Width), triangleColor, 2);
CvInvoke.Line(imageResult, secondTriangle[1].ChangeOffset(firstImage.Width),
secondTriangle[2].ChangeOffset(firstImage.Width), triangleColor, 2);
CvInvoke.Line(imageResult, secondTriangle[2].ChangeOffset(firstImage.Width),
secondTriangle[0].ChangeOffset(firstImage.Width), triangleColor, 2);
}
// Draw lines.
foreach (var _pair in pairs)
{
var start = new Point((int)_pair.Key.X, (int)_pair.Key.Y);
var second = new Point((int)_pair.Value.X + firstImage.Width, (int)_pair.Value.Y);
CvInvoke.Line(imageResult, start, second, new Bgr(_pair.Key.Color).MCvScalar, 1);
}
return(imageResult);
}
public Image <Bgr, byte> resizeimage(Image <Bgr, byte> image, double k1, double k2)
{
Image <Bgr, byte> resizedimage = new Image <Bgr, byte>((int)(image.Width * k1), (int)(image.Height * k2));
for (int i = 0; i < resizedimage.Width - 1; i++)
{
for (int j = 0; j < resizedimage.Height - 1; j++)
{
double I = (i / k1);
double J = (j / k2);
double baseI = Math.Floor(I);
double baseJ = Math.Floor(J);
if (baseI >= image.Width - 1)
{
continue;
}
if (baseJ >= image.Height - 1)
{
continue;
}
double rI = I - baseI;
double rJ = J - baseJ;
double irI = 1 - rI;
double irJ = 1 - rJ;
Bgr c1 = new Bgr();
c1.Blue = image.Data[(int)baseJ, (int)baseI, 0] * irI + image.Data[(int)baseJ, (int)(baseI + 1), 0] * rI;
c1.Green = image.Data[(int)baseJ, (int)baseI, 1] * irI + image.Data[(int)baseJ, (int)(baseI + 1), 1] * rI;
c1.Red = image.Data[(int)baseJ, (int)baseI, 2] * irI + image.Data[(int)baseJ, (int)(baseI + 1), 2] * rI;
Bgr c2 = new Bgr();
c2.Blue = image.Data[(int)(baseJ + 1), (int)baseI, 0] * irI + image.Data[(int)(baseJ + 1), (int)(baseI + 1), 0] * rI;
c2.Green = image.Data[(int)(baseJ + 1), (int)baseI, 1] * irI + image.Data[(int)(baseJ + 1), (int)(baseI + 1), 1] * rI;
c2.Red = image.Data[(int)(baseJ + 1), (int)baseI, 2] * irI + image.Data[(int)(baseJ + 1), (int)(baseI + 1), 2] * rI;
Bgr c = new Bgr();
c.Blue = c1.Blue * irJ + c2.Blue * rJ;
c.Green = c1.Green * irJ + c2.Green * rJ;
c.Red = c1.Red * irJ + c2.Red * rJ;
resizedimage[j, i] = c;
}
}
return(resizedimage);
}
private void Application_Idle(object sender, EventArgs e)
{
Mat a = cap.QueryFrame();
if (a != null)
{
System.Threading.Thread.Sleep((int)(1000.0 / fps - 5));
imageBox1.Image = a;
GC.Collect();
}
if (a != null)
{
textBox1.Text = "";
pictureBox1.Image = imageBox1.Image.Bitmap;
Bgr drawColor = new Bgr(Color.Blue);
try
{
Image <Bgr, Byte> image = new Image <Bgr, byte>(new Bitmap(pictureBox1.Image));
Image <Gray, byte> gray = image.Convert <Gray, Byte>();
CvInvoke.GaussianBlur(gray, gray, new Size(3, 3), 1);
gray._EqualizeHist();//均衡化
using (gray)
{
_ocr.SetImage(gray);
_ocr.Recognize();
Tesseract.Character[] charactors = _ocr.GetCharacters();
foreach (Tesseract.Character c in charactors)
{
image.Draw(c.Region, drawColor, 1);
}
imageBox1.Image = image;
String text = _ocr.GetUTF8Text();
label1.Text = text;
for (int i = 0; i < charactors.Length; i++)
{
this.textBox1.Text += charactors[i].Text;
}
}
}
catch (Exception exception)
{
MessageBox.Show(exception.Message);
}
}
}
public void TestKMeans()
{
int clustersCount = 5;
int sampleCount = 300;
int imageSize = 500;
Bgr[] colors = new Bgr[] {
new Bgr(0, 0, 255),
new Bgr(0, 255, 0),
new Bgr(255, 100, 100),
new Bgr(255, 0, 255),
new Bgr(0, 255, 255)
};
Image <Bgr, Byte> image = new Image <Bgr, byte>(imageSize, imageSize);
#region generate random samples
Matrix <float> points = new Matrix <float>(sampleCount, 1, 2);
Matrix <int> clusters = new Matrix <int>(sampleCount, 1);
