private void logoDetectionToolStripMenuItem_Click(object sender, EventArgs e)
{
try
{
if (pictureBox1.Image == null)
{
return;
}
var img = new Bitmap(pictureBox1.Image)
.ToImage <Bgr, byte>();
Image <Bgr, byte> logo = null;
OpenFileDialog dialog = new OpenFileDialog();
if (dialog.ShowDialog() == DialogResult.OK)
{
logo = new Image <Bgr, byte>(dialog.FileName);
}
var vp = Process(logo.Mat, img.Mat);
if (vp != null)
{
CvInvoke.Polylines(img, vp, true, new MCvScalar(0, 0, 255), 5);
}
pictureBox1.Image = img.AsBitmap();
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
}
private void rotate270ToolStripMenuItem_Click(object sender, EventArgs e)
{
if (imgInput == null)
{
MessageBox.Show("please select an image.");
return;
}
var img = new Bitmap(pictureBox1.Image).ToImage <Bgr, byte>();
img = img.Rotate(270, new Bgr(0, 0, 0), false);
pictureBox2.Image = img.AsBitmap();
pictureBox2.SizeMode = PictureBoxSizeMode.StretchImage;
}
private void convexHullToolStripMenuItem_Click(object sender, EventArgs e)
{
try
{
if (pictureBox1.Image == null)
{
return;
}
var img = new Bitmap(pictureBox1.Image)
.ToImage <Bgr, byte>();
img = img.SmoothGaussian(3);
var gray = img.Convert <Gray, byte>()
.ThresholdBinaryInv(new Gray(225), new Gray(255));
VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint();
Mat hier = new Mat();
CvInvoke.FindContours(gray, contours, hier, Emgu.CV.CvEnum.RetrType.External, Emgu.CV.CvEnum.ChainApproxMethod.ChainApproxSimple);
int index = -1;
double maxarea = -100;
for (int i = 0; i < contours.Size; i++)
{
double area = CvInvoke.ContourArea(contours[i]);
if (area > maxarea)
{
maxarea = area;
index = i;
}
}
if (index > -1)
{
var biggestcontour = contours[index];
//Mat hull = new Mat();
VectorOfPoint hull = new VectorOfPoint();
CvInvoke.ConvexHull(biggestcontour, hull);
//CvInvoke.DrawContours(img, hull, -1, new MCvScalar(0, 0, 255), 3);
CvInvoke.Polylines(img, hull.ToArray(), true, new MCvScalar(0, 0.0, 255.0), 3);
}
pictureBox1.Image = img.AsBitmap();
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
}
private void templateMatchinToolStripMenuItem_Click(object sender, EventArgs e)
{
try
{
if (pictureBox1.Image == null)
{
return;
}
if (rect == null)
{
MessageBox.Show("Select a template");
return;
}
var img = new Bitmap(pictureBox1.Image)
.ToImage <Bgr, byte>();
img.ROI = rect;
var template = img.Copy();
//template = template.Resize(0.5, Emgu.CV.CvEnum.Inter.Cubic);
template = template.Rotate(90, new Bgr(0, 0, 0));
img.ROI = Rectangle.Empty;
CvInvoke.Imshow("Template", template);
Mat imgout = new Mat();
CvInvoke.MatchTemplate(img, template, imgout, Emgu.CV.CvEnum.TemplateMatchingType.Sqdiff);
double minVal = 0;
double maxVal = 0;
Point minLoc = new Point();
Point maxLoc = new Point();
CvInvoke.MinMaxLoc(imgout, ref minVal, ref maxVal, ref minLoc, ref maxLoc);
Rectangle r = new Rectangle(minLoc, template.Size);
CvInvoke.Rectangle(img, r, new MCvScalar(255, 0, 0), 3);
pictureBox1.Image = img.AsBitmap();
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
}
private void gaussianBlurToolStripMenuItem1_Click(object sender, EventArgs e)
{
try
{
if (pictureBox1.Image == null)
{
MessageBox.Show("Select an image to process");
return;
}
var img = new Bitmap(pictureBox1.Image).ToImage <Bgr, byte>().SmoothGaussian(3);
pictureBox1.Image = img.AsBitmap();
AddImage(img, "Gaussian");
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
}
private void ProcessROI()
{
try
{
if (pictureBox1.Image == null)
{
return;
}
if (rect == null)
{
MessageBox.Show("Select an ROI");
return;
}
var img = new Bitmap(pictureBox1.Image)
.ToImage <Bgr, byte>();
img.ROI = rect;
var img2 = img.Copy();
var img3 = img2.SmoothGaussian(25);
//var blue = img2.SmoothGaussian(15).Canny(150, 50)
//Image<Bgr, byte> img3 = new Image<Bgr, byte>(new Image<Gray, byte>[] {
//blue,
//blue,
//blue });
img.SetValue(new Bgr(1, 1, 1));
img._Mul(img3);
img.ROI = Rectangle.Empty;
pictureBox1.Image = img.AsBitmap();
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
}
