public AlgorithmResult DetectContours(
string filename,
ContourRetrType rtype,
ContourMethodType mtype,
double threshold1,
double threshold2,
int apertureSize)
{
AlgorithmResult result = new AlgorithmResult();
Image <Bgr, byte> image = ImageHelper.GetImage(filename);
var cannyImage = new Image <Gray, byte>(image.Width, image.Height);
var resultImage = new Image <Bgr, byte>(filename);
var contours = new VectorOfVectorOfPoint();
// Apply canny algorithm
CvInvoke.Canny(
image.Convert <Gray, byte>(),
cannyImage,
threshold1,
threshold2,
apertureSize);
// Find the contours
CvInvoke.FindContours(
cannyImage,
contours,
null,
GetRetrType(rtype),
GetMethodType(mtype));
resultImage = cannyImage.Convert <Bgr, byte>();
// Draw the contours
resultImage.DrawPolyline(
contours.ToArrayOfArray(),
false,
new Bgr(Color.FromArgb(255, 77, 77)),
3);
// Return collection of contours
result.ImageArray = ImageHelper.SetImage(resultImage);
result.ContourDatas = new List <ContourPointModel>();
result.ContourDatas = contours.ToArrayOfArray().Select(c => new ContourPointModel()
{
Count = c.Select(p => new PointF(p.X, p.Y)).ToArray().Length,
StartX = c.Length > 0 ? c[0].X : float.NaN,
StartY = c.Length > 0 ? c[0].Y : float.NaN,
EndX = c.Length > 0 ? c[c.Length - 1].X : float.NaN,
EndY = c.Length > 0 ? c[c.Length - 1].Y : float.NaN,
Length = GetLength(c.Select(p => new PointF(p.X, p.Y)).ToArray())
}).ToList();
return(result);
}
RetrType GetRetrType(ContourRetrType type)
{
switch (type)
{
case ContourRetrType.External:
return(RetrType.External);
case ContourRetrType.List:
return(RetrType.List);
case ContourRetrType.Ccomp:
return(RetrType.Ccomp);
case ContourRetrType.Tree:
return(RetrType.Tree);
default:
return(RetrType.Tree);
}
}
