private void stretch(Bitmap inputBitmap, int minValue, int maxValue)
{
CustomBitmapProcessing dataOut = new CustomBitmapProcessing(inputBitmap);
dataOut.LockBits();
byte[] LUT = new byte[256];
byte vMaxR = (byte)maxValue;
byte vMinR = (byte)minValue;
byte iMax = 255;
for (int i = 0; i < 256; i++)
{
if (i > maxValue)
{
LUT[i] = 255;
}
else if (i < minValue)
{
LUT[i] = 0;
}
else
{
LUT[i] = (byte)(iMax / (maxValue - minValue) * (i - minValue));
}
}
Parallel.Invoke(
() =>
{
Parallel.For(0, dataOut.Pixels.LongLength / 4, i =>
{
dataOut.Pixels[i] = LUT[dataOut.Pixels[i]]; // w operacji LUT nie obodzi nas które wartości zmieniamy - więc tak jest szybciej
});
},
() =>
{
Parallel.For(dataOut.Pixels.LongLength / 4, dataOut.Pixels.LongLength / 2, i =>
{
dataOut.Pixels[i] = LUT[dataOut.Pixels[i]]; // w operacji LUT nie obodzi nas które wartości zmieniamy - więc tak jest szybciej
});
},
() =>
{
Parallel.For(dataOut.Pixels.LongLength / 2, ((dataOut.Pixels.LongLength / 4) * 3), i =>
{
dataOut.Pixels[i] = LUT[dataOut.Pixels[i]]; // w operacji LUT nie obodzi nas które wartości zmieniamy - więc tak jest szybciej
});
},
() =>
{
Parallel.For(((dataOut.Pixels.LongLength / 4) * 3), dataOut.Pixels.LongLength, i =>
{
dataOut.Pixels[i] = LUT[dataOut.Pixels[i]]; // w operacji LUT nie obodzi nas które wartości zmieniamy - więc tak jest szybciej
});
});
dataOut.UnlockBits();
mainForm.Invoke((MethodInvoker) delegate {
//mainForm.pictureBox1.Image = inputBitmap;
mainForm.Picture = new Bitmap(inputBitmap);
});
}
private void ParallelInvoke(Bitmap inputBitmap, int[,] mask)
{
bool CornerMask = CheckIfCornerMask(mask); // sprawdzamy czy maska jest typu :wykrywanie krawędzi"
Bitmap temorary = new Bitmap(inputBitmap.Width, inputBitmap.Height);
CustomBitmapProcessing data = new CustomBitmapProcessing(new Bitmap(inputBitmap));
CustomBitmapProcessing dataOut = new CustomBitmapProcessing(inputBitmap);
data.LockBits();
dataOut.LockBits();
mainForm.Invoke((MethodInvoker) delegate {
mainForm.toolStripProgressBar1.Maximum = (data.Height) * 2;
});
Parallel.Invoke(
() => ApplyMaskThreaded(data, dataOut, mask, 0, 0, data.Height / 2, data.Width / 2, CornerMask),
() => ApplyMaskThreaded(data, dataOut, mask, 0, data.Width / 2, data.Height / 2, data.Width, CornerMask),
() => ApplyMaskThreaded(data, dataOut, mask, data.Height / 2, 0, data.Height, data.Width / 2, CornerMask),
() => ApplyMaskThreaded(data, dataOut, mask, data.Height / 2, data.Width / 2, data.Height, data.Width, CornerMask));
data.UnlockBits();
dataOut.UnlockBits();
mainForm.Invoke((MethodInvoker) delegate
{
mainForm.toolStripProgressBar1.Maximum = 100;
mainForm.toolStripProgressBar1.Value = 0;
mainForm.Picture = inputBitmap;
