private void tresholding()
{
Bitmap bitmap = new Bitmap(imageWindow.getImage());
histoTab = new int[2];
for (int x = 0; x < bitmap.Width; x++)
{
for (int y = 0; y < bitmap.Height; y++)
{
Color c = bitmap.GetPixel(x, y);
if (c.R <= bottomValueTrackBar.Value)
{
bitmap.SetPixel(x, y, Color.FromArgb(0, 0, 0));
histoTab[0]++;
}
else
{
bitmap.SetPixel(x, y, Color.FromArgb(255, 255, 255));
histoTab[1]++;
}
}
}
pictureBox1.Image = bitmap;
maxBmpLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
HistogramOperations.clearHistogram(chart1);
chart1.Series["Series1"].Points.AddXY(0, histoTab[0]);
chart1.Series["Series1"].Points.AddXY(1, histoTab[1]);
}
private void grayscaleReduction()
{
Bitmap bm = new Bitmap(imageWindow.getImage());
for (int x = 0; x < bm.Width; x++)
{
for (int y = 0; y < bm.Height; y++)
{
Color c = bm.GetPixel(x, y);
var points = chartDrawing.Series["Series1"].Points;
for (int i = 0; i < points.Count - 1; ++i)
{
if (c.R >= points[i].XValue && c.R <= points[i + 1].XValue)
{
int q = Convert.ToInt32(points[i].YValues[0]);
Color color = Color.FromArgb(255, q, q, q);
bm.SetPixel(x, y, color);
}
}
}
}
pictureBox.Image = bm;
HistogramOperations.clearHistogram(chart1);
histoTab = HistogramOperations.drawHistogram(chart1, pictureBox.Image, maxBmpLevel);
}
public void setNewImage(Image image)
{
pictureBox1.Image = image;
maxBmpLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
HistogramOperations.clearHistogram(chart1);
histoTab = HistogramOperations.drawHistogram(chart1, pictureBox1.Image, maxBmpLevel);
}
public LinearOperations(ImageWindow imageWindow)
{
InitializeComponent();
this.imageWindow = imageWindow;
foreach (NumericUpDown numericUpDown in numericUpDownPanel.Controls)
{
numericUpDown.Minimum = -20;
numericUpDown.Maximum = 20;
}
imageMethodsComboBox.Items.Add("Wygładzanie K=1/9");
imageMethodsComboBox.Items.Add("Wygładzanie K=1/10");
imageMethodsComboBox.Items.Add("Wygładzanie K=1/16");
imageMethodsComboBox.Items.Add("Wyostrzanie Maska 1");
imageMethodsComboBox.Items.Add("Wyostrzanie Maska 2");
imageMethodsComboBox.Items.Add("Wyostrzanie Maska 3");
imageMethodsComboBox.Items.Add("Wyostrzanie Maska 4");
imageMethodsComboBox.Items.Add("Wyostrzanie Maska 5");
imageMethodsComboBox.Items.Add("Detekcja Krawędzi Maska 1");
imageMethodsComboBox.Items.Add("Detekcja Krawędzi Maska 2");
imageMethodsComboBox.Items.Add("Detekcja Krawędzi Maska 3");
imageMethodsComboBox.SelectedIndex = 0;
scalingMethodsComboBox.Items.Add("Metoda Proporcjonalna");
scalingMethodsComboBox.Items.Add("Metoda Trójwartościowa");
scalingMethodsComboBox.Items.Add("Metoda Obcinająca");
scalingMethodsComboBox.SelectedIndex = 0;
pictureBox1.Image = (Image)this.imageWindow.getImage().Clone();
maxBMPValue = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
minBMPValue = HistogramOperations.MinBmpLevel(pictureBox1.Image);
//minBMPValue = 0;
HistogramOperations.drawHistogram(chart1, pictureBox1.Image, maxBMPValue);
}
public GradientWindow(ImageWindow imageWindow)
{
InitializeComponent();
this.imageWindow = imageWindow;
pictureBox1.Image = (Image)imageWindow.getImage().Clone();
maxBMPLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
minBMPLevel = HistogramOperations.MinBmpLevel(pictureBox1.Image);
HistogramOperations.drawHistogram(chart1, pictureBox1.Image, maxBMPLevel);
masksComboBox.Items.Add("Maska Robertsa");
masksComboBox.Items.Add("Maska Sobela");
masksComboBox.Items.Add("Maski Prewitta");
masksComboBox.Items.Add("Maski Kirscha");
masksComboBox.SelectedIndex = 0;
scalingMethodsComboBox.Items.Add("Metoda Proporcjonalna");
scalingMethodsComboBox.Items.Add("Metoda Trójwartościowa");
