// Background Subtraction From the Given Background and Input Image
public void removebackground(string filepath = null)
{
CvInvoke.Imshow("1- Background Image", bgImage);
CvInvoke.Imshow("2- Forground Image", img);
Image <Gray, byte> output = new Image <Gray, byte>(bgImage.Width, bgImage.Height);
BackgroundSubtractorMOG2 bgsubtractor = new BackgroundSubtractorMOG2(varThreshold: 100, shadowDetection: false);
bgsubtractor.Apply(bgImage, output);
bgsubtractor.Apply(img, output);
pictureViewBox.Image = output;
CvInvoke.Imshow("3- Background Subtracted", output);
//output.Canny(100,100);
CvInvoke.Erode(output, output, null, new System.Drawing.Point(-1, -1), 1, BorderType.Reflect, default(MCvScalar));
CvInvoke.Imshow("4- After Applying Erode", output);
CvInvoke.Dilate(output, output, null, new System.Drawing.Point(-1, -1), 5, BorderType.Reflect, default(MCvScalar));
CvInvoke.Imshow("5- After Dilation", output);
// Write the Silhoutte output to the file
if (filepath != null && saveResults == true)
{
CvInvoke.Imwrite(outputFolder + "bg_subtract_" + filepath, output);
}
// finding the Bounding Box of the Person
frm = new PersonFrame();
Rectangle rec = frm.findBoundry(output);
// Using Thinning Algorithm on Silhoutte
Image <Gray, byte> thinOutput = new Image <Gray, byte>(output.Width, output.Height);
XImgprocInvoke.Thinning(output, thinOutput, ThinningTypes.ZhangSuen);
pictureViewBox.Image = thinOutput.Not().Not();
CvInvoke.Imshow("6- After Thinning Zhang Suen", thinOutput);
// Write the thinned Image to the file
if (filepath != null && saveResults == true)
{
CvInvoke.Imwrite(outputFolder + "thinned_" + filepath, thinOutput.Not().Not());
}
// drawing bounding Box of the person
CvInvoke.Rectangle(thinOutput, rec, new Rgb(Color.White).MCvScalar, 2);
CvInvoke.Imshow("Person Bounding Box", thinOutput);
// drawing the middle line of the Person
//CvInvoke.Line(thinOutput, frm.middle_line.p1, frm.middle_line.p2, new Rgb(Color.White).MCvScalar, 2);
// Display the Image
//CvInvoke.Imshow("Person Fame", thinOutput);
// Applying Hough Line Transformation
Hough(thinOutput, filepath);
img.Dispose();
output.Dispose();
thinOutput.Dispose();
}
public static Emgu.CV.Image <Gray, Byte> Niblack(Emgu.CV.Image <Gray, Byte> oldImg)
{
Emgu.CV.Image <Gray, Byte> afterBinarization = new Emgu.CV.Image <Gray, Byte>(oldImg.Width, oldImg.Height, new Gray(0));
XImgprocInvoke.NiBlackThreshold(oldImg, afterBinarization, 255, 0, 71, -1.5);
MessageBox.Show("Wykonano.");
return(afterBinarization);
}
public void Thining()
{
Image <Gray, Byte> sourceImage = new Image <Gray, byte>((Bitmap)pictureBox1.Image);
Image <Gray, Byte> dstImage = new Image <Gray, Byte>(sourceImage.Width, sourceImage.Height);
XImgprocInvoke.Thinning(sourceImage, dstImage, ThinningTypes.ZhangSuen);
pictureBox1.Image = dstImage.ToBitmap();
maxBmpLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
HistogramOperations.clearHistogram(chart1);
histoTab = HistogramOperations.drawHistogram(chart1, pictureBox1.Image, maxBmpLevel);
}
private void Thinning_Click(object sender, EventArgs e)
{
Mat mat = imageEmgu.Mat;
Mat metGrey = imageEmgu.Mat;
Mat metGeryOutput = new Mat();
ElementShape elementShape = elementShapee;
CvInvoke.CvtColor(mat, metGrey, Emgu.CV.CvEnum.ColorConversion.Bgr2Gray);
Mat structuringElement = CvInvoke.GetStructuringElement(elementShape, new Size(3, 3), new Point(1, 1));
XImgprocInvoke.Thinning(metGrey, metGeryOutput, ThinningTypes.GuoHall);
// CvInvoke.MorphologyEx(metGrey, metGeryOutput, MorphOp.Open, structuringElement, new System.Drawing.Point(1, 1), 2, BorderType.Isolated, CvInvoke.MorphologyDefaultBorderValue);
ImagePostBox.Image = metGeryOutput.ToImage <Bgr, byte>().Bitmap;
ImagePostBox.SizeMode = PictureBoxSizeMode.StretchImage;
}
