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 void button6_Click(object sender, EventArgs e)
{
OpenFileDialog Openfile = new OpenFileDialog();
if (Openfile.ShowDialog() == DialogResult.OK)
{
long start = DateTime.Now.ToFileTime() * 10 / 1000000;
for (int i = 0; i < 1; i++)
{
mimg = new Mat(Openfile.FileName, LoadImageType.AnyColor);
// block for using my helper class for Mat
{
// pipeline for using my helper class
// load
MatImage m1 = new MatImage(mimg);
// operations
m1.Resize(0.5);
// other operations
// output
mimg = m1.Out();
}
pictureBox2.Image = mimg.Bitmap;
}
Console.WriteLine(DateTime.Now.ToFileTime() * 10 / 1000000 - start);
}
}
private Mat generateThumbnail(Mat input)
{
MatImage m1 = new MatImage(input);
m1.ResizeTo(150, 150);
return(m1.Out());
}
private void button4_Click(object sender, EventArgs e)
{
long start = DateTime.Now.ToFileTime() * 10 / 1000000;
for (int i = 0; i < 1000; i++)
{
MatImage m1 = new MatImage(mimg);
m1.Translate(-1 + 2 * i % 2, -1 + 2 * i % 2); // don't let the picture move out of the box
// engineering code
Mat mim = m1.Out();
pictureBox2.Image = mim.Bitmap;
}
Console.WriteLine(DateTime.Now.ToFileTime() * 10 / 1000000 - start);
}
private void button2_Click(object sender, EventArgs e)
{
long start = DateTime.Now.ToFileTime() * 10 / 1000000;
for (int i = 0; i<1; i++)
{
MatImage m1 = new MatImage(mimg);
m1.Rotate(45,new Bgr(255,255,255));
// engineering code
//Mat mim = m1.Out();
//pictureBox2.Image = mim.Bitmap;
// artistic code
mimg = m1.Out();
pictureBox2.Image = mimg.Bitmap;
}
Console.WriteLine(DateTime.Now.ToFileTime() * 10 / 1000000 - start);
}
private void button2_Click(object sender, EventArgs e)
{
long start = DateTime.Now.ToFileTime() * 10 / 1000000;
for (int i = 0; i < 1; i++)
{
MatImage m1 = new MatImage(mimg);
m1.Rotate(45, new Bgr(255, 255, 255));
// engineering code
//Mat mim = m1.Out();
//pictureBox2.Image = mim.Bitmap;
// artistic code
mimg = m1.Out();
pictureBox2.Image = mimg.Bitmap;
}
Console.WriteLine(DateTime.Now.ToFileTime() * 10 / 1000000 - start);
}
private void refresh(bool colored)
{
pic1Copy = pic1.Clone();
pic2Copy = pic2.Clone();
if (!colored)
{
map1.DrawTo(pic1Copy);
map2.DrawTo(pic2Copy);
}
else
{
map1.DrawColorTo(pic1Copy);
map2.DrawColorTo(pic2Copy);
}
MatImage m1 = new MatImage(pic1Copy);
m1.ResizeTo(pictureBox1.Width, pictureBox1.Height);
pictureBox1.Image = m1.Out().Bitmap;
MatImage m2 = new MatImage(pic2Copy);
m2.ResizeTo(pictureBox2.Width, pictureBox2.Height);
pictureBox2.Image = m2.Out().Bitmap;
}
private void displayFragments(PictureBox pb)
{
// determine the index of the first contour map for a image
int firstAppear = 0;
bool blackOrWhite = false;
foreach (ColorfulContourMap cmap in Form1.blackContourMaps)
{
if (cmap.imageIndex == num)
{
blackOrWhite = false;
goto black;
}
firstAppear++;
}
firstAppear = 0;
foreach (ColorfulContourMap cmap in Form1.whiteContourMaps)
{
if (cmap.imageIndex == num - Form1.blackSourceImages.Count)
{
blackOrWhite = true;
break;
}
firstAppear++;
}
black:
if (!blackOrWhite)
{
Mat img1 = new Mat();
if (pb == pictureBox3)
{
ind1 = firstAppear + listBox1.SelectedIndex;
img1 = Form1.blackCroppedImages[ind1].Clone();
Form1.blackContourMaps[ind1].DrawTo(img1);
}
else
{
ind2 = firstAppear + listBox1.SelectedIndex;
img1 = Form1.blackCroppedImages[ind2].Clone();
Form1.blackContourMaps[ind2].DrawTo(img1);
}
{
MatImage m2 = new MatImage(img1);
m2.ResizeTo(pb.Width, pb.Height);
img1 = m2.Out();
}
pb.Image = img1.Bitmap;
blackOWhite = false;
}
else
{
Mat img1 = new Mat();
if (pb == pictureBox3)
{
ind1 = firstAppear + listBox1.SelectedIndex;
img1 = Form1.whiteCroppedImages[ind1].Clone();
Form1.whiteContourMaps[ind1].DrawTo(img1);
}
else
{
ind2 = firstAppear + listBox1.SelectedIndex;
img1 = Form1.whiteCroppedImages[ind2].Clone();
Form1.whiteContourMaps[ind2].DrawTo(img1);
}
{
MatImage m2 = new MatImage(img1);
m2.ResizeTo(pb.Width, pb.Height);
img1 = m2.Out();
}
pb.Image = img1.Bitmap;
blackOWhite = true;
}
}
private void listBox1_SelectedIndexChanged(object sender, EventArgs e)
{
int firstAppear = 0;
bool blackOrWhite = false; // false=black
