private Tuple <Bitmap, int> CreatePreviewImage(string imgPath, double val)
{
var q1 = new Image <Bgr, byte>(imgPath);
var w3 = ExtensionMethods.FindContours
(q1.Copy().Convert <Gray, byte>().GaussBlur().AdaptiveThreshold().Dilate(8).Erode());
var avg = ExtensionMethods.CalculateAvreage(w3.Item1, val);
var e4 = new VectorOfVectorOfPoint();
for (var i = 0; i < w3.Item1.Size; i++)
{
if (CvInvoke.ContourArea(w3.Item1[i]) > avg)
{
e4.Push(w3.Item1[i]);
}
}
var boundRect = new List <Rectangle>();
for (var i = 0; i < e4.Size; i++)
{
boundRect.Add(CvInvoke.BoundingRectangle(e4[i]));
}
var puzzelCounter = 0;
var avgX = new int[boundRect.Count];
var avgY = new int[boundRect.Count];
foreach (var r in boundRect)
{
avgX[puzzelCounter] = r.X;
avgY[puzzelCounter] = r.Y;
puzzelCounter++;
q1 = q1.Rectangle
(r, new MCvScalar(250, 0, 250))
.PutText
(
puzzelCounter.ToString()
, new Point(r.X + r.Width / 2, r.Y + r.Height / 2)
, new MCvScalar(255, 0, 255)
, FontFace.HersheySimplex
, 10
, 20);
}
var assumedConfiguration = ExtensionMethods.AssumePuzzleConfiguration(avgX, avgY);
X_axis.Value = assumedConfiguration[1];
Y_axis.Value = assumedConfiguration[0];
return(new Tuple <Bitmap, int>(q1.ToBitmap(), puzzelCounter));
}
