public static Bitmap Mirror(this Bitmap bitmap, bool MirrorX, bool MirrorY)
{
// create filter
AForge.Imaging.Filters.Mirror filter = new AForge.Imaging.Filters.Mirror(MirrorX, MirrorY);
// apply the filter
return(filter.Apply(bitmap));
}
private Bitmap DisplayAndTrackDrawingTool(Bitmap image)
{
//grayscale the image
AForge.Imaging.Filters.Grayscale grayscaling = new AForge.Imaging.Filters.Grayscale(
0.2125, 0.7154, 0.0721);
image = grayscaling.Apply(image);
//mirror the image
AForge.Imaging.Filters.Mirror mirrImg = new AForge.Imaging.Filters.Mirror(false, true);
mirrImg.ApplyInPlace(image);
//get biggest blob
AForge.Imaging.BlobCounter blobCounter = new AForge.Imaging.BlobCounter(image);
blobCounter.ProcessImage(image);
Rectangle[] rectsInImage = blobCounter.GetObjectsRectangles();
this.txtBoxInfo.Text = rectsInImage.Length + " blobs found.";
AForge.Imaging.Filters.ExtractBiggestBlob biggestBlob = new AForge.Imaging.Filters.ExtractBiggestBlob();
Bitmap bigstBlobImage = biggestBlob.Apply(image);
IntPoint posBiggBlob = biggestBlob.BlobPosition;
this.txtBoxInfo.Text = "Biggest Blob at: " + posBiggBlob.ToString();
//SetCursor(posBiggBlob);
GenerateGraphics(posBiggBlob);
return(image);
}
private void Button4_Click(object sender, EventArgs e)
{
Emgu.CV.Util.VectorOfPoint approx = new Emgu.CV.Util.VectorOfPoint();
Emgu.CV.Util.VectorOfVectorOfPoint vecOut = new Emgu.CV.Util.VectorOfVectorOfPoint();
CvInvoke.FindContours(cannyImage, vecOut, null, Emgu.CV.CvEnum.RetrType.External, Emgu.CV.CvEnum.ChainApproxMethod.ChainApproxSimple);
//Point defines the x-y coordinates in 2d-plane
Dictionary <int, double> dict = new Dictionary <int, double>();
AForge.IntPoint[] point = new AForge.IntPoint[4];
if (vecOut.Size > 0)
{
for (int i = 0; i < vecOut.Size; i++)
{
//calculating area of contours
double area = CvInvoke.ContourArea(vecOut[i]);
dict.Add(i, area); //adding areas in dictionary
}
var item = dict.OrderByDescending(v => v.Value);
//Preparing for perspective transformation
foreach (var it in item)
{
int key = Convert.ToInt32(it.Key.ToString());
//generating arc length wrapping the doc
double peri = CvInvoke.ArcLength(vecOut[key], true);
CvInvoke.ApproxPolyDP(vecOut[key], approx, 0.02 * peri, true);
if (approx.Size == 0)
{
}
else if (approx.Size == 4)
{
try
{
CvInvoke.DrawContours(copyImage, vecOut, key, new MCvScalar(255, 0, 0), 5);
for (int i = 0; i < approx.Size; i++)
{
point[i].X = approx[i].X;
point[i].Y = approx[i].Y;
}
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
break;
}
}
}
sheetDetectImage.Image = copyImage;
try
{
List <AForge.IntPoint> pointList = new List <AForge.IntPoint>();
for (int i = 0; i < 4; i++)
{
pointList.Add(new AForge.IntPoint(point[i].X, point[i].Y));
}
AForge.Imaging.Filters.SimpleQuadrilateralTransformation simple = new AForge.Imaging.Filters.SimpleQuadrilateralTransformation(pointList, 200, 200);
Bitmap abc1 = simple.Apply(bitmapImage);
AForge.Imaging.Filters.Mirror m = new AForge.Imaging.Filters.Mirror(false, true);
m.ApplyInPlace(abc1);
Image <Bgr, byte> newIm = new Image <Bgr, byte>(abc1);
CvInvoke.Rotate(newIm, newIm, Emgu.CV.CvEnum.RotateFlags.Rotate90CounterClockwise);
MessageBox.Show("Scanned Document");
sheetDetectImage.Image = newIm;
transformedImage = newIm.Copy();
}
catch (Exception er)
{
MessageBox.Show(er.StackTrace);
}
}