foreach (ColorfulContourMap cmap in Form1.blackContourMaps)
{
if (cmap.imageIndex == num)
{
blackOrWhite = false;
goto black;
}
firstAppear++;
}
firstAppear = 0;
foreach (ColorfulContourMap cmap in Form1.whiteContourMaps)
{
if (cmap.imageIndex == num - Form1.blackSourceImages.Count)
{
blackOrWhite = true;
break;
}
firstAppear++;
}
black : if (!blackOrWhite) // black
{
Mat img1 = Form1.blackSourceImages[num].Clone();
Mat img2 = Form1.blackSourceImages[num].Clone();
img2.SetTo(new MCvScalar(255, 255, 255));
//Form1.blackContourMaps[firstAppear + listBox1.SelectedIndex].DrawTo(img1);
//Form1.blackContourMaps[firstAppear + listBox1.SelectedIndex].DrawColorTo(img2);
{
MatImage m1 = new MatImage(img1);
m1.ResizeTo(pictureBox1.Width, pictureBox1.Height);
img1 = m1.Out();
}
pictureBox1.Image = img1.Bitmap;
{
MatImage m2 = new MatImage(img2);
m2.ResizeTo(pictureBox2.Width, pictureBox2.Height);
img2 = m2.Out();
}
pictureBox2.Image = img2.Bitmap;
}
else // white
{
Mat img1 = Form1.whiteSourceImages[num - Form1.blackSourceImages.Count].Clone();
Mat img2 = Form1.whiteSourceImages[num - Form1.blackSourceImages.Count].Clone();
img2.SetTo(new MCvScalar(0));
//Form1.whiteContourMaps[firstAppear + listBox1.SelectedIndex].DrawTo(img1);
//Form1.whiteContourMaps[firstAppear + listBox1.SelectedIndex].DrawColorTo(img2);
{
MatImage m1 = new MatImage(img1);
m1.ResizeTo(pictureBox1.Width, pictureBox1.Height);
img1 = m1.Out();
}
pictureBox1.Image = img1.Bitmap;
{
MatImage m2 = new MatImage(img2);
m2.ResizeTo(pictureBox2.Width, pictureBox2.Height);
img2 = m2.Out();
}
pictureBox2.Image = img2.Bitmap;
}
}
private void button1_Click(object sender, EventArgs e)
{
if (radioButton1.Checked)
{
pic1Copy = pic1.Clone();
pic2Copy = pic2.Clone();
map1.DrawTo(pic1Copy);
map2.DrawTo(pic2Copy);
edgeMatch = DNAUtil.partialMatch(DNA1, DNA2);
List<Point> pointToDraw1 = new List<Point>();
List<Point> pointToDraw2 = new List<Point>();
for (int i = edgeMatch.t11; i < edgeMatch.t12; i++)
{
pointToDraw1.Add(new Point((int)DNA1[i].x, (int)DNA1[i].y));
}
for (int i = edgeMatch.t21; i < edgeMatch.t22; i++)
{
pointToDraw2.Add(new Point((int)DNA2[i].x, (int)DNA2[i].y));
}
CvInvoke.Polylines(pic1Copy, pointToDraw1.ToArray(), false, new Bgr(0, 255, 0).MCvScalar, 2);
CvInvoke.Polylines(pic2Copy, pointToDraw2.ToArray(), false, new Bgr(0, 255, 0).MCvScalar, 2);
MatImage m1 = new MatImage(pic1Copy);
m1.ResizeTo(pictureBox1.Width, pictureBox1.Height);
pictureBox1.Image = m1.Out().Bitmap;
MatImage m2 = new MatImage(pic2Copy);
m2.ResizeTo(pictureBox2.Width, pictureBox2.Height);
pictureBox2.Image = m2.Out().Bitmap;
}
else
{
pic1Copy = pic1.Clone();
pic2Copy = pic2.Clone();
map1.DrawTo(pic1Copy);
map2.DrawTo(pic2Copy);
edgeMatch = DNAUtil.partialColorMatch(DNA1, DNA2);
List<Point> pointToDraw1 = new List<Point>();
List<Point> pointToDraw2 = new List<Point>();
if (edgeMatch.t11 > edgeMatch.t12)
{
for (int i = edgeMatch.t12; i < edgeMatch.t11; i++)
{
pointToDraw1.Add(new Point((int)DNA1[i].x, (int)DNA1[i].y));
}
}
else
{
for (int i = edgeMatch.t11; i < edgeMatch.t12; i++)
{
pointToDraw1.Add(new Point((int)DNA1[i].x, (int)DNA1[i].y));
}
}
if (edgeMatch.t21 > edgeMatch.t22)
{
for (int i = edgeMatch.t22; i < edgeMatch.t21; i++)
{
pointToDraw2.Add(new Point((int)DNA2[i].x, (int)DNA2[i].y));
}
}
else
{
for (int i = edgeMatch.t21; i < edgeMatch.t22; i++)
{
pointToDraw2.Add(new Point((int)DNA2[i].x, (int)DNA2[i].y));
}
}
CvInvoke.Polylines(pic1Copy, pointToDraw1.ToArray(), false, new Bgr(0, 255, 0).MCvScalar, 2);
CvInvoke.Polylines(pic2Copy, pointToDraw2.ToArray(), false, new Bgr(0, 255, 0).MCvScalar, 2);
MatImage m1 = new MatImage(pic1Copy);
m1.ResizeTo(pictureBox1.Width, pictureBox1.Height);
pictureBox1.Image = m1.Out().Bitmap;
MatImage m2 = new MatImage(pic2Copy);
m2.ResizeTo(pictureBox2.Width, pictureBox2.Height);
pictureBox2.Image = m2.Out().Bitmap;
}
}
private void refresh(bool colored)
{
pic1Copy = pic1.Clone();
pic2Copy = pic2.Clone();
if (!colored)
{
map1.DrawTo(pic1Copy);
map2.DrawTo(pic2Copy);
}
else
{
map1.DrawColorTo(pic1Copy);
map2.DrawColorTo(pic2Copy);
}
MatImage m1 = new MatImage(pic1Copy);
