public IActionResult Gauss(GaussData GaussData)
{
Image <Bgra, Byte> img = null;
Mat GaussImg = new Mat();
Mat GrayImg = new Mat();
Mat SobalImg = new Mat();
Mat ThresholdImg = new Mat();
Mat MorpImg = new Mat();
GaussData gd = new GaussData();
using (MemoryStream ms = new MemoryStream())
{
if (ms != null)
{
ProcessCaptured capture = new ProcessCaptured();
GaussData.FormFile.CopyTo(ms);
byte[] fileBytes = ms.ToArray();
img = capture.GetImageFromStream(ms);
Size size = new Size(3, 3);
CvInvoke.GaussianBlur(img, GaussImg, size, 0);
CvInvoke.CvtColor(GaussImg, GrayImg, Emgu.CV.CvEnum.ColorConversion.Bgr2Gray);
CvInvoke.Sobel(GrayImg, SobalImg, Emgu.CV.CvEnum.DepthType.Cv8U, 1, 0, 3);
CvInvoke.Threshold(SobalImg, ThresholdImg, 0, 255, Emgu.CV.CvEnum.ThresholdType.Binary);
var gi = ThresholdImg.ToImage <Bgr, Byte>();
Size Ksize = new Size(17, 3);
Point points = new Point(-1, -1);
var element = CvInvoke.GetStructuringElement(Emgu.CV.CvEnum.ElementShape.Rectangle, Ksize, points);
MCvScalar scalar = new MCvScalar(1);
CvInvoke.MorphologyEx(ThresholdImg, MorpImg, Emgu.CV.CvEnum.MorphOp.Close, element, points, 3, Emgu.CV.CvEnum.BorderType.Default, scalar);
var tempImg = MorpImg.ToImage <Bgr, Byte>();
var temp = tempImg.ToJpegData();
string data = "data:image/jpg;base64," + Convert.ToBase64String(temp, 0, temp.Length);
gd.Images.Add(new Images {
Data = data, ImageName = "Gauss"
});
}
}
return(View("Index", gd));
}
public IActionResult Index()
{
GaussData GaussData = new GaussData();
return(View(GaussData));
}