});
}
private Bitmap MorfologyFilter(Bitmap inputBitmap, Morfology type)
{
CustomBitmapProcessing dataOut = new CustomBitmapProcessing(inputBitmap);
CustomBitmapProcessing dataRead = new CustomBitmapProcessing(new Bitmap(inputBitmap));
dataOut.LockBits();
dataRead.LockBits();
p.X = dataOut.Height;
p.Y = dataOut.Width;
int color;
if (type == Morfology.Dylation)
{
color = 0;
}
else
{
color = 0xFFFFFF;
}
for (int i = 0; i < p.X; i++)
{
for (int j = 0; j < p.Y; j++)
{
if (dataRead.GetPixel(mod1(i - 1), j) == color || dataRead.GetPixel(i, j) == color || dataRead.GetPixel(i, mod2(j - 1)) == color || dataRead.GetPixel(i, mod2(j + 1)) == color || dataRead.GetPixel(mod1(i + 1), j) == color)
{
dataOut.SetPixel(i, j, color);
}
}
}
dataOut.UnlockBits();
dataRead.UnlockBits();
mainForm.Picture = new Bitmap(inputBitmap);
return(new Bitmap(inputBitmap));
}
public void GreenSearch(Bitmap inputBitmap)
{
CustomBitmapProcessing data = new CustomBitmapProcessing(inputBitmap);
data.LockBits();
for (int i = 0; i < data.Height; i++)
{
for (int j = 0; j < data.Width; j++)
{
int pixel = data.GetPixel(i, j);
int r = data.GetPixel(i, j) & 0xFF;
int g = (data.GetPixel(i, j) >> 8) & 0xFF;
int b = (data.GetPixel(i, j) >> 16) & 0xFF;
if ((g > b && g > r && g > 60) || (((g + r) / 2) > b && ((g + r) / 2) > (r - 3) && g > 60))
{
data.SetPixel(i, j, 0);
}
else
{
data.SetPixel(i, j, 0xFFFFFF);
}
}
}
data.UnlockBits();
mainForm.Picture = new Bitmap(inputBitmap);
}
public void imageThinning(Bitmap inputBitmap, int iterations)
{
CustomBitmapProcessing dataRead = new CustomBitmapProcessing(new Bitmap(inputBitmap));
CustomBitmapProcessing dataOut = new CustomBitmapProcessing(inputBitmap);
dataRead.LockBits();
dataOut.LockBits();
p.X = dataRead.Height;
p.Y = dataRead.Width;
for (int h = 0; h < dataRead.Height - 0; ++h)
{
for (int w = 0; w < dataRead.Width - 0; ++w)
{
if ((dataRead.GetPixel(mod1(h - 1), mod2(w - 1)) & 0xFF) == 0 &&
(dataRead.GetPixel(mod1(h - 1), mod2(w)) & 0xFF) == 0 &&
(dataRead.GetPixel(mod1(h - 1), mod2(w + 1)) & 0xFF) == 0 &&
(dataRead.GetPixel(mod1(h), mod2(w - 1)) & 0xFF) == 0 &&
(dataRead.GetPixel(mod1(h), mod2(w)) & 0xFF) == 0 &&
(dataRead.GetPixel(mod1(h), mod2(w + 1)) & 0xFF) == 0 &&
(dataRead.GetPixel(mod1(h + 1), mod2(w - 1)) & 0xFF) == 0 &&
(dataRead.GetPixel(mod1(h + 1), mod2(w)) & 0xFF) == 0 &&
(dataRead.GetPixel(mod1(h + 1), mod2(w + 1)) & 0xFF) == 0)
{
dataOut.SetPixel(h, w, 0xFFFFFF);
}
}
}
dataOut.UnlockBits();
dataRead.UnlockBits();
mainForm.Picture = new Bitmap(inputBitmap);
}
public void EntropySelection(Bitmap inputBitmap)
{
inputBitmap = histogramEqualization2(new Bitmap(inputBitmap));
inputBitmap = ApplyGrayScale(new Bitmap(inputBitmap));