m1.ResizeTo(pictureBox1.Width, pictureBox1.Height);
pictureBox1.Image = m1.Out().Bitmap;
MatImage m2 = new MatImage(pic2Copy);
m2.ResizeTo(pictureBox2.Width, pictureBox2.Height);
pictureBox2.Image = m2.Out().Bitmap;
}
private void button1_Click(object sender, EventArgs e)
{
if (radioButton1.Checked)
{
pic1Copy = pic1.Clone();
pic2Copy = pic2.Clone();
map1.DrawTo(pic1Copy);
map2.DrawTo(pic2Copy);
edgeMatch = DNAUtil.partialMatch(DNA1, DNA2);
List <Point> pointToDraw1 = new List <Point>();
List <Point> pointToDraw2 = new List <Point>();
for (int i = edgeMatch.t11; i < edgeMatch.t12; i++)
{
pointToDraw1.Add(new Point((int)DNA1[i].x, (int)DNA1[i].y));
}
for (int i = edgeMatch.t21; i < edgeMatch.t22; i++)
{
pointToDraw2.Add(new Point((int)DNA2[i].x, (int)DNA2[i].y));
}
CvInvoke.Polylines(pic1Copy, pointToDraw1.ToArray(), false, new Bgr(0, 255, 0).MCvScalar, 2);
CvInvoke.Polylines(pic2Copy, pointToDraw2.ToArray(), false, new Bgr(0, 255, 0).MCvScalar, 2);
MatImage m1 = new MatImage(pic1Copy);
m1.ResizeTo(pictureBox1.Width, pictureBox1.Height);
pictureBox1.Image = m1.Out().Bitmap;
MatImage m2 = new MatImage(pic2Copy);
m2.ResizeTo(pictureBox2.Width, pictureBox2.Height);
pictureBox2.Image = m2.Out().Bitmap;
}
else
{
pic1Copy = pic1.Clone();
pic2Copy = pic2.Clone();
map1.DrawTo(pic1Copy);
map2.DrawTo(pic2Copy);
edgeMatch = DNAUtil.partialColorMatch(DNA1, DNA2);
List <Point> pointToDraw1 = new List <Point>();
List <Point> pointToDraw2 = new List <Point>();
if (edgeMatch.t11 > edgeMatch.t12)
{
for (int i = edgeMatch.t12; i < edgeMatch.t11; i++)
{
pointToDraw1.Add(new Point((int)DNA1[i].x, (int)DNA1[i].y));
}
}
else
{
for (int i = edgeMatch.t11; i < edgeMatch.t12; i++)
{
pointToDraw1.Add(new Point((int)DNA1[i].x, (int)DNA1[i].y));
}
}
if (edgeMatch.t21 > edgeMatch.t22)
{
for (int i = edgeMatch.t22; i < edgeMatch.t21; i++)
{
pointToDraw2.Add(new Point((int)DNA2[i].x, (int)DNA2[i].y));
}
}
else
{
for (int i = edgeMatch.t21; i < edgeMatch.t22; i++)
{
pointToDraw2.Add(new Point((int)DNA2[i].x, (int)DNA2[i].y));
}
}
CvInvoke.Polylines(pic1Copy, pointToDraw1.ToArray(), false, new Bgr(0, 255, 0).MCvScalar, 2);
CvInvoke.Polylines(pic2Copy, pointToDraw2.ToArray(), false, new Bgr(0, 255, 0).MCvScalar, 2);
MatImage m1 = new MatImage(pic1Copy);
m1.ResizeTo(pictureBox1.Width, pictureBox1.Height);
pictureBox1.Image = m1.Out().Bitmap;
MatImage m2 = new MatImage(pic2Copy);
m2.ResizeTo(pictureBox2.Width, pictureBox2.Height);
pictureBox2.Image = m2.Out().Bitmap;
}
}
// get all of the valid contour maps, valid means circumfence > 200 px
// this was not in their code, I added this feature, but I used their logic
public static List <ColorfulContourMap> getAllContourMap(Mat input, int index, int mode = 0)
{
// use for all members
List <ColorfulContourMap> result = new List <ColorfulContourMap>();
MatImage m1 = new MatImage(input);
m1.Convert();
Mat gray = m1.Out();
// use for black background
if (mode == 0)
{
MatImage m2 = new MatImage(gray);
m2.SmoothGaussian(3);
m2.ThresholdBinaryInv(245, 255);
gray = m2.Out();
}
// use for white background
else
{
MatImage m2 = new MatImage(gray);
m2.SmoothGaussian(3);
m2.ThresholdBinaryInv(100, 255);
gray = m2.Out();
}
// one time use
List <Point> pointList = new List <Point>();
List <Point> polyPointList = new List <Point>();
List <ColorfulPoint> cps = new List <ColorfulPoint>();
List <ColorfulPoint> pcps = new List <ColorfulPoint>();
// fetch all the contours using Emgu CV
// fetch all the polys using Emgu CV
// extract the points and colors
Mat temp = gray.Clone();
VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint();
CvInvoke.FindContours(gray, contours, new Mat(), RetrType.List, ChainApproxMethod.ChainApproxNone);
double area = Math.Abs(CvInvoke.ContourArea(contours[0]));
VectorOfPoint maxArea = contours[0]; // maxArea is used as the current contour
//contour = contour.HNext;
// use this to loop
for (int i = 0; i < contours.Size; i++)
{
double nextArea = Math.Abs(CvInvoke.ContourArea(contours[i], false)); // Find the area of contour
area = nextArea;
if (area >= Constants.MIN_AREA)
{
maxArea = contours[i];
VectorOfPoint poly = new VectorOfPoint();
