internal static void ShowImage(Mat image, string title = null)
{
if (title == null)
{
title = "ImageShowcase";
}
ImageShowCase imageShowCase = null;
foreach (var showcase in instances)
{
if (showcase.Text == title)
{
imageShowCase = showcase;
break;
}
}
if (imageShowCase == null)
{
imageShowCase = new ImageShowCase();
imageShowCase.Text = title;
instances.Add(imageShowCase);
}
imageShowCase.imageBox.Image = image;
if (!imageShowCase.Visible)
{
imageShowCase.Show();
}
}
public void GridDetection()
{
// convert to gray-scaler image
Mat image = originalImage.Mat.Clone();
// blur the image
CvInvoke.GaussianBlur(image, image, new Size(11, 11), 0);
// threshold the image
CvInvoke.AdaptiveThreshold(image, image, 255, AdaptiveThresholdType.MeanC, ThresholdType.Binary, 5, 2);
CvInvoke.BitwiseNot(image, image);
Mat kernel = new Mat(new Size(3, 3), DepthType.Cv8U, 1);
Marshal.Copy(new byte[] { 0, 1, 0, 1, 1, 1, 0, 1, 0 }, 0, kernel.DataPointer, 9);
CvInvoke.Dilate(image, image, kernel, new Point(-1, -1), 1, BorderType.Default, new MCvScalar(255));
FindOuterGridByFloorFill(image);
CvInvoke.Erode(image, image, kernel, new Point(-1, -1), 1, BorderType.Default, new MCvScalar(255));
ImageShowCase.ShowImage(image, "biggest blob");
VectorOfPointF lines = new VectorOfPointF();
CvInvoke.HoughLines(image, lines, 1, Math.PI / 180, 200);
// merging lines
PointF[] linesArray = lines.ToArray();
//MergeLines(linesArray, image);
lines = RemoveUnusedLine(linesArray);
Mat harrisResponse = new Mat(image.Size, DepthType.Cv8U, 1);
CvInvoke.CornerHarris(image, harrisResponse, 5);
DrawLines(lines.ToArray(), image);
ImageShowCase.ShowImage(image, "corners");
}