CustomBitmapProcessing data = new CustomBitmapProcessing(inputBitmap);
ulong[] histogramTable = CreateHistogram(inputBitmap);
int imageSize = inputBitmap.Width * inputBitmap.Height;
int Height = inputBitmap.Height;
int Width = inputBitmap.Width;
double[] p = new double[256];
double[] entropyTable = new double[256];
data.LockBits();
for (int i = 0; i < 256; i++)
{
p[i] = (double)histogramTable[i] / (double)imageSize;
}
for (int i = 0; i < 256; i++)
{
entropyTable[i] = p[i] * Math.Log10(p[i]);
}
double entropyMin = entropyTable[0];
int index = 0;
for (int i = 0; i < 256; i++)
{
if (entropyMin > entropyTable[i])
{
entropyMin = entropyTable[i];
index = i;
}
}
for (int i = 0; i < Height; i++)
{
for (int j = 0; j < Width; j++)
{
int grey = (data.GetPixel(i, j) & 0xFF);
if (grey >= index)
{
grey = 255;
}
else
{
grey = 0;
}
int rgb = grey + (grey << 8) + (grey << 16);
data.SetPixel(i, j, rgb);
}
}
data.UnlockBits();
mainForm.Picture = new Bitmap(inputBitmap);
}
public void imageThinning(Bitmap inputBitmap, int iterations)
{
CustomBitmapProcessing data = new CustomBitmapProcessing(inputBitmap);
Bitmap tempo = new Bitmap(inputBitmap);
data.LockBits();
p.X = data.Height;
p.Y = data.Width;
for (int i = 0; i < iterations; ++i)
{
Bitmap imageCopy = new Bitmap(tempo);
CustomBitmapProcessing data2 = new CustomBitmapProcessing(imageCopy);
data2.LockBits();
for (int h = 1; h < data.Height - 1; ++h)
{
for (int w = 1; w < data.Width - 1; ++w)
{
if (data.GetPixel(mod1(h - 1), mod2(w - 1)) == 0 &&
data.GetPixel(mod1(h - 1), mod2(w)) == 0 &&
data.GetPixel(mod1(h - 1), mod2(w + 1)) == 0 &&
data.GetPixel(mod1(h), mod2(w - 1)) == 0 &&
data.GetPixel(mod1(h), mod2(w)) == 0 &&
data.GetPixel(mod1(h), mod2(w + 1)) == 0 &&
data.GetPixel(mod1(h + 1), mod2(w - 1)) == 0 &&
data.GetPixel(mod1(h + 1), mod2(w)) == 0 &&
data.GetPixel(mod1(h + 1), mod2(w + 1)) == 0)
{
data2.SetPixel(h, w, 0xFFFFFF);
}
}
}
for (int h = 0; h < data.Height; ++h)
{
for (int w = 0; w < data.Width; ++w)
{
//int pixel1 = data.GetPixel(w, h);
int pixel2 = data2.GetPixel(h, w);
if (pixel2 == 0xFFFFFF)
{
data.SetPixel(h, w, 0xFFFFFF);
}
}
}
data2.UnlockBits();
}
data.UnlockBits();
mainForm.Picture = new Bitmap(inputBitmap);
}
private ulong[] CreateHistogram(Bitmap inputBitmap)
{
ulong[] histogram = new ulong[256];
CustomBitmapProcessing data = new CustomBitmapProcessing(inputBitmap);
data.LockBits();
for (int i = 0; i < data.Height; i++)
{
for (int j = 0; j < data.Width; j++)
{
int gray = (data.GetPixel(i, j) & 0xFF);
histogram[gray]++;
}
}
data.UnlockBits();
return(histogram);
}
public Bitmap grayscale2(Bitmap bitmap)
{
CustomBitmapProcessing data = new CustomBitmapProcessing(bitmap);
data.LockBits();