CvInvoke.ApproxPolyDP(maxArea, poly, 1.0, true);
pointList = maxArea.ToArray().ToList();
polyPointList = poly.ToArray().ToList();
foreach (Point p in pointList)
{
ColorfulPoint cp = new ColorfulPoint {
X = p.X, Y = p.Y, color = extractPointColor(p, input)
};
cps.Add(cp);
}
foreach (Point p in polyPointList)
{
ColorfulPoint cp = new ColorfulPoint {
X = p.X, Y = p.Y, color = extractPointColor(p, input)
};
pcps.Add(cp);
}
result.Add(new ColorfulContourMap(cps, pcps, index));
// clear temporal lists
pointList = new List <Point>();
polyPointList = new List <Point>();
cps = new List <ColorfulPoint>();
pcps = new List <ColorfulPoint>();
}
}
return(result);
}
private void listBox1_SelectedIndexChanged(object sender, EventArgs e)
{
int firstAppear = 0;
bool blackOrWhite = false; // false=black
foreach (ColorfulContourMap cmap in Form1.blackContourMaps)
{
if (cmap.imageIndex == num)
{
blackOrWhite = false;
goto black;
}
firstAppear++;
}
firstAppear=0;
foreach (ColorfulContourMap cmap in Form1.whiteContourMaps)
{
if (cmap.imageIndex == num-Form1.blackSourceImages.Count)
{
blackOrWhite = true;
break;
}
firstAppear++;
}
black: if (!blackOrWhite) // black
{
Mat img1 = Form1.blackSourceImages[num].Clone();
Mat img2 = Form1.blackSourceImages[num].Clone();
img2.SetTo(new MCvScalar(255,255,255));
//Form1.blackContourMaps[firstAppear + listBox1.SelectedIndex].DrawTo(img1);
//Form1.blackContourMaps[firstAppear + listBox1.SelectedIndex].DrawColorTo(img2);
{
MatImage m1 = new MatImage(img1);
m1.ResizeTo(pictureBox1.Width,pictureBox1.Height);
img1 = m1.Out();
}
pictureBox1.Image = img1.Bitmap;
{
MatImage m2 = new MatImage(img2);
m2.ResizeTo(pictureBox2.Width, pictureBox2.Height);
img2 = m2.Out();
}
pictureBox2.Image = img2.Bitmap;
}
else // white
{
Mat img1 = Form1.whiteSourceImages[num - Form1.blackSourceImages.Count].Clone();
Mat img2 = Form1.whiteSourceImages[num - Form1.blackSourceImages.Count].Clone();
img2.SetTo(new MCvScalar(0));
//Form1.whiteContourMaps[firstAppear + listBox1.SelectedIndex].DrawTo(img1);
//Form1.whiteContourMaps[firstAppear + listBox1.SelectedIndex].DrawColorTo(img2);
{
MatImage m1 = new MatImage(img1);
m1.ResizeTo(pictureBox1.Width, pictureBox1.Height);
img1 = m1.Out();
}
pictureBox1.Image = img1.Bitmap;
{
MatImage m2 = new MatImage(img2);
m2.ResizeTo(pictureBox2.Width, pictureBox2.Height);
img2 = m2.Out();
}
pictureBox2.Image = img2.Bitmap;
}
}
private void displayFragments(PictureBox pb)
{
// determine the index of the first contour map for a image
int firstAppear = 0;
bool blackOrWhite = false;
foreach (ColorfulContourMap cmap in Form1.blackContourMaps)
{
if (cmap.imageIndex == num)
{
blackOrWhite = false;
goto black;
}
firstAppear++;
}
firstAppear = 0;
foreach (ColorfulContourMap cmap in Form1.whiteContourMaps)
{
if (cmap.imageIndex == num - Form1.blackSourceImages.Count)
{
blackOrWhite = true;
break;
}
firstAppear++;
}
black:
if (!blackOrWhite)
{
Mat img1 = new Mat();
if (pb == pictureBox3)
{
ind1 = firstAppear + listBox1.SelectedIndex;
img1 = Form1.blackCroppedImages[ind1].Clone();
Form1.blackContourMaps[ind1].DrawTo(img1);
}
else
{
ind2 = firstAppear + listBox1.SelectedIndex;
img1 = Form1.blackCroppedImages[ind2].Clone();
Form1.blackContourMaps[ind2].DrawTo(img1);
}
{
MatImage m2 = new MatImage(img1);
m2.ResizeTo(pb.Width, pb.Height);
img1 = m2.Out();
}
pb.Image = img1.Bitmap;
blackOWhite = false;
}
else
{
Mat img1 = new Mat();
if (pb == pictureBox3)
{
ind1 = firstAppear + listBox1.SelectedIndex;
img1 = Form1.whiteCroppedImages[ind1].Clone();
Form1.whiteContourMaps[ind1].DrawTo(img1);
}
else
{
ind2 = firstAppear + listBox1.SelectedIndex;
img1 = Form1.whiteCroppedImages[ind2].Clone();
Form1.whiteContourMaps[ind2].DrawTo(img1);
}
{
MatImage m2 = new MatImage(img1);
m2.ResizeTo(pb.Width, pb.Height);
img1 = m2.Out();
}
pb.Image = img1.Bitmap;
blackOWhite = true;
}
}
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 void button6_Click(object sender, EventArgs e)
{
OpenFileDialog Openfile = new OpenFileDialog();
if (Openfile.ShowDialog() == DialogResult.OK)
{
long start = DateTime.Now.ToFileTime() * 10 / 1000000;