Random r = new Random();
for (int i = 0; i < clustersCount; i++)
{
Matrix <float> row = points.GetRows(i * (sampleCount / clustersCount), (i + 1) * (sampleCount / clustersCount), 1);
row.SetRandNormal(new MCvScalar(r.Next() % imageSize, r.Next() % imageSize), new MCvScalar((r.Next() % imageSize) / 6, (r.Next() % imageSize) / 6));
}
using (ScalarArray ia = new ScalarArray(new MCvScalar()))
{
CvInvoke.AbsDiff(points, ia, points);
}
CvInvoke.RandShuffle(points, 1.0, 0);
#endregion
CvInvoke.Kmeans(
points,
2,
clusters,
new MCvTermCriteria(10, 1.0),
5,
CvEnum.KMeansInitType.PPCenters);
for (int i = 0; i < sampleCount; i++)
{
PointF p = new PointF(points.Data[i, 0], points.Data[i, 1]);
image.Draw(new CircleF(p, 1.0f), colors[clusters[i, 0]], 1);
}
//Emgu.CV.UI.ImageViewer.Show(image);
}
static void DoKmeans(string imagePath)
{
Bgr[] clusterColors = new Bgr[] {
new Bgr(0, 0, 255),
new Bgr(0, 255, 0),
new Bgr(255, 100, 100),
new Bgr(255, 0, 255),
new Bgr(133, 0, 99),
new Bgr(130, 12, 49),
new Bgr(0, 255, 255)
};
var srcImage = new Image <Bgr, float>(imagePath);
Matrix <float> samples = new Matrix <float>(srcImage.Rows * srcImage.Cols, 1, 3);
Matrix <int> finalClusters = new Matrix <int>(srcImage.Rows * srcImage.Cols, 1);
for (int y = 0; y < srcImage.Rows; y++)
{
for (int x = 0; x < srcImage.Cols; x++)
{
samples.Data[y + x * srcImage.Rows, 0] = (float)srcImage[y, x].Blue;
samples.Data[y + x * srcImage.Rows, 1] = (float)srcImage[y, x].Green;
samples.Data[y + x * srcImage.Rows, 2] = (float)srcImage[y, x].Red;
}
}
MCvTermCriteria term = new MCvTermCriteria(100, 0.5)
{
Type = TermCritType.Eps | TermCritType.Iter
};
int clusterCount = 5;
int attempts = 5;
CvInvoke.Kmeans(samples, clusterCount, finalClusters, term, attempts, KMeansInitType.PPCenters);
Image <Bgr, float> outputImage = new Image <Bgr, float>(srcImage.Size);
for (int y = 0; y < srcImage.Rows; y++)
{
for (int x = 0; x < srcImage.Cols; x++)
{
PointF p = new PointF(x, y);
outputImage.Draw(new CircleF(p, 1.0f), clusterColors[finalClusters[y + x * srcImage.Rows, 0]], 1);
}
}
outputImage.Save($"kmeans-{imagePath}");
}
public FormGroupMatch()
{
InitializeComponent();
debugImage = new Bgr <byte> [pictureBox.Height, pictureBox.Width];
var detections = getDetections();
drawDetections(detections, Bgr <byte> .Red, 1);
groupMatching = new RectangleClustering();
var clusters = groupMatching.Group(detections);
drawDetections(clusters.Select(x => x.Representative), Bgr <byte> .Green, 3);
pictureBox.Image = debugImage.ToBitmap();
}
private void button2_Click(object sender, EventArgs e)
{
double blue_min = double.Parse(txt_BlueMin.Text);
double blue_max = double.Parse(txt_BlueMax.Text);
double green_min = double.Parse(txt_GreenMin.Text);
double green_max = double.Parse(txt_GreenMax.Text);
double red_min = double.Parse(txt_RedMin.Text);
double red_max = double.Parse(txt_RedMax.Text);
Bgr min = new Bgr(blue_min, green_min, red_min); //黄色的最小值，允许一定的误差。
Bgr max = new Bgr(blue_max, green_max, red_max); //黄色的最大值，允许一定的误差。
Image <Gray, byte> result = bgr_img.InRange(min, max); //进行颜色提取。
pictureBox2.Image = bgr_img.Bitmap; //显示输入图像。
imageBox2.Image = result; //显示提取颜色区域。
}
// compare two Emgu CV colors using ColorMine, an API for C#
public static int colorDifference(Bgr c1, Bgr c2)
{
var myRGB1 = new ColorMine.ColorSpaces.Rgb { R = c1.Red, G = c1.Green, B = c1.Blue };
var myRGB2 = new ColorMine.ColorSpaces.Rgb { R = c2.Red, G = c2.Green, B = c2.Blue };
return (int)myRGB1.Compare(myRGB2, new Cie1976Comparison());
}