for (int i = 0; i < data.Height; i++)
{
for (int j = 0; j < data.Width; j++)
{
int rgb = data.GetPixel(i, j);
byte grey = (byte)(Math.Ceiling((decimal)(0.299 * (rgb & 0xFF) + 0.587 * ((rgb >> 8) & 0xFF) + 0.114 * ((rgb >> 16) & 0xFF))));
int rgbOut = grey + (grey << 8) + (grey << 16);
data.SetPixel(i, j, rgbOut);
}
}
data.UnlockBits();
return(bitmap);
}
private void ParallelInvoke(Bitmap inputBitmap, int size)
{
CustomBitmapProcessing data = new CustomBitmapProcessing(new Bitmap(inputBitmap));
CustomBitmapProcessing dataOut = new CustomBitmapProcessing(inputBitmap);
data.LockBits();
dataOut.LockBits();
mainForm.Invoke((MethodInvoker) delegate {
mainForm.toolStripProgressBar1.Maximum = (data.Height) * 2;
});
Parallel.Invoke(
() => ApplyMedianMaskThreaded(data, dataOut, 0, 0, data.Height / 2, data.Width / 2, size),
() => ApplyMedianMaskThreaded(data, dataOut, 0, data.Width / 2, data.Height / 2, data.Width, size),
() => ApplyMedianMaskThreaded(data, dataOut, data.Height / 2, 0, data.Height, data.Width / 2, size),
() => ApplyMedianMaskThreaded(data, dataOut, data.Height / 2, data.Width / 2, data.Height, data.Width, size));
data.UnlockBits();
dataOut.UnlockBits();
mainForm.Invoke((MethodInvoker) delegate
{
mainForm.toolStripProgressBar1.Maximum = 100;
mainForm.toolStripProgressBar1.Value = 0;
mainForm.Picture = inputBitmap;
});
}
private Bitmap ApplyThreshold(Bitmap inputBitmap, int threshold)
{
CustomBitmapProcessing data = new CustomBitmapProcessing(inputBitmap);
data.LockBits();
for (int i = 0; i < data.Height; i++)
{
for (int j = 0; j < data.Width; j++)
{
if ((data.GetPixel(i, j) & 0xFF) >= threshold)
{
int rgb = 255 + (255 << 8) + (255 << 16);
data.SetPixel(i, j, rgb);
}
else
{
data.SetPixel(i, j, 0);
}
}
}
data.UnlockBits();
mainForm.Picture = new Bitmap(inputBitmap);
return(new Bitmap(inputBitmap));
}
private void KuwaharaBlur(Bitmap inputBitmap, int Size)
{
CustomBitmapProcessing tempData = new CustomBitmapProcessing(new Bitmap(inputBitmap));
CustomBitmapProcessing newData = new CustomBitmapProcessing(inputBitmap);
tempData.LockBits();
newData.LockBits();
int[] ApetureMinX = { -(Size / 2), 0, -(Size / 2), 0 };
int[] ApetureMaxX = { 0, (Size / 2), 0, (Size / 2) };
int[] ApetureMinY = { -(Size / 2), -(Size / 2), 0, 0 };
int[] ApetureMaxY = { 0, 0, (Size / 2), (Size / 2) };
for (int y = 0; y < newData.Height; ++y)
{
for (int x = 0; x < newData.Width; ++x)
{
int[] RValues = { 0, 0, 0, 0 };
int[] GValues = { 0, 0, 0, 0 };
int[] BValues = { 0, 0, 0, 0 };
int[] NumPixels = { 0, 0, 0, 0 };
int[] MaxRValue = { 0, 0, 0, 0 };
int[] MaxGValue = { 0, 0, 0, 0 };
int[] MaxBValue = { 0, 0, 0, 0 };
int[] MinRValue = { 255, 255, 255, 255 };