for (int i = 0; i < 1; i++)
{
mimg = new Mat(Openfile.FileName, LoadImageType.AnyColor);
// block for using my helper class for Mat
{
// pipeline for using my helper class
// load
MatImage m1 = new MatImage(mimg);
// operations
m1.Resize(0.5);
// other operations
// output
mimg = m1.Out();
}
pictureBox2.Image = mimg.Bitmap;
}
Console.WriteLine(DateTime.Now.ToFileTime() * 10 / 1000000 - start);
}
}
//Transform images according to transform matrix
// From Line 130-239
public static ReturnColorImg transformColor(Mat img1, Mat mask1, Mat img2, Mat mask2,
Mat dst, Mat dst_mask,
Point centroid1, Point centroid2, double angle, Point tweak1, Point tweak2, bool mode = true)
{
Mat E = img2.Clone();
Mat E_mask = mask2.Clone();//Don't ruin original images
double intersections = 0;
double x = centroid2.X;
double y = centroid2.Y;
double _x, _y, _y2;
double y2;
LineSegment2D centerLine = new LineSegment2D(new Point((int)x, (int)y), new Point(img2.Width - (int)x, img2.Height - (int)y));
//Rectangle r=new Rectangle((int)x,(int)y,2*(img2.Width-(int)x),2*(img2.Height-(int)y));
Mat ri = new Mat(2 * (img2.Width - (int)x), 2 * (img2.Height - (int)y), DepthType.Cv8U, 3);
ri.SetTo(new MCvScalar(255, 255, 255));
Point oldc = new Point((int)x, (int)y);
bool success = false; // if the tweaking is not successful, return false
// inverse y axis
// y2 = -y;
// rotation of centeroid
x -= img2.Width / 2;
y -= img2.Height / 2; //shift origin to (w/2,h/2)
_x = x * Math.Cos(angle / (180 / Math.PI)) - y * Math.Sin(angle / (180 / Math.PI)); //rotate by theta
_y = x * Math.Sin(angle / (180 / Math.PI)) + y * Math.Cos(angle / (180 / Math.PI));
_x += img2.Width / 2;
_y += img2.Height / 2;//back to origin
//_x = x+img2.Width/2;
//_y = y+img2.Height/2;
// inverse y axis
//_y = -_y2;
centroid2.X = (int)_x;
centroid2.Y = (int)_y;
Point shift = new Point();
shift.X = centroid1.X - centroid2.X;
shift.Y = centroid1.Y - centroid2.Y;
MatImage m1 = new MatImage(E);
m1.Rotate(angle, new Bgr(255, 255, 255));
E = m1.Out();
MatImage m2 = new MatImage(E_mask);
m1.Rotate(angle, new Bgr(255, 255, 255));
E_mask = m2.Out();
//Find optimal size of canvas to hold both images and appropriate transformations
Point t1, t2;//transformation 1 and 2
t1 = new Point();
t2 = new Point();
int optimal_h = 0, optimal_w = 0;//of canvas(IplImage* dst)
switch (quadrant(shift))
{
case 1:
t1.X = 0;
t1.Y = 0;
t2 = shift;
optimal_h = Math.Max(img1.Height, img2.Height + shift.Y);
optimal_w = Math.Max(img1.Width, img2.Width + shift.X);
break;
case 2:
t1.X = -shift.X;
t1.Y = 0;
t2.X = 0;
t2.Y = shift.Y;
optimal_h = Math.Max(img1.Height, img2.Height + shift.Y);
optimal_w = Math.Max(img2.Width, img1.Width - shift.X);
break;
case 3:
t1.X = -shift.X;
t1.Y = -shift.Y;
t2.X = 0;
t2.Y = 0;
optimal_h = Math.Max(img1.Height - shift.Y, img2.Height);
optimal_w = Math.Max(img1.Width - shift.X, img2.Width);
break;
case 4:
t1.X = 0;
t1.Y = -shift.Y;
t2.X = shift.X;
t2.Y = 0;
optimal_h = Math.Max(img1.Height - shift.Y, img2.Height);
optimal_w = Math.Max(img2.Width + shift.X, img1.Width);
break;
}
// add tweak factor
t1.X += tweak1.X;
t1.Y += tweak1.Y;
t2.X += tweak2.X;
t2.Y += tweak2.Y;
//optimal_h = 1000;
//optimal_w = 1000;
dst = new Mat(optimal_h, optimal_w, DepthType.Cv8U, 3);
dst_mask = new Mat(optimal_h, optimal_w, DepthType.Cv8U, 3);
if (mode)
{
dst.SetTo(new MCvScalar(255, 255, 255)); // white background=255, black background=0
}
else
{
dst.SetTo(new MCvScalar(0, 0, 0)); // white background=255, black background=0
}
dst_mask.SetTo(new MCvScalar(0, 0, 0));
/*if (BKG_WHITE)
* cvSet(dst, cvScalar(255));//make it white
* else
* cvSet(dst, cvScalar(0));//make it black*/
for (int i = 0; i < img1.Height; ++i)
{
for (int j = 0; j < img1.Width; ++j)
{
// if black background
if (mode)
{
if (mask1.GetData(i, j)[0] != 255)
{
int i_new = i + t1.Y;
int j_new = j + t1.X;
try
{
dst.SetValue(i_new, j_new, img1.GetData(i, j));
int[] vals = { 255, 255, 255 };
dst_mask.SetValue(i_new, j_new, vals);
}
catch (IndexOutOfRangeException e)
{
//MessageBox.Show("You cannot tweak in that direction further");
success = false;
goto ret;
}
}
}
// if white background