scalingMethodsComboBox.Items.Add("Metoda Obcinająca");
scalingMethodsComboBox.SelectedIndex = 0;
directionComboBox.Items.Add("N");
directionComboBox.Items.Add("S");
directionComboBox.Visible = false;
directionLabel.Visible = false;
}
private void ButtonReset_Click(object sender, EventArgs e)
{
pictureBox1.Image = bitmapCopy;
acttualImage = new Image <Gray, byte>(bitmapCopy);
maxBMPLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
HistogramOperations.clearHistogram(chart1);
HistogramOperations.drawHistogram(chart1, pictureBox1.Image, maxBMPLevel);
}
private void previewButton_Click(object sender, EventArgs e)
{
operatioCalc();
pictureBox1.Image = currentImage;
HistogramOperations.clearHistogram(chart1);
HistogramOperations.drawHistogram(chart1, pictureBox1.Image, HistogramOperations.MaxBmpLevel(pictureBox1.Image));
acceptButton.Enabled = true;
}
public LogicalWindow(ImageWindow imageWindow)
{
InitializeComponent();
this.imageWindow = imageWindow;
pictureBox1.Image = (Image)imageWindow.getImage().Clone();
maxBMPLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
HistogramOperations.drawHistogram(chart1, pictureBox1.Image, maxBMPLevel);
}
private void cancelButton_Click(object sender, EventArgs e)
{
initializeReductionChart((int)domainUpDown1.SelectedItem);
HistogramOperations.clearHistogram(chart1);
pictureBox.Image = (Image)imageWindow.getImage().Clone();
histoTab = HistogramOperations.drawHistogram(chart1, pictureBox.Image, maxBmpLevel);
grayscaleReduction();
}
public void setNewImage(Image image, int[] histTab)
{
pictureBox1.Image = image;
maxBmpLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
HistogramOperations.clearHistogram(chart1);
histoTab = histTab;
chart1.Series["Series1"].Points.AddXY(0, histoTab[0]);
chart1.Series["Series1"].Points.AddXY(1, histoTab[1]);
}
public void losMethodHisto()
{
int hAvg = 0;
int R = 0;
int Hint = 0;
int[] left = new int[maxBmpLevel + 1];
int[] right = new int[maxBmpLevel + 1];
int[] newValue = new int[maxBmpLevel + 1];
for (int i = 0; i < histoTab.Length; i++)
{
hAvg += histoTab[i];
}
Bitmap bm = new Bitmap(pictureBox1.Image);
hAvg = hAvg / 256;
for (int Z = 0; Z < histoTab.Length; Z++)
{
left[Z] = R;
Hint = Hint + histoTab[Z];
while (Hint > hAvg)
{
Hint = Hint - hAvg;
R++;
}
right[Z] = R;
newValue[Z] = right[Z] - left[Z];
}
for (int x = 0; x < bm.Width; x++)
{
for (int y = 0; y < bm.Height; y++)
{
Color c = bm.GetPixel(x, y);
if (left[c.R] == right[c.R])
{
Color color = Color.FromArgb(255, left[c.R], left[c.R], left[c.R]);
bm.SetPixel(x, y, color);
}
else
{
Random rnd = new Random();
int los = rnd.Next(0, newValue[c.R]);
Color color = Color.FromArgb(255, left[c.R] + los, left[c.R] + los, left[c.R] + los);
bm.SetPixel(x, y, color);
}
}
}
pictureBox1.Image = bm;
maxBmpLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
HistogramOperations.clearHistogram(chart1);
histoTab = HistogramOperations.drawHistogram(chart1, pictureBox1.Image, maxBmpLevel);
}
public ImageWindow(Image image, string name)
{
InitializeComponent();
Text = name;
_image = image;
pictureBox1.Image = image;
maxBmpLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
histoTab = HistogramOperations.drawHistogram(chart1, pictureBox1.Image, maxBmpLevel);
}
private void ButtonReset_Click(object sender, EventArgs e)
{
firstDomainUpDown.SelectedIndex = 2;
secondDomainUpDown.SelectedIndex = 2;
pictureBox1.Image = (Image)imageWindow.getImage().Clone();
maxBMPLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
HistogramOperations.drawHistogram(chart1, pictureBox1.Image, maxBMPLevel);
}
public MorphologicalWindow(ImageWindow imageWindow)
{
InitializeComponent();
