/// <summary>
/// Perform a Bionomial filter using a 3x3 Mask
/// </summary>
/// <param name="b">Image to Process</param>
/// <returns>Filtered Image</returns>
public static Bitmap Binomial3x3(Bitmap b)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
ImagerBitmap i2 = new ImagerBitmap(b.Clone() as Bitmap);
for (int column = 1; column < i.Bitmap.Width - 1; column++)
{
for (int row = 1; row < i.Bitmap.Height - 1; row++)
{
Color[,] c = i.Get3x3(row, column);
int red = ((c[0, 0].R * 1) + (c[0, 1].R * 2) + (c[0, 2].R * 1) + (c[1, 0].R * 2)
+ (c[1, 1].R * 4) + (c[1, 2].R * 2) + (c[2, 0].R * 1) + (c[2, 1].R * 2)
+ (c[2, 2].R * 1)) / 16;
int green = ((c[0, 0].G * 1) + (c[0, 1].G * 2) + (c[0, 2].G * 1) + (c[1, 0].G * 2)
+ (c[1, 1].G * 4) + (c[1, 2].G * 2) + (c[2, 0].G * 1) + (c[2, 1].G * 2)
+ (c[2, 2].G * 1)) / 16;
int blue = ((c[0, 0].B * 1) + (c[0, 1].B * 2) + (c[0, 2].B * 1) + (c[1, 0].B * 2)
+ (c[1, 1].B * 4) + (c[1, 2].B * 2) + (c[2, 0].B * 1) + (c[2, 1].B * 2)
+ (c[2, 2].B * 1)) / 16;
i2.SetPixel(column, row, Color.FromArgb(red, green, blue));
}
}
i.UnlockBitmap();
i2.UnlockBitmap();
return(i2.Bitmap.Clone() as Bitmap);
}
/// <summary>
/// Perform laplace edge detection on the image
/// </summary>
/// <param name="b">Source Image</param>
/// <returns>Edges</returns>
public static Bitmap Laplace(Bitmap b)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
ImagerBitmap i2 = new ImagerBitmap(b.Clone() as Bitmap);
for (int column = 1; column < i.Bitmap.Width - 1; column++)
{
for (int row = 1; row < i.Bitmap.Height - 1; row++)
{
Color[,] c = i.Get3x3(row, column);
int red = (((c[0, 0].R + c[0, 1].R + c[0, 2].R + c[1, 0].R + c[1, 2].R + c[2, 0].R
+ c[2, 1].R + c[2, 2].R) * -1) + (c[1, 1].R * 8)) + 128;
int green = (((c[0, 0].G + c[0, 1].G + c[0, 2].G + c[1, 0].G + c[1, 2].G
+ c[2, 0].G + c[2, 1].G + c[2, 2].G) * -1) + (c[1, 1].G * 8)) + 128;
int blue = (((c[0, 0].B + c[0, 1].B + c[0, 2].B + c[1, 0].B + c[1, 2].B + c[2, 0].B
+ c[2, 1].B + c[2, 2].B) * -1) + (c[1, 1].B * 8)) + 128;
if (red >= 128)
{
red = 0;
}
else
{
red = 255;
}
if (green >= 128)
{
green = 0;
}
else
{
green = 255;
}
if (blue >= 128)
{
blue = 0;
}
else
{
blue = 255;
}
i2.SetPixel(column, row, Color.FromArgb(red, green, blue));
}
}
i.UnlockBitmap();
i2.UnlockBitmap();
return(i2.Bitmap.Clone() as Bitmap);
}
/// <summary>
/// Perform a Median filter using a 3x3 mask
/// </summary>
/// <param name="b">Image to Process</param>
/// <returns>Filtered Image</returns>
public static Bitmap Median3x3(Bitmap b)
{
ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap);
ImagerBitmap i2 = new ImagerBitmap(b.Clone() as Bitmap);
for (int column = 1; column < i.Bitmap.Width - 1; column++)
{
for (int row = 1; row < i.Bitmap.Height - 1; row++)
{
Color[,] c = i.Get3x3(row, column);
int red = Median(c[0, 0].R, c[0, 1].R, c[0, 2].R, c[1, 0].R, c[1, 1].R, c[1, 2].R,
c[2, 0].R, c[2, 1].R, c[2, 2].R);
int green = Median(c[0, 0].G, c[0, 1].G, c[0, 2].G, c[1, 0].G, c[1, 1].G,
c[1, 2].G, c[2, 0].G, c[2, 1].G, c[2, 2].G);
int blue = Median(c[0, 0].B, c[0, 1].B, c[0, 2].B, c[1, 0].B, c[1, 1].B, c[1, 2].B,
c[2, 0].B, c[2, 1].B, c[2, 2].B);
i2.SetPixel(column, row, Color.FromArgb(red, green, blue));
}
}
i.UnlockBitmap();
i2.UnlockBitmap();
return(i2.Bitmap.Clone() as Bitmap);
}