else
{
if (mask1.GetData(i, j) [0] != 0)
{
int i_new = i + t1.Y;
int j_new = j + t1.X;
try
{
dst.SetValue(i_new, j_new, img1.GetData(i, j));
int[] vals = { 0, 0, 0 };
dst_mask.SetValue(i_new, j_new, vals);
}
catch (IndexOutOfRangeException e)
{
//MessageBox.Show("You cannot tweak in that direction further");
success = false;
goto ret;
}
}
}
}
}
//Apply transformation to image2
for (int i = 0; i < img2.Height; ++i)
{
for (int j = 0; j < img2.Width; ++j)
{
// if black background
if (mode)
{
if (E_mask.GetData(i, j) [0] != 255)
{
int i_new = i + t2.Y;
int j_new = j + t2.X;
try
{
if (dst_mask.GetData(i_new, j_new)[0] != 0)
{
intersections++;
}
else
{
dst.SetValue(i_new, j_new, E.GetData(i, j));
int[] vals = { 255, 255, 255 };
dst_mask.SetValue(i_new, j_new, vals);
}
}
catch (IndexOutOfRangeException e)
{
//MessageBox.Show("You cannot tweak in that direction further");
success = false;
goto ret;
}
}
}
// else if white background
else
{
if (E_mask.GetData(i, j)[0] != 0)
{
int i_new = i + t2.Y;
int j_new = j + t2.X;
try
{
if (dst_mask.GetData(i_new, j_new)[0] != 0)
{
intersections++;
}
else
{
dst.SetValue(i_new, j_new, E.GetData(i, j));
int[] vals = { 0, 0, 0 };
dst_mask.SetValue(i_new, j_new, vals);
}
}
catch (IndexOutOfRangeException e)
{
//MessageBox.Show("You cannot tweak in that direction further");
success = false;
goto ret;
}
}
}
}
}
/*for (int i = 0; i < Adst.Length; i++)
* {
* for(int j=0; j < Adst[0].Length; j++)
* {
* dst.SetValue(i, j, Adst[i][j]);
* }
* }
* for (int i = 0; i < Adst_mask.Length; i++)
* {
* for (int j = 0; j < Adst_mask[0].Length; j++)
* {
* dst_mask.SetValue(i, j, Adst_mask[i][j]);
* }
* }*/
// dst.SetTo(Adst);
//dst_mask.SetTo(Adst_mask);
success = true;
/*cvReleaseImage(&E);
* cvReleaseImage(&E_mask);*/// should not need these two lines because of garbage collection
// threshold detection is meaningless for 2-piece case, always success
ret:
if (intersections > Constants.THRESHOLD)
{
/*cvReleaseImage(&dst);//In case of failure in joining
* cvReleaseImage(&dst_mask);//release memory*/
ReturnColorImg img = new ReturnColorImg();
img.img = dst;
img.img_mask = dst_mask;
img.source1 = img1;
img.source2 = E_mask;
img.center1 = centroid1;
img.center2old = oldc;
img.center2new = centroid2;
img.centerLinee = centerLine;
img.returnbool = false; // for determining if the image is matched or not
img.translate1 = t1;
img.translate2 = t2;
img.overlap = intersections;
img.success = success; // for tweak only
return(img);
}
else
{
ReturnColorImg img = new ReturnColorImg();
img.img = dst;
img.img_mask = dst_mask;
img.source1 = img1;
img.source2 = E_mask;
img.center1 = centroid1;
img.center2old = oldc;
img.center2new = centroid2;
img.centerLinee = centerLine;
img.returnbool = true; // for determining if the image is matched or not
img.translate1 = t1;
img.translate2 = t2;
img.overlap = intersections;
img.success = success; // for tweak only
return(img);
}
}
private Mat generateThumbnail(Mat input)
{
MatImage m1 = new MatImage(input);
m1.ResizeTo(150, 150);
return m1.Out();
}
private void button4_Click(object sender, EventArgs e)
{
long start = DateTime.Now.ToFileTime() * 10 / 1000000;
for (int i = 0; i < 1000; i++)
{
MatImage m1 = new MatImage(mimg);
m1.Translate(-1 + 2*i % 2, -1 + 2*i % 2); // don't let the picture move out of the box
// engineering code
Mat mim = m1.Out();
pictureBox2.Image = mim.Bitmap;
}
Console.WriteLine(DateTime.Now.ToFileTime() * 10 / 1000000 - start);
}
// get all of the valid contour maps, valid means circumfence > 200 px
// this was not in their code, I added this feature, but I used their logic
public static List<ColorfulContourMap> getAllContourMap(Mat input, int index, int mode = 0)
{
// use for all members
List<ColorfulContourMap> result = new List<ColorfulContourMap>();
MatImage m1 = new MatImage(input);
m1.Convert();
Mat gray = m1.Out();
// use for black background
if (mode == 0)
{
MatImage m2 = new MatImage(gray);
m2.SmoothGaussian(3);
m2.ThresholdBinaryInv(245, 255);
gray = m2.Out();
}
// use for white background
else
{
MatImage m2 = new MatImage(gray);
m2.SmoothGaussian(3);
m2.ThresholdBinaryInv(100, 255);
