private void button7_Click(object sender, EventArgs e)
{
MatImage m1 = new MatImage(mimg);
m1.Convert();
mimgInGray = m1.Out();
MatImage m2 = new MatImage(mimgInGray);
m2.SmoothGaussian(3);
m2.ThresholdBinaryInv(245, 255);
// this causes an exception, and I don't know how to fix that yet.
//The good news is that this really doesn't matter for small images
//m2.MorphologyEx(2);
mimgInGray = m2.Out();
MatImage m3 = new MatImage(mimgInGray);
VectorOfVectorOfPoint contours = m3.FindContours();
List <ColorfulContourMap> cmaps = ColorfulContourMap.getAllContourMap(mimg, 0);
//CvInvoke.DrawContours(mimg, contours,-1, new Bgr(255,0,0).MCvScalar,2);
Mat mimg2 = new Mat(new Size(mimg.Width, mimg.Height), DepthType.Cv8U, 3);
foreach (ColorfulContourMap cmap in cmaps)
{
cmap.DrawColorTo(mimg2);
}
pictureBox1.Image = mimg.Bitmap;
pictureBox2.Image = mimg2.Bitmap;
}
private Point pointTransform(Point p, ColorfulContourMap map)
{
Point result = new Point();
double requiredWidth = pic1.Width;
double requiredHeight = pic2.Height;
result.X = (int)((p.X + 0.0) / pictureBox1.Width * requiredWidth);
result.Y = (int)((p.Y + 0.0) / pictureBox1.Height * requiredHeight);
return(result);
}
public ColorfulContourMap Clone()
{
ColorfulContourMap cmap = new ColorfulContourMap();
cmap._points = _points.ToList();
cmap._polyPoints = _polyPoints.ToList();
cmap.Width = Width;
cmap.Height = Height;
cmap.Center = Center;
return(cmap);
}
private ColorfulContourMap AddCroppedImages(bool blackOrWhite, ColorfulContourMap cmap)
{
// get the image
Mat img;
if (blackOrWhite)
{
img = Form1.whiteSourceImages[cmap.imageIndex].Clone();
}
else
{
img = Form1.blackSourceImages[cmap.imageIndex].Clone();
}
// get the min max x y
int minX = cmap.Center.X - cmap.Width / 2;
int minY = cmap.Center.Y - cmap.Height / 2;
int maxX = cmap.Center.X + cmap.Width / 2;
int maxY = cmap.Center.Y + cmap.Height / 2;
// crop the corresponding image
Mat result = new Mat(img, new Rectangle(new Point(minX, minY), new Size(maxX - minX, maxY - minY)));
/*Mat result = new Mat(new Size(maxX-minX,maxY-minY),DepthType.Cv8U,3);
* CvInvoke.cvResetImageROI(img);
* CvInvoke.cvSetImageROI(img, new Rectangle(new Point(minX, minY), new Size(maxX - minX, maxY - minY)));
* CvInvoke.cvCopy(img, result,IntPtr.Zero);*/
if (blackOrWhite)
{
CvInvoke.CopyMakeBorder(result, result, 100, 100, 100, 100, BorderType.Constant, new MCvScalar(255, 255, 255));
}
else
{
CvInvoke.CopyMakeBorder(result, result, 100, 100, 100, 100, BorderType.Constant, new MCvScalar(0, 0, 0));
}
// output the image
//result = img;
if (blackOrWhite)
{
Form1.whiteCroppedImages.Add(result);
cmap = ColorfulContourMap.getAllContourMap(result, cmap.imageIndex, 0)[0]; // update the contour map for the new image
}
else
{
Form1.blackCroppedImages.Add(result);
cmap = ColorfulContourMap.getAllContourMap(result, cmap.imageIndex, 1)[0]; // update the contour map for the new image
}
return(cmap);
}
public ColorfulContourMap Clone()
{
ColorfulContourMap cmap = new ColorfulContourMap();
cmap._points = _points.ToList();
cmap._polyPoints = _polyPoints.ToList();
cmap.Width = Width;
cmap.Height = Height;
cmap.Center = Center;
return cmap;
}
private Point pointTransform(Point p, ColorfulContourMap map)
{
Point result = new Point();
double requiredWidth = pic1.Width;
double requiredHeight =pic2.Height;
result.X = (int)((p.X + 0.0) / pictureBox1.Width * requiredWidth);
result.Y = (int)((p.Y + 0.0) / pictureBox1.Height * requiredHeight);
return result;
}
private void button4_Click(object sender, EventArgs e)
{
// extract contour map
if (Form1.blackSourceImages.Count + Form1.whiteSourceImages.Count != 0)
{
//DisplayBestMatch bestMatchView = new DisplayBestMatch();
QueueView qv = new QueueView();
// extract the contour maps, send the result into queueview
int blackIndex = 0;
int whiteIndex = 0;
List <int> missBlackIndex = new List <int>();
List <int> missWhiteIndex = new List <int>();
for (int i = 0; i < Form1.blackSourceImages.Count; i++)
{
List <ColorfulContourMap> cmap;
bool inProcess = false;
try {
cmap = ColorfulContourMap.getAllContourMap(Form1.blackSourceImages[i], blackIndex, 1);
for (int j = 0; j < cmap.Count; j++)
{
inProcess = true;
cmap[j] = AddCroppedImages(false, cmap[j]);
}
Form1.blackContourMaps.AddRange(cmap);
blackIndex++;
}
catch
{
if (!inProcess)
{
MessageBox.Show("One of your input images seems to have a white background. That image will be moved into white category");
cmap = ColorfulContourMap.getAllContourMap(Form1.blackSourceImages[i], whiteIndex, 0);
//missBlackIndex.Add(blackIndex);
Form1.whiteSourceImages.Insert(whiteIndex, Form1.blackSourceImages[i]);
for (int j = 0; j < cmap.Count; j++)
{
cmap[j] = AddCroppedImages(true, cmap[j]);
}
Form1.whiteContourMaps.AddRange(cmap);
whiteIndex++;
Form1.blackSourceImages.Remove(Form1.blackSourceImages[i]);
i--;
}
}
}
for (int i = whiteIndex; i < Form1.whiteSourceImages.Count; i++)
{
List <ColorfulContourMap> cmap;
bool inProcess = false;
try {
cmap = ColorfulContourMap.getAllContourMap(Form1.whiteSourceImages[i], whiteIndex, 0);
for (int j = 0; j < cmap.Count; j++)
{
inProcess = true;
cmap[j] = AddCroppedImages(true, cmap[j]);
}
Form1.whiteContourMaps.AddRange(cmap);
whiteIndex++;
}
catch
{
if (!inProcess)
{
MessageBox.Show("One of your input images seems to have a black background. That image will be moved into black category");
cmap = ColorfulContourMap.getAllContourMap(Form1.whiteSourceImages[i], blackIndex, 1);
//missWhiteIndex.Add(whiteIndex);
for (int j = 0; j < cmap.Count; j++)
{
cmap[j] = AddCroppedImages(false, cmap[j]);
}
Form1.blackContourMaps.AddRange(cmap);
blackIndex++;
Form1.blackSourceImages.Add(Form1.whiteSourceImages[i]);
Form1.whiteSourceImages.Remove(Form1.whiteSourceImages[i]);
i--;
}
}
}
// move the images into their correct container if users misclassified them
Hide();
//bestMatchView.Show();
qv.Show();
}
else
{
MessageBox.Show("Please input at least one image.");
}
// move to next form
}