int[] MinGValue = { 255, 255, 255, 255 };
int[] MinBValue = { 255, 255, 255, 255 };
for (int i = 0; i < 4; ++i)
{
for (int x2 = ApetureMinX[i]; x2 < ApetureMaxX[i]; ++x2)
{
int TempX = x + x2;
if (TempX >= 0 && TempX < inputBitmap.Width)
{
for (int y2 = ApetureMinY[i]; y2 < ApetureMaxY[i]; ++y2)
{
int TempY = y + y2;
if (TempY >= 0 && TempY < inputBitmap.Height)
{
int TempColor = tempData.GetPixel(TempY, TempX);
RValues[i] += TempColor & 0xFF;
GValues[i] += (TempColor >> 8) & 0xFF;
BValues[i] += (TempColor >> 16) & 0xFF;
int[] tempColor = { TempColor& 0xFF, (TempColor >> 8) & 0xFF, (TempColor >> 16) & 0xFF };
if (tempColor[0] > MaxRValue[i])
{
MaxRValue[i] = tempColor[0];
}
else if (tempColor[0] < MinRValue[i])
{
MinRValue[i] = tempColor[0];
}
if (tempColor[1] > MaxGValue[i])
{
MaxGValue[i] = tempColor[1];
}
else if (tempColor[1] < MinGValue[i])
{
MinGValue[i] = tempColor[1];
}
if (tempColor[2] > MaxBValue[i])
{
MaxBValue[i] = tempColor[2];
}
else if (tempColor[2] < MinBValue[i])
{
MinBValue[i] = tempColor[2];
}
++NumPixels[i];
}
}
}
}
}
int j = 0;
int MinDifference = 10000;
for (int i = 0; i < 4; ++i)
{
int CurrentDifference = (MaxRValue[i] - MinRValue[i]) + (MaxGValue[i] - MinGValue[i]) + (MaxBValue[i] - MinBValue[i]);
if (CurrentDifference < MinDifference && NumPixels[i] > 0)
{
j = i;
MinDifference = CurrentDifference;
}
}
int rgbOut = (RValues[j] / NumPixels[j]) + ((GValues[j] / NumPixels[j]) << 8) + ((BValues[j] / NumPixels[j]) << 16);
newData.SetPixel(y, x, rgbOut);
}
mainForm.Invoke((MethodInvoker) delegate {
mainForm.toolStripProgressBar1.Value = (y * 100 / newData.Height);
});
}
tempData.UnlockBits();
newData.UnlockBits();
mainForm.Invoke((MethodInvoker) delegate {
mainForm.toolStripProgressBar1.Value = 0;
//mainForm.pictureBox1.Image = inputBitmap;
mainForm.Picture = new Bitmap(inputBitmap);
});
}
private void histogramEqualization(Bitmap inputBitmap)
{
CustomBitmapProcessing dataOut = new CustomBitmapProcessing(inputBitmap);
dataOut.LockBits();
uint pixels = (uint)dataOut.Height * (uint)dataOut.Width;
decimal Const = (decimal)255 / (decimal)pixels;
int R, G, B;
int[] cdfR = new int[256];
int[] cdfG = new int[256];
int[] cdfB = new int[256];
int progressBarMax = dataOut.Height * 2, progrsbar2nd = dataOut.Height;
for (int i = 0; i < dataOut.Height; i++) // Tworzenie histogramu
{
for (int j = 0; j < dataOut.Width; j++)
{
int rgb = dataOut.GetPixel(i, j);
int RValue = (rgb & 0xFF);
int GValue = ((rgb >> 8) & 0xFF);
int BValue = ((rgb >> 16) & 0xFF);
cdfR[RValue]++;
cdfG[GValue]++;
cdfB[BValue]++;
}
mainForm.Invoke((MethodInvoker) delegate
{
mainForm.toolStripProgressBar1.Value = (i * 100) / progressBarMax;
});
}
for (int r = 1; r <= 255; r++) // Tworzenie histogramu skumulowanego