this.imageWindow = imageWindow;
pictureBox1.Image = (Image)imageWindow.getImage().Clone();
acttualImage = new Image <Gray, byte>((Bitmap)pictureBox1.Image);
maxBMPLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
HistogramOperations.drawHistogram(chart1, pictureBox1.Image, maxBMPLevel);
bitmapCopy = (Bitmap)imageWindow.getImage().Clone();
}
public StretchWindow(ImageWindow imageWindowRef)
{
InitializeComponent();
imageWindow = imageWindowRef;
pictureBox1.Image = (Image)imageWindowRef.getImage().Clone();
maxBmpLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
histoTab = HistogramOperations.drawHistogram(chart1, pictureBox1.Image, maxBmpLevel);
bottomValueTextBox.Text = bottomTrackBar.Value.ToString();
upperValueTextBox.Text = upperTrackBar.Value.ToString();
}
//To cloning window
private ImageWindow(string fp, PictureBox pB, string name)
{
InitializeComponent();
FilePath = fp;
Text = name;
_image = (Image)pB.Image.Clone();
pictureBox1.Image = _image;
maxBmpLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
histoTab = HistogramOperations.drawHistogram(chart1, pictureBox1.Image, maxBmpLevel);
}
public UOPWindow(ImageWindow imageWindow)
{
InitializeComponent();
this.imageWindow = imageWindow;
pictureBox.Image = (Image)imageWindow.getImage().Clone();
maxBmpLevel = HistogramOperations.MaxBmpLevel(pictureBox.Image);
histoTab = HistogramOperations.drawHistogram(chart1, pictureBox.Image, maxBmpLevel);
initializeUopChart();
uopCalc();
}
public ImageWindow(string fp, string name, MainWindow main)
{
_main = main;
InitializeComponent();
FilePath = fp;
Text = name;
_image = Image.FromFile(fp);
pictureBox1.Image = _image;
maxBmpLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
histoTab = HistogramOperations.drawHistogram(chart1, pictureBox1.Image, maxBmpLevel);
}
public void Thining()
{
Image <Gray, Byte> sourceImage = new Image <Gray, byte>((Bitmap)pictureBox1.Image);
Image <Gray, Byte> dstImage = new Image <Gray, Byte>(sourceImage.Width, sourceImage.Height);
XImgprocInvoke.Thinning(sourceImage, dstImage, ThinningTypes.ZhangSuen);
pictureBox1.Image = dstImage.ToBitmap();
maxBmpLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
HistogramOperations.clearHistogram(chart1);
histoTab = HistogramOperations.drawHistogram(chart1, pictureBox1.Image, maxBmpLevel);
}
public MedianWindow(ImageWindow imageWindow)
{
InitializeComponent();
this.imageWindow = imageWindow;
firstDomainUpDown.SelectedIndex = 2;
secondDomainUpDown.SelectedIndex = 2;
pictureBox1.Image = (Image)imageWindow.getImage().Clone();
maxBMPLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
HistogramOperations.drawHistogram(chart1, pictureBox1.Image, maxBMPLevel);
}
private void binaryOperation(Image image1, Image image2, OperationType operationType)
{
Bitmap bitmapImage1 = new Bitmap(image1);
Bitmap bitmapImage2 = new Bitmap(image2);
Bitmap bitmapNewImage = new Bitmap(bitmapImage1.Width, bitmapImage1.Height);
if (bitmapImage1.Width == bitmapImage2.Width && bitmapImage1.Height == bitmapImage2.Height)
{
for (int x = 0; x < bitmapImage1.Width; x++)
{
for (int y = 0; y < bitmapImage1.Height; y++)
{
Color c1 = bitmapImage1.GetPixel(x, y);
Color c2 = bitmapImage2.GetPixel(x, y);
int q = 0;
switch (operationType)
{
case OperationType.Add:
q = (c1.R + c2.R) / 2;
break;
case OperationType.Sub:
q = Math.Abs(c1.R - c2.R);
break;
case OperationType.Or:
q = c1.R | c2.R;
break;
case OperationType.And:
q = c1.R & c2.R;
break;
case OperationType.Xor:
q = c1.R ^ c2.R;
break;
}
bitmapNewImage.SetPixel(x, y, Color.FromArgb(255, q, q, q));
}
}
pictureBox1.Image = bitmapNewImage;
HistogramOperations.clearHistogram(chart1);
maxBmpLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
histoTab = HistogramOperations.drawHistogram(chart1, pictureBox1.Image, maxBmpLevel);
}
else
{
MessageBox.Show("Dla operacji dwuargumentowych, należy wybrać obrazy o takich samych wymiarach.", "Nie poprawne wymiary obrazów");
}
}
public void RegionGrowing()
{
Image <Bgr, Byte> img = new Image <Bgr, byte>((Bitmap)pictureBox1.Image);
Image <Gray, byte> grayImg = img.Convert <Gray, byte>();
Image <Gray, byte> binImg = new Image <Gray, byte>(grayImg.Size);
CvInvoke.Threshold(grayImg, binImg, 100, 255, ThresholdType.Otsu | ThresholdType.Binary);
pictureBox1.Image = binImg.ToBitmap();
maxBmpLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
HistogramOperations.clearHistogram(chart1);
histoTab = HistogramOperations.drawHistogram(chart1, pictureBox1.Image, maxBmpLevel);
}
private void cancelButton_Click(object sender, EventArgs e)
{
pictureBox1.Image = (Image)imageWindow.getImage().Clone();
maxBmpLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
HistogramOperations.clearHistogram(chart1);
histoTab = HistogramOperations.drawHistogram(chart1, pictureBox1.Image, maxBmpLevel);
bottomValueTrackBar.Value = 0;
upperValueTrackBar.Value = maxBmpLevel;
bottomValueLabel.Text = "0";
upperValueLabel.Text = maxBmpLevel.ToString();
}
private void previewButton_Click(object sender, EventArgs e)
{
Bitmap bm = new Bitmap(imageWindow.getImage());
Bitmap resultbBitmap = new Bitmap(imageWindow.getImage().Width, imageWindow.getImage().Height);
for (int x = 1; x < bm.Width - 1; x++)
{
for (int y = 1; y < bm.Height - 1; y++)
{
if (uprightRadioButton.Checked)
{
if (bm.GetPixel(x, y - 1).R == bm.GetPixel(x, y + 1).R)
{
resultbBitmap.SetPixel(x, y, bm.GetPixel(x, y + 1));
}
else
{
resultbBitmap.SetPixel(x, y, bm.GetPixel(x, y));
}
}
else if (horizontallyRadioButton.Checked)
{
if (bm.GetPixel(x - 1, y).R == bm.GetPixel(x + 1, y).R)
{
resultbBitmap.SetPixel(x, y, bm.GetPixel(x + 1, y));
}
else
{
resultbBitmap.SetPixel(x, y, bm.GetPixel(x, y));
}
}
else if (bothRadioButton.Checked)
{
if (bm.GetPixel(x, y - 1) == bm.GetPixel(x, y + 1) && bm.GetPixel(x - 1, y) == bm.GetPixel(x + 1, y) && bm.GetPixel(x - 1, y) == bm.GetPixel(x, y - 1))
{
resultbBitmap.SetPixel(x, y, bm.GetPixel(x, y - 1));
}
else
{
resultbBitmap.SetPixel(x, y, bm.GetPixel(x, y));
}
}
}
}
pictureBox1.Image = resultbBitmap;
HistogramOperations.clearHistogram(chart1);
maxBMPLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
HistogramOperations.drawHistogram(chart1, pictureBox1.Image, maxBMPLevel);
acceptButton.Enabled = true;
}
public TresholdingWindow(ImageWindow imageWindow)
{
InitializeComponent();
this.imageWindow = imageWindow;
pictureBox1.Image = (Image)imageWindow.getImage().Clone();
maxBmpLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
histoTab = HistogramOperations.drawHistogram(chart1, pictureBox1.Image, maxBmpLevel);
//TrackBars and labels init
bottomValueTrackBar.Maximum = maxBmpLevel;
upperValueTrackBar.Maximum = maxBmpLevel;
bottomValueLabel.Text = "0";
upperValueLabel.Text = maxBmpLevel.ToString();
}
public void negacja()
{
Bitmap bitmap = new Bitmap(pictureBox1.Image);
for (int x = 0; x < bitmap.Width; x++)
{
for (int y = 0; y < bitmap.Height; y++)
{
Color currentPixelColor = bitmap.GetPixel(x, y);
Color newColor = Color.FromArgb(maxBmpLevel - currentPixelColor.R, maxBmpLevel - currentPixelColor.G, maxBmpLevel - currentPixelColor.B);
bitmap.SetPixel(x, y, newColor);
}
}
pictureBox1.Image = bitmap;
maxBmpLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
HistogramOperations.clearHistogram(chart1);