gray = m2.Out();
}
// one time use
List<Point> pointList = new List<Point>();
List<Point> polyPointList = new List<Point>();
List<ColorfulPoint> cps = new List<ColorfulPoint>();
List<ColorfulPoint> pcps = new List<ColorfulPoint>();
// fetch all the contours using Emgu CV
// fetch all the polys using Emgu CV
// extract the points and colors
Mat temp = gray.Clone();
VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint();
CvInvoke.FindContours(gray, contours, new Mat(), RetrType.List, ChainApproxMethod.ChainApproxNone);
double area = Math.Abs(CvInvoke.ContourArea(contours[0]));
VectorOfPoint maxArea = contours[0]; // maxArea is used as the current contour
//contour = contour.HNext;
// use this to loop
for (int i = 0; i < contours.Size; i++)
{
double nextArea = Math.Abs(CvInvoke.ContourArea(contours[i], false)); // Find the area of contour
area = nextArea;
if (area >= Constants.MIN_AREA)
{
maxArea = contours[i];
VectorOfPoint poly = new VectorOfPoint();
CvInvoke.ApproxPolyDP(maxArea, poly, 1.0, true);
pointList = maxArea.ToArray().ToList();
polyPointList = poly.ToArray().ToList();
foreach (Point p in pointList)
{
ColorfulPoint cp = new ColorfulPoint { X = p.X, Y = p.Y, color = extractPointColor(p, input) };
cps.Add(cp);
}
foreach (Point p in polyPointList)
{
ColorfulPoint cp = new ColorfulPoint { X = p.X, Y = p.Y, color = extractPointColor(p, input) };
pcps.Add(cp);
}
result.Add(new ColorfulContourMap(cps, pcps, index));
// clear temporal lists
pointList = new List<Point>();
polyPointList = new List<Point>();
cps = new List<ColorfulPoint>();
pcps = new List<ColorfulPoint>();
}
}
return result;
}
//Transform images according to transform matrix
// From Line 130-239
public static ReturnColorImg transformColor(Mat img1, Mat mask1, Mat img2, Mat mask2,
Mat dst, Mat dst_mask,
Point centroid1, Point centroid2, double angle, Point tweak1, Point tweak2, bool mode = true)
{
Mat E = img2.Clone();
Mat E_mask = mask2.Clone();//Don't ruin original images
double intersections = 0;
double x = centroid2.X;
double y = centroid2.Y;
double _x, _y, _y2;
double y2;
LineSegment2D centerLine = new LineSegment2D(new Point((int)x, (int)y), new Point(img2.Width - (int)x, img2.Height - (int)y));
//Rectangle r=new Rectangle((int)x,(int)y,2*(img2.Width-(int)x),2*(img2.Height-(int)y));
Mat ri = new Mat(2 * (img2.Width - (int)x), 2 * (img2.Height - (int)y),DepthType.Cv8U, 3);
ri.SetTo(new MCvScalar(255, 255, 255));
Point oldc = new Point((int)x, (int)y);
bool success = false; // if the tweaking is not successful, return false
// inverse y axis
// y2 = -y;
// rotation of centeroid
x -= img2.Width / 2;
y -= img2.Height / 2;//shift origin to (w/2,h/2)
_x = x * Math.Cos(angle / (180 / Math.PI)) - y * Math.Sin(angle / (180 / Math.PI));//rotate by theta
_y = x * Math.Sin(angle / (180 / Math.PI)) + y * Math.Cos(angle / (180 / Math.PI));
_x += img2.Width / 2;
_y += img2.Height / 2;//back to origin
//_x = x+img2.Width/2;
//_y = y+img2.Height/2;
// inverse y axis
//_y = -_y2;
centroid2.X = (int)_x;
centroid2.Y = (int)_y;
Point shift = new Point();
shift.X = centroid1.X - centroid2.X;
shift.Y = centroid1.Y - centroid2.Y;
MatImage m1 = new MatImage(E);
m1.Rotate(angle, new Bgr(255, 255, 255));
E = m1.Out();
MatImage m2 = new MatImage(E_mask);
m1.Rotate(angle, new Bgr(255, 255, 255));
E_mask = m2.Out();
//Find optimal size of canvas to hold both images and appropriate transformations
Point t1, t2;//transformation 1 and 2
t1 = new Point();
t2 = new Point();
int optimal_h = 0, optimal_w = 0;//of canvas(IplImage* dst)
switch (quadrant(shift))
{
case 1:
t1.X = 0;
t1.Y = 0;
t2 = shift;
optimal_h = Math.Max(img1.Height, img2.Height + shift.Y);
optimal_w = Math.Max(img1.Width, img2.Width + shift.X);
break;
case 2:
t1.X = -shift.X;
t1.Y = 0;
t2.X = 0;
t2.Y = shift.Y;
optimal_h = Math.Max(img1.Height, img2.Height + shift.Y);
optimal_w = Math.Max(img2.Width, img1.Width - shift.X);
break;
case 3:
t1.X = -shift.X;
t1.Y = -shift.Y;
t2.X = 0;
t2.Y = 0;
optimal_h = Math.Max(img1.Height - shift.Y, img2.Height);
optimal_w = Math.Max(img1.Width - shift.X, img2.Width);
break;
case 4:
