public GaussianFilter(int persentage = 100, int offset = 0)
{
progressPerc = QM.clamp(persentage, 0, 100);
progressOffs = QM.clamp(offset, 0, 100 - progressPerc);
createGaussianKernel(3, 2);
}
protected override Color calculateNewPixelColor(QBitmap sourceImage, int x, int y)
{
int ImgsW = sourceImage.Width;
int ImgsH = sourceImage.Height;
int Radius = 2;
double _R_ = 0;
double _G_ = 0;
double _B_ = 0;
double Z = 1.0 / Math.Pow(Radius, 4);
for (int i = QM.clamp(x - Radius, 0, ImgsW); i < QM.clamp(x + Radius, 0, ImgsW); i++)
{
double _R = 0;
double _G = 0;
double _B = 0;
for (int j = QM.clamp(y - Radius, 0, ImgsH); j < QM.clamp(y + Radius, 0, ImgsH); j++)
{
(byte R, byte G, byte B) = sourceImage.GetPixel(i, j);
_R += R;
_G += G;
_B += B;
}
_R_ += _R * Z;
_G_ += _G * Z;
_B_ += _B * Z;
}
return(QM.Col(_R_, _G_, _B_));
}
protected override Color calculateNewPixelColor(QBitmap sourceImage, int x, int y)
{
int radiusX = kernel.GetLength(0) / 2;
int radiusY = kernel.GetLength(1) / 2;
double resultR = 0;
double resultG = 0;
double resultB = 0;
for (int l = -radiusY; l <= radiusY; l++)
{
for (int k = -radiusX; k <= radiusX; k++)
{
// Значение по X
int idX = QM.clamp(x + k, 0, sourceImage.Width - 1);
// Значение по Y
int idY = QM.clamp(y + l, 0, sourceImage.Height - 1);
// Каналы в точки X,Y
(byte R, byte G, byte B) = sourceImage.GetPixel(idX, idY);
// kernel[0...radiusX, 0...radiusY]
// Двумерная свертка
resultR += R * kernel[k + radiusX, l + radiusY];
resultG += G * kernel[k + radiusX, l + radiusY];
resultB += B * kernel[k + radiusX, l + radiusY];
}
}
return(QM.Col(resultR, resultG, resultB));
}
public SubstractionFilter(QBitmap mask, int persentage = 100, int offset = 0)
{
maskImage = mask;
progressPerc = QM.clamp(persentage, 0, 100);
progressOffs = QM.clamp(offset, 0, 100 - progressPerc);
}
public SobelYFilter(int persentage = 100, int offset = 0)
{
progressPerc = QM.clamp(persentage, 0, 100);
progressOffs = QM.clamp(offset, 0, 100 - progressPerc);
kernel = new float[size, size];
kernel[0, 0] = -1.0f; kernel[0, 1] = -2.0f; kernel[0, 2] = -1.0f;
kernel[1, 0] = +0.0f; kernel[1, 1] = +0.0f; kernel[1, 1] = +0.0f;
kernel[2, 0] = +1.0f; kernel[2, 1] = +2.0f; kernel[2, 2] = +1.0f;
}
protected override Color calculateNewPixelColor(QBitmap sourceImage, int x, int y)
{
(byte oR, byte oG, byte oB) = maskImage.GetPixel(QM.clamp(x, 0, maskImage.Width), QM.clamp(y, 0, maskImage.Height));
(byte pR, byte pG, byte pB) = sourceImage.GetPixel(x, y);
byte R = QM.clamp(oR - pR);
byte G = QM.clamp(oG - pG);
byte B = QM.clamp(oB - pB);
return(QM.Col(R, G, B));
}
protected override Color calculateNewPixelColor(QBitmap sourceImage, int x, int y)
{
//Получаем значения трех каналов пикселя с координатами (x,y)
(byte R, byte G, byte B) = sourceImage.GetPixel(x, y);
R = QM.clamp(R * _R_);
G = QM.clamp(G * _G_);
B = QM.clamp(B * _B_);
return(QM.Col(R, G, B));
}
protected override Color calculateNewPixelColor(QBitmap sourceImage, int x, int y)
{
byte k = 15;
//Получаем значения трех каналов пикселя с координатами (x,y)
(byte R, byte G, byte B) = sourceImage.GetPixel(x, y);
double Intensity = (.299F * R + .587F * G + .113F * B);
R = QM.clamp(Intensity + k * 2);
G = QM.clamp(Intensity + k / 2);
B = QM.clamp(Intensity - k * 1);
return(QM.Col(R, G, B));
}
public BlurFilter(int persentage = 100, int offset = 0)
{
progressPerc = QM.clamp(persentage, 0, 100);
progressOffs = QM.clamp(offset, 0, 100 - progressPerc);
int sizeX = 3;
int sizeY = 3;
kernel = new float[sizeX, sizeY];
for (int i = 0; i < sizeX; i++)
{
for (int j = 0; j < sizeY; j++)
{
kernel[i, j] = 1.0f / (float)(sizeX * sizeY);
}
}
}
public MedianaFilter(int persentage = 100, int offset = 0)
{
progressPerc = QM.clamp(persentage, 0, 100);
progressOffs = QM.clamp(offset, 0, 100 - progressPerc);
}
public SobelFilter(int persentage = 100)
{
progressPerc = QM.clamp(persentage, 0, 100);
}
public void SetPixel(int x, int y, double ch)
{
SetPixel(x, y, QM.clamp(ch));
}
public TopHat(int persentage = 100, int offset = 0)
{
progressPerc = QM.clamp(persentage, 0, 100);
progressOffs = QM.clamp(offset, 0, 100 - progressPerc);
}