//**********************************************************************************************************************************************************************************************
/// <summary>
/// Find corners, extract the edges and classify the piece
/// </summary>
private void process()
{
Bitmap bwImg = PieceImgBw.Bmp;
Bitmap colorImg = PieceImgColor.Bmp;
corners.Clear();
PluginGroupFindPieceCorners pluginFindPieceCorners = PluginFactory.GetEnabledPluginsOfGroupType<PluginGroupFindPieceCorners>().FirstOrDefault();
corners.Push(pluginFindPieceCorners?.FindCorners(PieceID, bwImg, colorImg).ToArray());
bwImg.Dispose();
colorImg.Dispose();
extract_edges();
classify();
}
private void button2_Click(object sender, EventArgs e)
{
textBox4.Clear();
textBox5.Clear();
textBox6.Clear();
try
{
if (imgInput == null)
{
MessageBox.Show("Please select an image");
return;
}
var img = imgInput;
imgOut = new Image <Gray, byte>(imgInput.Width, imgInput.Height, new Gray(0));
var gray = imgInput.Convert <Gray, byte>().ThresholdBinaryInv(new Gray(140), new Gray(255));
var gray2 = imgInput.Convert <Gray, byte>().ThresholdBinaryInv(new Gray(140), new Gray(255));
//var gray = imgCanny.Convert<Gray, byte>().ThresholdBinaryInv(new Gray(125), new Gray(255));
//Contours
VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint();
Mat h = new Mat();
CvInvoke.FindContours(gray, contours, h, Emgu.CV.CvEnum.RetrType.External,
Emgu.CV.CvEnum.ChainApproxMethod.ChainApproxSimple);
VectorOfPoint approx = new VectorOfPoint();
Dictionary <int, double> shapes = new Dictionary <int, double>();
Dictionary <int, double> shapes2 = new Dictionary <int, double>();
Dictionary <int, double> shapes3 = new Dictionary <int, double>();
Dictionary <int, double> shapes4 = new Dictionary <int, double>();
for (int i = 0; i < contours.Size; i++)
{
approx.Clear();
double perimeter = CvInvoke.ArcLength(contours[i], true);
KomaPerimeter = Math.Round(perimeter, 2); // membatasi angka
CvInvoke.ApproxPolyDP(contours[i], approx, 0.04 * perimeter, true);
double area = CvInvoke.ContourArea(contours[i]);
if (approx.Size > 0 && area < 220000 && area > 60000 && perimeter < 2100)
{
shapes.Add(i, area);
shapes2.Add(i, KomaPerimeter);
shapes3.Add(i, KomaPerimeter);
}
}
if (shapes.Count > 0)
{
var sortedShapes = (from item in shapes
orderby item.Value ascending
select item).ToList();
for (int i = 0; i < sortedShapes.Count; i++)
{
CvInvoke.DrawContours(img, contours, sortedShapes[i].Key, new MCvScalar(255, 0, 0), 2);
var moments = CvInvoke.Moments(contours[sortedShapes[i].Key]);
int x = (int)(moments.M10 / moments.M00);
int y = (int)(moments.M01 / moments.M00);
textBox6.Text = sortedShapes[i].Value.ToString();
fitur_area = sortedShapes[i].Value.ToString();
}
var sortedShapes2 = (from item in shapes2
orderby item.Value ascending
select item).ToList();
for (int i = 0; i < sortedShapes2.Count; i++)
{
CvInvoke.DrawContours(img, contours, sortedShapes2[i].Key, new MCvScalar(255, 255, 0), 1);
var moments = CvInvoke.Moments(contours[sortedShapes2[i].Key]);
int x = (int)(moments.M10 / moments.M00);
int y = (int)(moments.M01 / moments.M00);
textBox5.Text = sortedShapes2[i].Value.ToString();
fitur_perimeter = sortedShapes2[i].Value.ToString();
}
var sortedShapes3 = (from item in shapes3
orderby item.Value descending
select item).ToList();
for (int i = 0; i < sortedShapes3.Count; i++)
{
var moments = CvInvoke.Moments(contours[sortedShapes3[i].Key]);
int x = (int)(moments.M10 / moments.M00);
int y = (int)(moments.M01 / moments.M00);
img.Draw(new CircleF(new Point(x, y), 3), new Bgr(Color.Yellow), 3);
//Draw titik tengah
textBox4.Text = x.ToString() + ", " + y.ToString();
fitur_titik_tengah = x.ToString() + ", " + y.ToString();
}
}
pictureBox2.Image = img.Bitmap;
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
}
private void findHolesToolStripMenuItem_Click(object sender, EventArgs e)
{
try
{
if (pictureBox1.Image == null)
{
return;
}
var img = new Bitmap(pictureBox1.Image).ToImage <Bgr, byte>();
var gray = img.Convert <Gray, byte>()
.ThresholdBinaryInv(new Gray(240), new Gray(255));
// contours
VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint();
Mat h = new Mat();
CvInvoke.FindContours(gray, contours, h, Emgu.CV.CvEnum.RetrType.External
, Emgu.CV.CvEnum.ChainApproxMethod.ChainApproxSimple);
