public static void Main(string[] args)
{
Resource R1 = new Resource();
Resource R2 = new Resource();
Thr1 obj1 = new Thr1(R1, R2);
Thread one = new Thread(obj1.operation);
one.Start();
Thr2 obj2 = new Thr2(R1, R2);
Thread two = new Thread(obj2.operation);
two.Start();
}
//Red Segmentation
public static BitmapSource Procred(BitmapSource Image)
{
//Checks to see if there is an image
if (Image != null)
{
//Converts to image<>
MemoryStream Stream = new MemoryStream();
BitmapEncoder encoded = new BmpBitmapEncoder();
encoded.Frames.Add(BitmapFrame.Create(Image));
encoded.Save(Stream);
System.Drawing.Bitmap myBmp = new System.Drawing.Bitmap(Stream); //Casts image to bitmap
Image <Hsv, Byte> processed = new Image <Hsv, Byte>(myBmp); //Casts bitmap to image<Hsv, byte>
//Main processing
CvInvoke.Flip(processed, processed, Emgu.CV.CvEnum.FlipType.Horizontal); //Flips the image in the horizontal
Image <Gray, Byte> Thr1, Thr2; //Creates two Grayscale images that will be used when segmenting
Thr1 = processed.InRange(new Hsv(0, 120, 70), new Hsv(10, 255, 255)); //Handles first range for RED
Thr2 = processed.InRange(new Hsv(170, 120, 70), new Hsv(180, 255, 255)); //Handles second range for RED
Thr1 = Thr1 + Thr2;
//Handles noise and cleans image
Mat kernel = Mat.Ones(3, 3, Emgu.CV.CvEnum.DepthType.Cv32F, 1); //Creates 3x3 kernel for use as kernel
CvInvoke.MorphologyEx(Thr1, Thr1, Emgu.CV.CvEnum.MorphOp.Open, kernel, new System.Drawing.Point(0, 0), 1, Emgu.CV.CvEnum.BorderType.Default, new MCvScalar(1));
CvInvoke.MorphologyEx(Thr1, Thr1, Emgu.CV.CvEnum.MorphOp.Dilate, kernel, new System.Drawing.Point(0, 0), 1, Emgu.CV.CvEnum.BorderType.Default, new MCvScalar(1));
//Extracts only RED parts from orignal image
Mat Mask; //Creates Mat for converting mask to Mat
Mask = Thr1.Mat; //Casts mask to Mat
Image <Hsv, byte> Final = new Image <Hsv, byte>(processed.Width, processed.Height); //Creates Image<Hsv,byte> for final processed image
CvInvoke.BitwiseAnd(processed, processed, Final, Mask); //ANDS mask with orignal image to retain only portions that are RED
//Cleanup
Mask.Dispose();
Thr1.Dispose();
Thr2.Dispose();
Stream.Dispose();
myBmp.Dispose();
return(BitmapSourceConvert.ToBitmapSource(Final)); //Returns processed image
}
else
{
return(null);
}
}
//Red Segmentation
public static BitmapSource Procred(BitmapSource Image)
{
//Checks to see if there is an image
if (Image != null)
{
//Converts to image<>
MemoryStream Stream = new MemoryStream();
BitmapEncoder encoded = new BmpBitmapEncoder();
encoded.Frames.Add(BitmapFrame.Create(Image));
encoded.Save(Stream);
System.Drawing.Bitmap myBmp = new System.Drawing.Bitmap(Stream); //Casts image to bitmap
Image <Hsv, Byte> processed = new Image <Hsv, Byte>(myBmp); //Casts bitmap to image<Hsv, byte>
//Main processing
CvInvoke.Flip(processed, processed, Emgu.CV.CvEnum.FlipType.Horizontal); //Flips the image in the horizontal
Image <Gray, Byte> Thr1; //Creates two Grayscale images that will be used when segmenting
Thr1 = processed.InRange(new Hsv(170, 120, 70), new Hsv(180, 255, 255)); //Handles second range for RED
//Handles noise and cleans image
Mat kernel = Mat.Ones(3, 3, Emgu.CV.CvEnum.DepthType.Cv32F, 1); //Creates 3x3 kernel for use as kernel
CvInvoke.MorphologyEx(Thr1, Thr1, Emgu.CV.CvEnum.MorphOp.Open, kernel, new System.Drawing.Point(0, 0), 1, Emgu.CV.CvEnum.BorderType.Default, new MCvScalar(1));
CvInvoke.MorphologyEx(Thr1, Thr1, Emgu.CV.CvEnum.MorphOp.Dilate, kernel, new System.Drawing.Point(0, 0), 1, Emgu.CV.CvEnum.BorderType.Default, new MCvScalar(1));
//Extracts only RED parts from orignal image
Mat Mask; //Creates Mat for converting mask to Mat
Mask = Thr1.Mat; //Casts mask to Mat
Image <Hsv, byte> Redisolated = new Image <Hsv, byte>(processed.Width, processed.Height); //Creates Image<Hsv,byte> for final processed image
//CvInvoke.BitwiseAnd(processed, processed, Redisolated, Mask); //ANDS mask with orignal image to retain only portions that are RED
//Extracts biggest blob
//Variables
double Largestarea = 0;
int Largestcontourindex = 0, X, Y;
MCvPoint2D64f Center;
Image <Gray, Byte> Centroid = new Image <Gray, Byte>(processed.Width, processed.Height);
Image <Gray, Byte> Contourdrawn = new Image <Gray, Byte>(processed.Width, processed.Height);
VectorOfVectorOfPoint Contours = new VectorOfVectorOfPoint();
Mat Hierarchy = new Mat();
//Processing
CvInvoke.FindContours(Thr1, Contours, Hierarchy, Emgu.CV.CvEnum.RetrType.Ccomp, Emgu.CV.CvEnum.ChainApproxMethod.ChainApproxSimple); //Finds contours in image
//Iterates through each contour
for (int i = 0; i < Contours.Size; i++)
{
double a = CvInvoke.ContourArea(Contours[i], false); // Find the area of contour
if (a > Largestarea)
{
Largestarea = a;
Largestcontourindex = i; //Stores the index of largest contour
//bounding_rect=boundingRect(contours[i]); // Find the bounding rectangle for biggest contour
}
}
CvInvoke.DrawContours(Contourdrawn, Contours, Largestcontourindex, new MCvScalar(255, 255, 255), 10, Emgu.CV.CvEnum.LineType.Filled, Hierarchy, 0); //Draws biggest contour on blank image
Moments moments = CvInvoke.Moments(Contourdrawn, true); //Gets the moments of the dranw contour
Center = moments.GravityCenter; //converts the moment to a center
try
{
X = Convert.ToInt32(Center.X); //Converts to integer
Y = Convert.ToInt32(Center.Y);
Debug.WriteLine("X - {0}, Y - {1}", X, Y); //Prints centre co-ords to console
CvInvoke.Circle(Centroid, new System.Drawing.Point(X, Y), 10, new MCvScalar(255, 255, 255), -1);
}
catch { Debug.WriteLine("No RED in detected"); }
//Cleanup
Mask.Dispose();
Thr1.Dispose();
Stream.Dispose();
myBmp.Dispose();
return(BitmapSourceConvert.ToBitmapSource(Centroid)); //Returns processed image
}
else
{
return(null);
}
}
