private void AutoCrop(string path)
{
using var image = new Image <Bgr, byte>(path);
// Grayscale
var grayScaleImage = image.Convert <Gray, byte>();
// Applying GaussianBlur
var blurredImage = grayScaleImage.SmoothGaussian(5, 5, 0, 0);
// OR
CvInvoke.GaussianBlur(grayScaleImage, blurredImage, new Size(5, 5), 0);
// Applying Canny algorithm
var cannyImage = new UMat();
CvInvoke.Canny(blurredImage, cannyImage, 50, 150);
// Finding largest contours
var contours = new VectorOfVectorOfPointF();
CvInvoke.FindContours(cannyImage, contours, null, RetrType.Tree, ChainApproxMethod.ChainApproxSimple);
for (int i = 0; i < contours.Size; i++)
{
var contourVector = contours[i];
using var contour = new VectorOfPoint();
var peri = CvInvoke.ArcLength(contourVector, true);
CvInvoke.ApproxPolyDP(contourVector, contour, 0.1 * peri, true);
if (contour.ToArray().Length == 4 && CvInvoke.IsContourConvex(contour))
{
Debug.WriteLine(contour.ToString());
// return contour;
}
}
}
