public Form1()
{
InitializeComponent();
var image = RawParser.Open("Images\\JPCLN001.IMG");
var image2 = image
.SmoothMedian(3)
.Convert <Gray, double>()
.Mul(1.0 / 4096.0);
//var image3 = image2.Convert<Gray, float>();
// image3.ROI = new Rectangle(100, 100, 2048 - 200, 2048 - 200);
// image3 = image3.Copy();
//image3 = image3.SmoothGaussian(21).Sub(image3);
//var image4 = image3.Pow(2);//.SmoothGaussian(51).Pow(0.5);
//Emgu.CV.CvInvoke.Divide(image3, image4, image3, 1);
//image5 = image5.ThresholdAdaptive(new Gray(255), Emgu.CV.CvEnum.AdaptiveThresholdType.GaussianC, Emgu.CV.CvEnum.ThresholdType.Binary, 41, new Gray(0));
//image3.Draw(new Ellipse(new PointF(1634, 692), new SizeF(150, 150), 0), new Gray(1000), 2);
pictureBox1.Image = image2.Bitmap;
}
private void SetCurrentImage(int imageIndex)
{
currentImage = imageIndex;
nextImageButton.Enabled = currentImage < images.Count - 1;
var image = RawParser.Open(images[currentImage].FullName).Convert <Bgr, byte>();
currentDescriptionData = descriptionsData.FirstOrDefault(i => i.ImageName == images[currentImage].Name);
if (currentDescriptionData != null)
{
image.Draw(
new CircleF(new PointF(currentDescriptionData.X, currentDescriptionData.Y), currentDescriptionData.NoduleSize / pixelSize),
new Bgr(0, 0, 255), 2);
currentFileNameLabel.Text = $"{images[currentImage].Name} {currentDescriptionData.Class} {currentDescriptionData.Sex} {currentDescriptionData.Years}";
}
else
{
currentFileNameLabel.Text = images[currentImage].Name;
}
currentImagePictureBox.Image = image.Bitmap;
}