{
cdfR[r] += cdfR[r - 1];
cdfG[r] += cdfG[r - 1];
cdfB[r] += cdfB[r - 1];
}
for (int i = 0; i < dataOut.Height; i++)
{
for (int j = 0; j < dataOut.Width; j++)
//Parallel.For(0, dataOut.Width, j =>
{
int pixelColor = dataOut.GetPixel(i, j);
R = (int)((decimal)cdfR[pixelColor & 0xFF] * Const);
G = (int)((decimal)cdfG[((pixelColor >> 8) & 0xFF)] * Const);
B = (int)((decimal)cdfB[((pixelColor >> 16) & 0xFF)] * Const);
pixelColor = R + (G << 8) + (B << 16);
dataOut.SetPixel(i, j, pixelColor);
}
mainForm.Invoke((MethodInvoker) delegate
{
mainForm.toolStripProgressBar1.Value = ((i + progrsbar2nd) * 100) / progressBarMax;
});
}
dataOut.UnlockBits();
mainForm.Invoke((MethodInvoker) delegate {
mainForm.toolStripProgressBar1.Value = 0;
mainForm.Picture = new Bitmap(inputBitmap);
//mainForm.pictureBox1.Image = inputBitmap;
});
}
public void HistogramNormalization(Bitmap inputBitmap)
{
inputBitmap = ApplyGrayScale(new Bitmap(inputBitmap));
int width = inputBitmap.Width;
int height = inputBitmap.Height;
CustomBitmapProcessing data = new CustomBitmapProcessing(inputBitmap);
data.LockBits();
int[,] imageMatrix = new int[height, width];
for (int i = 0; i < height; i++)
{
for (int j = 0; j < width; j++)
{
imageMatrix[i, j] = (data.GetPixel(i, j) & 0xFF);
}
}
double mean = 0;
for (int i = 0; i < height; i++)
{
for (int j = 0; j < width; j++)
{
mean += imageMatrix[i, j];
}
}
mean /= (width * height);
double var = 0;
for (int i = 0; i < height; i++)
{
for (int j = 0; j < width; j++)
{
var += Math.Pow((imageMatrix[i, j] - mean), 2);
}
}
var /= (height * width * 255); //255 for white color
for (int i = 0; i < height; i++)
{
for (int j = 0; j < width; j++)
{
double normalizedPixel = 0;
double squareError = 0;
if (imageMatrix[i, j] > mean)
{
squareError = Math.Pow((imageMatrix[i, j] - mean), 2);
normalizedPixel = (GOAL_MEAN + Math.Sqrt(((GOAL_VARIANCE * squareError / var))));
}
else
{
squareError = (imageMatrix[i, j] - mean) * (imageMatrix[i, j] - mean);
normalizedPixel = (GOAL_MEAN - Math.Sqrt(((GOAL_VARIANCE * squareError / var))));
}
int rgb = (int)-normalizedPixel;
int color = rgb + (rgb << 8) + (rgb << 16);
data.SetPixel(i, j, color);
}
}
data.UnlockBits();
mainForm.Invoke((MethodInvoker) delegate {
mainForm.toolStripProgressBar1.Value = 0;
mainForm.Picture = new Bitmap(inputBitmap);
});
}
public void NiblackBinarization(Bitmap inputBitmap, int blockSize, double niblackConstant)
{
inputBitmap = ApplyGrayScale(new Bitmap(inputBitmap));
CustomBitmapProcessing data = new CustomBitmapProcessing(inputBitmap);
CustomBitmapProcessing data_help = new CustomBitmapProcessing(new Bitmap(inputBitmap));
data.LockBits();
data_help.LockBits();
