public static Bitmap Canny(Bitmap bmp)
{
Image <Gray, Byte> Cannybmp;
Image <Gray, Byte> GrayBmp;
Image <Bgr, Byte> orig = new Image <Bgr, Byte>(bmp);
Image <Bgr, Byte> imgSmooth;
Bitmap output;
imgSmooth = orig.PyrDown().PyrUp();
imgSmooth._SmoothGaussian(3);
GrayBmp = imgSmooth.Convert <Gray, byte>();
Gray grayCannyThreshold = new Gray(80);
Gray grayThreshLinking = new Gray(160);
Cannybmp = GrayBmp.Canny(grayCannyThreshold.Intensity, grayThreshLinking.Intensity);
output = Cannybmp.ToBitmap();
return(output);
}
static void Main(string[] args)
{
var files = Directory.GetFiles(@"C:\Users\lucas\OneDrive\Imagens\receipts");
foreach (var path in files)
{
var fileName = Path.GetFileName(path);
Bitmap bmp = new Bitmap(path);
bmp.SetResolution(50, 50);
Image <Gray, Byte> GrayBmp;
Image <Bgr, Byte> orig = new Image <Bgr, Byte>(bmp);
double ratioX = (double)500 / (double)orig.Width;
double ratioY = (double)500 / (double)orig.Height;
double ratio = ratioX < ratioY ? ratioX : ratioY;
int newHeight = Convert.ToInt32(orig.Height * ratio);
int newWidth = Convert.ToInt32(orig.Width * ratio);
orig = orig.Resize(newWidth, newHeight, Emgu.CV.CvEnum.Inter.Area);
Bitmap output;
GrayBmp = orig.Convert <Gray, byte>();
GrayBmp._SmoothGaussian(3);
GrayBmp.Save(Path.Combine(@"C:\Users\lucas\OneDrive\Imagens\receipts\result\", DateTime.Now.ToString("dd-MM-yy-mm-hh-ss") + "__GRAY__" + fileName));
Gray grayCannyThreshold = new Gray(75);
Gray grayThreshLinking = new Gray(200);
var Cannybmp = GrayBmp.Canny(grayCannyThreshold.Intensity, grayThreshLinking.Intensity);
output = Cannybmp.ToBitmap();
output.Save(Path.Combine(@"C:\Users\lucas\OneDrive\Imagens\receipts\result\", DateTime.Now.ToString("dd-MM-yy-mm-hh-ss") + "__CANNY__" + fileName));
var r = Cannybmp.HoughLinesBinary(2, Math.PI / 180.0, 100, 30, 3)[0];
var biggestLines = r.OrderByDescending(x => x.Length).Take(4).ToList();
var edges = PointCollection.PolyLine(biggestLines.Select(x => (PointF)x.P1).ToArray(), true);
PointF[] f = new PointF[4];
//PointF[] srcs = new PointF[4]; //Trapezoid shape
//srcs[0] = new PointF(1, 1);
//srcs[1] = new PointF(300, 1);
//srcs[2] = new PointF(400, 150);
//srcs[3] = new PointF(100, 150);
//PointF[] dests = new PointF[4]; // Rectangle Shape
//dests[0] = new PointF(3, 3);
//dests[1] = new PointF(150, 3);
//dests[2] = new PointF(180, 200);
//dests[3] = new PointF(150, 200);
//CvInvoke.WarpPerspective
//var wr = CvInvoke.GetPerspectiveTransform(srcs, dests);
//Image<Gray, byte> transformed = Cannybmp.WarpPerspective<Mat>(
// mapMatrix: wr, width: 400, height: 200, interpolationType: Emgu.CV.CvEnum.Inter.Cubic,
//warpType: Emgu.CV.CvEnum.Warp.Default, borderType: Emgu.CV.CvEnum.BorderType.Default, backgroundColor: new Gray(5));
Cannybmp.DrawPolyline(biggestLines.Select(x => x.P1).ToArray(), true, new Gray(100));
//output.Save(Path.Combine(@"C:\Users\lucas\OneDrive\Imagens\receipts\result\", DateTime.Now.ToString("dd-MM-yy-mm-hh-ss") + "__DRAW__" + fileName));
Mat hierarchy = new Mat();
VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint();
VectorOfPoint screenCnt;
CvInvoke.FindContours(Cannybmp.Copy(), contours, null, Emgu.CV.CvEnum.RetrType.List, Emgu.CV.CvEnum.ChainApproxMethod.ChainApproxSimple);
//VectorOfVectorOfPoint asa = new VectorOfVectorOfPoint();
//VectorOfVectorOfPoint asfa = new VectorOfVectorOfPoint(1000);
//CvInvoke.ConvertPointsToHomogeneous(contours, asfa);
for (int i = 0; i < contours.Size; i++)
{
var peri = CvInvoke.ArcLength(contours[i], true);
VectorOfPoint approxCurve = new VectorOfPoint();
CvInvoke.ApproxPolyDP(contours[i], approxCurve, 0.02 * peri, true);
if (approxCurve.Size == 4)
{
screenCnt = approxCurve;
break;
}
}
}
}