t1.X = 0;
t1.Y = -shift.Y;
t2.X = shift.X;
t2.Y = 0;
optimal_h = Math.Max(img1.Height - shift.Y, img2.Height);
optimal_w = Math.Max(img2.Width + shift.X, img1.Width);
break;
}
// add tweak factor
t1.X += tweak1.X;
t1.Y += tweak1.Y;
t2.X += tweak2.X;
t2.Y += tweak2.Y;
//optimal_h = 1000;
//optimal_w = 1000;
dst = new Mat(optimal_h, optimal_w,DepthType.Cv8U,3);
dst_mask = new Mat(optimal_h, optimal_w,DepthType.Cv8U,3);
if (mode)
{
dst.SetTo(new MCvScalar(255, 255, 255)); // white background=255, black background=0
}
else
{
dst.SetTo(new MCvScalar(0, 0, 0)); // white background=255, black background=0
}
dst_mask.SetTo(new MCvScalar(0, 0, 0));
/*if (BKG_WHITE)
cvSet(dst, cvScalar(255));//make it white
else
cvSet(dst, cvScalar(0));//make it black*/
for (int i = 0; i < img1.Height; ++i)
{
for (int j = 0; j < img1.Width; ++j)
{
// if black background
if (mode)
{
if (mask1.GetData(i, j)[0] != 255)
{
int i_new = i + t1.Y;
int j_new = j + t1.X;
try
{
dst.SetValue(i_new, j_new, img1.GetData(i, j));
int[] vals = { 255, 255, 255 };
dst_mask.SetValue(i_new, j_new, vals);
}
catch(IndexOutOfRangeException e)
{
//MessageBox.Show("You cannot tweak in that direction further");
success = false;
goto ret;
}
}
}
// if white background
else
{
if (mask1.GetData(i, j) [0] != 0)
{
int i_new = i + t1.Y;
int j_new = j + t1.X;
try
{
dst.SetValue(i_new, j_new, img1.GetData(i, j));
int[] vals = { 0, 0, 0 };
dst_mask.SetValue(i_new, j_new, vals);
}
catch(IndexOutOfRangeException e)
{
//MessageBox.Show("You cannot tweak in that direction further");
success = false;
goto ret;
}
}
}
}
}
//Apply transformation to image2
for (int i = 0; i < img2.Height; ++i)
{
for (int j = 0; j < img2.Width; ++j)
{
// if black background
if (mode)
{
if (E_mask.GetData(i, j) [0] != 255)
{
int i_new = i + t2.Y;
int j_new = j + t2.X;
try
{
if (dst_mask.GetData(i_new,j_new)[0] != 0)
{
intersections++;
}
else
{
dst.SetValue(i_new, j_new, E.GetData(i, j));
int[] vals = { 255, 255, 255 };
dst_mask.SetValue(i_new, j_new, vals);
}
}
catch (IndexOutOfRangeException e)
{
//MessageBox.Show("You cannot tweak in that direction further");
success = false;
goto ret;
}
}
}
// else if white background
else
{
if (E_mask.GetData(i, j)[0] != 0)
{
int i_new = i + t2.Y;
int j_new = j + t2.X;
try
{
if (dst_mask.GetData(i_new, j_new)[0] != 0)
{
intersections++;
}
else
{
dst.SetValue(i_new, j_new, E.GetData(i, j));
int[] vals = { 0, 0, 0 };
dst_mask.SetValue(i_new, j_new, vals);
}
}
catch (IndexOutOfRangeException e)
{
//MessageBox.Show("You cannot tweak in that direction further");
success = false;
goto ret;
}
}
}
}
}
/*for (int i = 0; i < Adst.Length; i++)
{
for(int j=0; j < Adst[0].Length; j++)
{
dst.SetValue(i, j, Adst[i][j]);
}
}
for (int i = 0; i < Adst_mask.Length; i++)
{
for (int j = 0; j < Adst_mask[0].Length; j++)
{
dst_mask.SetValue(i, j, Adst_mask[i][j]);
}
}*/
// dst.SetTo(Adst);
//dst_mask.SetTo(Adst_mask);
success = true;
/*cvReleaseImage(&E);
cvReleaseImage(&E_mask);*/ // should not need these two lines because of garbage collection
// threshold detection is meaningless for 2-piece case, always success
ret:
if (intersections > Constants.THRESHOLD)
{
/*cvReleaseImage(&dst);//In case of failure in joining
cvReleaseImage(&dst_mask);//release memory*/
ReturnColorImg img = new ReturnColorImg();
img.img = dst;
img.img_mask = dst_mask;
img.source1 = img1;
img.source2 = E_mask;
img.center1 = centroid1;
img.center2old = oldc;
img.center2new = centroid2;
img.centerLinee = centerLine;
img.returnbool = false; // for determining if the image is matched or not
img.translate1 = t1;
img.translate2 = t2;
img.overlap = intersections;
img.success = success; // for tweak only
return img;
}
else
{
ReturnColorImg img = new ReturnColorImg();
img.img = dst;
img.img_mask = dst_mask;
img.source1 = img1;
img.source2 = E_mask;
img.center1 = centroid1;
img.center2old = oldc;
img.center2new = centroid2;
img.centerLinee = centerLine;
img.returnbool = true; // for determining if the image is matched or not
img.translate1 = t1;
img.translate2 = t2;
img.overlap = intersections;
img.success = success; // for tweak only
return img;
}
}