if (blockSize < 2)
{
blockSize = 2;
}
int itemCounter = blockSize * blockSize; // pomocnik do odchylenia standardowego i do średniej
blockSize /= 2;
int height = inputBitmap.Height;
int width = inputBitmap.Width;
p = new Point(height, width);
for (int i = 0; i < height; i = i + blockSize)
{
for (int j = 0; j < width; j = j + blockSize)
{
int maskHeightValidator = i + blockSize; // Prevents from taking pixels out of boundary
int maskWidthValidator = j + blockSize; // Prevents from taking pixels out of boundary
double meanVal = 0; // średnia
double stdVal = 0; // odchylenie standardowe
for (int x = i - blockSize; x < ValX(maskHeightValidator); x++)
{
for (int y = j - blockSize; y < ValY(maskWidthValidator); y++)
{
meanVal += (data_help.GetPixel(ValX(x), ValY(y)) & 0xFF);
}
}
meanVal /= itemCounter;
for (int x = i - blockSize; x < ValX(maskHeightValidator); x++)
{
for (int l = j - blockSize; l < ValY(maskWidthValidator); l++)
{
stdVal += Math.Pow((data_help.GetPixel(ValX(x), ValY(l)) & 0xFF) - meanVal, 2);
}
}
stdVal = Math.Sqrt(stdVal / itemCounter);
double threshold = (meanVal + niblackConstant * stdVal);
for (int k = i - blockSize; k < ValX(maskHeightValidator); k++)
{
for (int l = j - blockSize; l < ValY(maskWidthValidator); l++)
{
if ((data_help.GetPixel(ValX(k), ValY(l)) & 0xFF) < threshold)
{
data.SetPixel(ValX(k), ValY(l), 0);
}
else
{
data.SetPixel(ValX(k), ValY(l), (255 + (255 << 8) + (255 << 16)));
}
}
}
}
}
data.UnlockBits();
mainForm.Picture = inputBitmap;
}
public void imageThickening(Bitmap inputBitmap, int iterations)
{
CustomBitmapProcessing dataReadOnly = new CustomBitmapProcessing(new Bitmap(inputBitmap)); // data read
CustomBitmapProcessing dataOut = new CustomBitmapProcessing(inputBitmap);
Bitmap tempo = new Bitmap(inputBitmap);
dataReadOnly.LockBits();
dataOut.LockBits();
p.X = dataReadOnly.Height;
p.Y = dataReadOnly.Width;
for (int i = 0; i < iterations; ++i)
{
CustomBitmapProcessing data1 = new CustomBitmapProcessing(new Bitmap(tempo));
data1.LockBits();
for (int h = 0; h < dataReadOnly.Height; ++h)
{
for (int w = 1; w < dataReadOnly.Width - 1; ++w)
{
//Pierwsza maska
if ((dataReadOnly.GetPixel(mod1(h - 1), mod2(w - 1)) == 0 &&
dataReadOnly.GetPixel(mod1(h - 1), w) == 0 &&
dataReadOnly.GetPixel(mod1(h - 1), mod2(w + 1)) == 0 &&
dataReadOnly.GetPixel(h, mod2(w - 1)) == 0 &&
dataReadOnly.GetPixel(h, w) == 0xFFFFFF &&
dataReadOnly.GetPixel(mod1(h + 1), mod2(w + 1)) == 0xFFFFFF)
|| (dataReadOnly.GetPixel(mod1(h), mod2(w - 1)) == 0 &&
dataReadOnly.GetPixel(mod1(h + 1), mod2(w - 1)) == 0 &&
dataReadOnly.GetPixel(mod1(h + 1), mod2(w)) == 0 &&
dataReadOnly.GetPixel(mod1(h + 1), mod2(w + 1)) == 0 &&
dataReadOnly.GetPixel(h, w) == 0xFFFFFF &&
