public static void CutSchnitzelImage(string folderPath, IEnumerable <Tuple <string, double> > input = null)
{
var path = folderPath + "pic.jpg";
try
{
var mat = CvInvoke.Imread(path, ImreadModes.AnyColor);
CvInvoke.CvtColor(mat, mat, ColorConversion.Bgr2Rgb);
CvInvoke.CvtColor(mat, mat, ColorConversion.Rgb2Hsv);
Image <Bgr, Byte> image = mat.ToImage <Bgr, Byte>();
var test = image.Convert <Hsv, Byte>();
Image <Gray, Byte>[] channels = test.Split();
try
{
var botLimit = new ScalarArray(new MCvScalar(10, 125, 75));
var uprLimit = new ScalarArray(new MCvScalar(15, 255, 255));
var contours = new VectorOfVectorOfPoint();
Image <Hsv, byte> imageHsvDest = new Image <Hsv, byte>(image.Width, image.Width);
CvInvoke.InRange(mat, botLimit, uprLimit, imageHsvDest);
CvInvoke.FindContours(imageHsvDest, contours, null, RetrType.List, ChainApproxMethod.ChainApproxSimple);
var arrayList = new List <ContourArea>(contours.Size);
for (int i = 0; i < contours.Size; i++)
{
var contour = contours[i];
arrayList.Add(new ContourArea(CvInvoke.ContourArea(contour), contour));
}
var color = new MCvScalar(255, 0, 0);
var biggestContour = arrayList.OrderByDescending(x => x.Area).FirstOrDefault();
if (biggestContour == null || biggestContour.Area < 1000)
{
//This is not a schnitzel
}
var mask = Mat.Zeros(imageHsvDest.Rows, imageHsvDest.Cols, DepthType.Cv8U, 3);
CvInvoke.DrawContours(mask, new VectorOfVectorOfPoint(biggestContour.Contour), 0, color, -1);
var newPicPath = DividePicture(path, mask, biggestContour.Area, input);
//return newPicPath;
}
finally
{
channels[0].Dispose();
channels[1].Dispose();
channels[2].Dispose();
}
}
catch (Exception e)
{
// do nothing
}
}