VectorOfPoint approx = new VectorOfPoint();
Dictionary <int, double> shapes = new Dictionary <int, double>();
for (int i = 0; i < contours.Size; i++)
{
approx.Clear();
double perimeter = CvInvoke.ArcLength(contours[i], true);
CvInvoke.ApproxPolyDP(contours[i], approx, 0.04 * perimeter, true);
double area = CvInvoke.ContourArea(contours[i]);
if (approx.Size > 6)
{
shapes.Add(i, area);
}
}
if (shapes.Count > 0)
{
var sortedShapes = (from item in shapes
orderby item.Value ascending
select item).ToList();
for (int i = 0; i < sortedShapes.Count; i++)
{
CvInvoke.DrawContours(img, contours, sortedShapes[i].Key, new MCvScalar(0, 0, 255), 2);
var moments = CvInvoke.Moments(contours[sortedShapes[i].Key]);
int x = (int)(moments.M10 / moments.M00);
int y = (int)(moments.M01 / moments.M00);
/*Initiale mask for flood filling - tut useless
* int height = img.Height;
* int width = img.Width;
* Mat mask = new Mat(width, height+4, DepthType.Cv8U, 1);
* CvInvoke.FloodFill(img, mask, new Point(x, y), new MCvScalar(255, 255, 255), out rect,
* new MCvScalar(155,155,155), new MCvScalar(255,255,255));
*/
CvInvoke.PutText(img, (i + 1).ToString(), new Point(x, y), Emgu.CV.CvEnum.FontFace.HersheyTriplex, 1.0,
new MCvScalar(0, 0, 255), 2);
CvInvoke.PutText(img, sortedShapes[i].Value.ToString(), new Point(x, y - 30), Emgu.CV.CvEnum.FontFace.HersheyTriplex, 1.0,
new MCvScalar(0, 0, 255), 2);
Console.WriteLine("X: " + x + ", Y: " + y);
// vzames x in y -> sepravi kjer je contour postavljen, gres cez zanke in pristevas dokler je piksel črn... recimo bo delal
int pixel = 0;
// za dimenzije
int x_desno_counter = 0;
int x_levo_counter = 0;
int x_sum = 0;
int y_spodnji_counter = 0;
int y_zgornji_counter = 0;
int y_sum = 0;
int tmp_x = x;
int tmp_y = y;
int area = 0;
/*ZA DOBIT X-E*/
while (true) // neskoncna pa jo pol breakam
{
if (img.Data[tmp_y, tmp_x, 0] < 255)
{
x_desno_counter++;
}
else
{
break;
}
//se pomaknemo desno -> povečamo x
tmp_x++;
}
tmp_x = x; //reseteram
while (true) // neskoncna pa jo pol breakam
{
if (img.Data[tmp_y, tmp_x, 0] < 255)
{
x_levo_counter++;
}
else
{
break;
}
//se pomaknemo levo -> zmanjsamo x
tmp_x--;
}
tmp_x = x;
/*ZA DOBIT Y-E*/
while (true) // neskoncna pa jo pol breakam
{
if (img.Data[tmp_y, tmp_x, 0] < 255)
{
y_spodnji_counter++;
}
else
{
break;
}
//se pomaknemo dol -> zmanjsamo y
tmp_y--;
}
tmp_y = y; //reseteram
while (true) // neskoncna pa jo pol breakam
{
if (img.Data[tmp_y, tmp_x, 0] < 255)
{
y_zgornji_counter++;
}
else
{
break;
}
//se pomaknemo gor -> povečamo y
tmp_y++;
}
//dobimo vsoto levih in desnih x pikslov
x_sum = x_desno_counter + x_levo_counter;
//dobimo vsoto zgornjih in spodnjih y pikslov
y_sum = y_zgornji_counter + y_spodnji_counter;
//dobimo začetke
int x_start = x - x_levo_counter;
int y_start = y + y_spodnji_counter;
area = x_sum + y_sum;
Console.WriteLine("AREA SUM BEFORE: " + area);
//dvojna zanka -> gremo čez kvadrat in štejemo samo črne piksle
for (int j = y_start; j < y_start + y_sum; j++)
{
for (int k = x_start; k < x_start + x_sum; k++)
{
if (img.Data[j, k, 0] < 255) // je črn piksel
{
area++; // povečamo ploščino
}
}
}
Console.WriteLine("X DESNI COUNTER: " + x_desno_counter);
Console.WriteLine("X LEVI COUNTER: " + x_levo_counter);
Console.WriteLine("Y ZGORNJI COUNTER: " + y_zgornji_counter);
Console.WriteLine("Y SPODNJI COUNTER: " + y_spodnji_counter);
Console.WriteLine("X SUM: " + x_sum);
Console.WriteLine("Y SUM: " + y_sum);
Console.WriteLine("X START: " + x_start);
Console.WriteLine("Y START: " + y_start);
Console.WriteLine("AREA: " + area);
Console.WriteLine("---------------------------------------------------------------");
//se zapisem v podatkovno bazo
Luknja luknja = new Luknja(x_sum, y_sum, area);
//connect to database
using (IDbConnection connection = new SqlConnection(Utility.ConnVal("ec38")))
{
//insert into table DelovniNalogi
connection.Query("INSERT INTO Holes(hole_height, hole_width, hole_area) VALUES(@height, @width, @area);",
new { height = luknja.Height, width = luknja.Width, area = luknja.Area });
}
}
/*BOLJ PRIBLIŽNE VREDNOSTI SO...*/
/* BIGGEST CONTOUR - USELESS
* double largest = sortedShapes[sortedShapes.Count - 1].Value;
* Console.WriteLine("largest contour: " + largest);
*/
}
pictureBox1.Image = img.ToBitmap();
}
catch (Exception ex)
{
MessageBox.Show("Try different threshold\n" + ex.Message);
}
}