histoTab = HistogramOperations.drawHistogram(chart1, pictureBox1.Image, maxBmpLevel);
}
private void ButtonPreview_Click(object sender, EventArgs e)
{
Image <Gray, Byte> sourceImage = acttualImage;
Image <Gray, Byte> dstImage = new Image <Gray, Byte>(sourceImage.Width, sourceImage.Height);
Mat structuringElement;
if (radioButtonFourNeighbors.Checked)
{
structuringElement = CvInvoke.GetStructuringElement(Emgu.CV.CvEnum.ElementShape.Cross, new Size(3, 3), new Point(-1, -1));
}
else
{
structuringElement = CvInvoke.GetStructuringElement(Emgu.CV.CvEnum.ElementShape.Rectangle, new Size(3, 3), new Point(-1, -1));
}
if (radioButtonErode.Checked)
{
CvInvoke.Erode(sourceImage, dstImage, structuringElement, new Point(-1, -1), (int)numericUpDownIterations.Value, Emgu.CV.CvEnum.BorderType.Replicate, new MCvScalar(1));
}
else if (radioButtonDilatation.Checked)
{
CvInvoke.Dilate(sourceImage, dstImage, structuringElement, new Point(-1, -1), (int)numericUpDownIterations.Value, Emgu.CV.CvEnum.BorderType.Reflect, new MCvScalar(1));
}
else if (radioButtonOpen.Checked)
{
CvInvoke.MorphologyEx(sourceImage, dstImage, Emgu.CV.CvEnum.MorphOp.Open, structuringElement, new Point(-1, -1), (int)numericUpDownIterations.Value, Emgu.CV.CvEnum.BorderType.Reflect, new MCvScalar(1));
}
else if (radioButtonClose.Checked)
{
CvInvoke.MorphologyEx(sourceImage, dstImage, Emgu.CV.CvEnum.MorphOp.Close, structuringElement, new Point(-1, -1), (int)numericUpDownIterations.Value, Emgu.CV.CvEnum.BorderType.Reflect, new MCvScalar(1));
}
acttualImage = dstImage;
pictureBox1.Image = dstImage.ToBitmap();
maxBMPLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
HistogramOperations.clearHistogram(chart1);
HistogramOperations.drawHistogram(chart1, pictureBox1.Image, maxBMPLevel);
buttonSave.Enabled = true;
}
private void maintainingTresholding()
{
Bitmap bitmap = new Bitmap(imageWindow.getImage());
for (int x = 0; x < bitmap.Width; x++)
{
for (int y = 0; y < bitmap.Height; y++)
{
Color c = bitmap.GetPixel(x, y);
if (c.R <= bottomValueTrackBar.Value || c.R >= upperValueTrackBar.Value)
{
bitmap.SetPixel(x, y, Color.FromArgb(0, 0, 0));
histoTab[0]++;
}
}
}
pictureBox1.Image = bitmap;
maxBmpLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
HistogramOperations.clearHistogram(chart1);
histoTab = HistogramOperations.drawHistogram(chart1, pictureBox1.Image, maxBmpLevel);
}
public GrayscaleReductionWindow(ImageWindow imageWindow)
{
InitializeComponent();
this.imageWindow = imageWindow;
pictureBox.Image = (Image)imageWindow.getImage().Clone();
maxBmpLevel = HistogramOperations.MaxBmpLevel(pictureBox.Image);
histoTab = HistogramOperations.drawHistogram(chart1, pictureBox.Image, maxBmpLevel);
initializeReductionChart(2);
for (int i = 29; i > 1; --i)
{
domainUpDown1.Items.Add(i);
}
domainUpDown1.SelectedIndex = 27;
chartDrawing.ChartAreas[0].AxisX.Maximum = maxBmpLevel;
chartDrawing.ChartAreas[0].AxisX.Minimum = 0;
chartDrawing.ChartAreas[0].AxisY.Maximum = maxBmpLevel;
chartDrawing.ChartAreas[0].AxisY.Minimum = 0;
}
private void stretchHisto()
{
Bitmap bm = new Bitmap(imageWindow.getImage());
for (int x = 0; x < bm.Width; x++)
{
for (int y = 0; y < bm.Height; y++)
{
Color c = bm.GetPixel(x, y);
if (c.R >= bottomTrackBar.Value && c.R < upperTrackBar.Value)
{
int q = (c.R - bottomTrackBar.Value) * (255 / (upperTrackBar.Value - bottomTrackBar.Value));
Color color = Color.FromArgb(255, q, q, q);
bm.SetPixel(x, y, color);
}
}
}
pictureBox1.Image = bm;
maxBmpLevel = HistogramOperations.MaxBmpLevel(pictureBox1.Image);
HistogramOperations.clearHistogram(chart1);
histoTab = HistogramOperations.drawHistogram(chart1, pictureBox1.Image, maxBmpLevel);
}