dataReadOnly.GetPixel(mod1(h - 1), mod2(w + 1)) == 0xFFFFFF))
{
data1.SetPixel(h, w, 0);
}
else
{
data1.SetPixel(h, w, 0xFFFFFF);
}
//Druga maska
if ((dataReadOnly.GetPixel(mod1(h - 1), mod2(w - 1)) == 0 &&
dataReadOnly.GetPixel(mod1(h), mod2(w - 1)) == 0 &&
dataReadOnly.GetPixel(mod1(h + 1), mod2(w - 1)) == 0 &&
dataReadOnly.GetPixel(mod1(h + 1), mod2(w)) == 0 &&
dataReadOnly.GetPixel(h, w) == 0xFFFFFF &&
dataReadOnly.GetPixel(mod1(h - 1), mod2(w + 1)) == 0xFFFFFF)
|| (dataReadOnly.GetPixel(mod1(h + 1), mod2(w)) == 0 &&
dataReadOnly.GetPixel(mod1(h + 1), mod2(w + 1)) == 0 &&
dataReadOnly.GetPixel(mod1(h), mod2(w + 1)) == 0 &&
dataReadOnly.GetPixel(mod1(h - 1), mod2(w + 1)) == 0 &&
dataReadOnly.GetPixel(h, w) == 0xFFFFFF &&
dataReadOnly.GetPixel(mod1(h - 1), mod2(w - 1)) == 0xFFFFFF))
{
data1.SetPixel(h, w, 0);
}
else if (data1.GetPixel(h, w) != 0)
{
data1.SetPixel(h, w, 0xFFFFFF);
}
//Trzecia maska
if ((dataReadOnly.GetPixel(mod1(h + 1), mod2(w - 1)) == 0 &&
dataReadOnly.GetPixel(mod1(h + 1), mod2(w)) == 0 &&
dataReadOnly.GetPixel(mod1(h + 1), mod2(w + 1)) == 0 &&
dataReadOnly.GetPixel(mod1(h), mod2(w + 1)) == 0 &&
dataReadOnly.GetPixel(h, w) == 0xFFFFFF &&
dataReadOnly.GetPixel(mod1(h - 1), mod2(w - 1)) == 0xFFFFFF)
|| (dataReadOnly.GetPixel(mod1(h - 1), mod2(w - 1)) == 0 &&
dataReadOnly.GetPixel(mod1(h - 1), mod2(w)) == 0 &&
dataReadOnly.GetPixel(mod1(h - 1), mod2(w + 1)) == 0 &&
dataReadOnly.GetPixel(mod1(h), mod2(w + 1)) == 0 &&
dataReadOnly.GetPixel(h, w) == 0xFFFFFF &&
dataReadOnly.GetPixel(mod1(h + 1), mod2(w - 1)) == 0xFFFFFF))
{
data1.SetPixel(h, w, 0);
}
else if (data1.GetPixel(h, w) != 0)
{
data1.SetPixel(h, w, 0xFFFFFF);
}
//Czwarta maska
if ((dataReadOnly.GetPixel(mod1(h - 1), mod2(w)) == 0 &&
dataReadOnly.GetPixel(mod1(h - 1), mod2(w + 1)) == 0 &&
dataReadOnly.GetPixel(mod1(h), mod2(w + 1)) == 0 &&
dataReadOnly.GetPixel(mod1(h + 1), mod2(w + 1)) == 0 &&
dataReadOnly.GetPixel(h, w) == 0xFFFFFF &&
dataReadOnly.GetPixel(mod1(h + 1), mod2(w - 1)) == 0xFFFFFF)
|| (dataReadOnly.GetPixel(mod1(h - 1), mod2(w - 1)) == 0 &&
dataReadOnly.GetPixel(mod1(h), mod2(w - 1)) == 0 &&
dataReadOnly.GetPixel(mod1(h + 1), mod2(w - 1)) == 0 &&
dataReadOnly.GetPixel(mod1(h - 1), mod2(w)) == 0 &&
dataReadOnly.GetPixel(h, w) == 0xFFFFFF &&
dataReadOnly.GetPixel(mod1(h + 1), mod2(w + 1)) == 0xFFFFFF))
{
data1.SetPixel(h, w, 0);
}
else if (data1.GetPixel(h, w) != 0)
{
data1.SetPixel(h, w, 0xFFFFFF);
}
int pix1 = (dataReadOnly.GetPixel(h, w));
if ((data1.GetPixel(h, w) & 0xFF) == 0)
{
pix1 = 0;
}
dataOut.SetPixel(h, w, pix1);
}
}
data1.UnlockBits();
}
dataReadOnly.UnlockBits();
dataOut.UnlockBits();
mainForm.Picture = new Bitmap(inputBitmap);
}