private void chessRecognitionToolStripMenuItem_Click(object sender, EventArgs e)
{
if (img == null) // verify if the image is already opened
{
return;
}
Cursor = Cursors.WaitCursor; // clock cursor
//copy Undo Image
imgUndo = img.Copy();
Rectangle rectangulo;
string angle;
string[,] Pieces;
ImageClass.Chess_Recognition(img, img, out rectangulo, out angle, out Pieces);
ImageViewer.Image = img.Bitmap;
ImageViewer.Refresh(); // refresh image on the screen
Cursor = Cursors.Default; // normal cursor
}
private void chessRecognitionToolStripMenuItem_Click(object sender, EventArgs e)
{
if (img == null) // verify if the image is already opened
{
return;
}
Cursor = Cursors.WaitCursor; // clock cursor
//copy Undo Image
imgUndo = img.Copy();
Color red = Color.Red;
Pen p = new Pen(red);
p.Width = 4;
ImageClass.Chess_Recognition(img, imgUndo, out Rectangle BD_Location, out string Angle,
out string[,] Pieces);
Graphics g = Graphics.FromImage(img.Bitmap);
//g.DrawRectangle(p, BD_Location);
float angle = float.Parse(Angle,
System.Globalization.CultureInfo.InvariantCulture);
using (Matrix m = new Matrix())
{
m.RotateAt(angle, new PointF(BD_Location.Left,
BD_Location.Top));
g.Transform = m;
g.DrawRectangle(p, BD_Location);
g.ResetTransform();
}
////Convert the image to grayscale and filter out the noise
//Image<Gray, Byte> gray = img.Convert<Gray, Byte>().PyrDown().PyrUp();
//Gray cannyThreshold = new Gray(180);
//Gray cannyThresholdLinking = new Gray(120);
//Gray circleAccumulatorThreshold = new Gray(120);
//CircleF[] circles = gray.HoughCircles(
// cannyThreshold,
// circleAccumulatorThreshold,
// 5.0, //Resolution of the accumulator used to detect centers of the circles
// 10.0, //min distance
// 5, //min radius
// 0 //max radius
// )[0]; //Get the circles from the first channel
//Image<Gray, Byte> cannyEdges = gray.Canny(cannyThreshold.Intensity, cannyThresholdLinking.Intensity);
//LineSegment2D[] lines = cannyEdges.HoughLinesBinary(
// 1, //Distance resolution in pixel-related units
// Math.PI / 45.0, //Angle resolution measured in radians.
// 20, //threshold
// 30, //min Line width
// 2 //gap between lines
// )[0]; //Get the lines from the first channel
//#region Find rectangles
//List<MCvBox2D> boxList = new List<MCvBox2D>();
//using (MemStorage storage = new MemStorage()) //allocate storage for contour approximation
// for (Contour<System.Drawing.Point> contours = cannyEdges.FindContours(); contours != null; contours = contours.HNext)
// {
// Contour<System.Drawing.Point> currentContour = contours.ApproxPoly(contours.Perimeter * 0.05, storage);
// if (contours.Area > 250) //only consider contours with area greater than 250
// {
// if (currentContour.Total == 4) //The contour has 4 vertices.
// {
// #region determine if all the angles in the contour are within the range of [80, 100] degree
// bool isRectangle = true;
// System.Drawing.Point[] pts = currentContour.ToArray();
// LineSegment2D[] edges = PointCollection.PolyLine(pts, true);
// for (int i = 0; i < edges.Length; i++)
// {
// double angle = Math.Abs(
// edges[(i + 1) % edges.Length].GetExteriorAngleDegree(edges[i]));
// if (angle < 80 || angle > 100)
// {
// isRectangle = false;
// break;
// }
// }
// #endregion
// if (isRectangle) boxList.Add(currentContour.GetMinAreaRect());
// }
// }
// }
//#endregion
//#region draw rectangles
//Image<Bgr, Byte> RectangleImage = img.CopyBlank();
//foreach (MCvBox2D box in boxList)
// RectangleImage.Draw(box, new Bgr(Color.DarkOrange), 2);
//#endregion
ImageViewer.Image = img.Bitmap;
ImageViewer.Refresh(); // refresh image on the screen
Cursor = Cursors.Default; // normal cursor
}
