public static RGBPixel[,] convert_to_2D(byte [] rgb_arr, int width_2D, int hight_2D)
{
RGBPixel [,] img_matrix = new RGBPixel[hight_2D, width_2D];
int count = 0;
for (int i = 0; i < hight_2D; i++)
{
for (int j = 0; j < width_2D; j++)
{
img_matrix[i, j].red = rgb_arr[count];
count++;
img_matrix[i, j].green = rgb_arr[count];
count++;
img_matrix[i, j].blue = rgb_arr[count];
count++;
}
}
return(img_matrix);
}
public static RGBPixel[,] convert_to_RGB_2D(byte [] red_arr, byte[] green_arr, byte [] blue_arr, int width_2D, int hight_2D, int Window_Width)
{
int width_of_1D_arr = (width_2D + (Window_Width - 1));
int hight_of_1D_arr = (hight_2D + (Window_Width - 1));
RGBPixel[,] img_matrix = new RGBPixel[hight_2D, width_2D];
int count = width_of_1D_arr * (Window_Width / 2) + (Window_Width / 2);
for (int i = 0; i < hight_2D; i++)
{
for (int j = 0; j < width_2D; j++)
{
img_matrix[i, j].red = red_arr[count];
img_matrix[i, j].green = green_arr[count];
img_matrix[i, j].blue = blue_arr[count];
count++;
}
count += Window_Width - 1;
}
return(img_matrix);
}
public static RGBPixel[,] OpenImage(string ImagePath)
{
Bitmap original_bm = new Bitmap(ImagePath);
int Height = original_bm.Height;
int Width = original_bm.Width;
RGBPixel[,] Buffer = new RGBPixel[Height, Width];
unsafe
{
BitmapData bmd = original_bm.LockBits(new Rectangle(0, 0, Width, Height), ImageLockMode.ReadWrite, original_bm.PixelFormat);
int x, y;
int nWidth = 0;
bool Format32 = false;
bool Format24 = false;
bool Format8 = false;
if (original_bm.PixelFormat == PixelFormat.Format24bppRgb)
{
Format24 = true;
nWidth = Width * 3;
}
else if (original_bm.PixelFormat == PixelFormat.Format32bppArgb || original_bm.PixelFormat == PixelFormat.Format32bppRgb || original_bm.PixelFormat == PixelFormat.Format32bppPArgb)
{
Format32 = true;
nWidth = Width * 4;
}
else if (original_bm.PixelFormat == PixelFormat.Format8bppIndexed)
{
Format8 = true;
nWidth = Width;
}
int nOffset = bmd.Stride - nWidth;
byte *p = (byte *)bmd.Scan0;
for (y = 0; y < Height; y++)
{
for (x = 0; x < Width; x++)
{
if (Format8)
{
Buffer[y, x].red = Buffer[y, x].green = Buffer[y, x].blue = p[0];
p++;
}
else
{
Buffer[y, x].red = p[2];
Buffer[y, x].green = p[1];
Buffer[y, x].blue = p[0];
if (Format24)
{
p += 3;
}
else if (Format32)
{
p += 4;
}
}
}
p += nOffset;
}
original_bm.UnlockBits(bmd);
}
return(Buffer);
}
/// <summary>
/// Apply Gaussian smoothing filter to enhance the edge detection
/// </summary>
/// <param name="ImageMatrix">Colored image matrix</param>
/// <param name="filterSize">Gaussian mask size</param>
/// <param name="sigma">Gaussian sigma</param>
/// <returns>smoothed color image</returns>
public static RGBPixel[,] GaussianFilter1D(RGBPixel[,] ImageMatrix, int filterSize, double sigma)
{
int Height = GetHeight(ImageMatrix);
int Width = GetWidth(ImageMatrix);
RGBPixelD[,] VerFiltered = new RGBPixelD[Height, Width];
RGBPixel[,] Filtered = new RGBPixel[Height, Width];
// Create Filter in Spatial Domain:
//=================================
//make the filter ODD size
if (filterSize % 2 == 0)
{
filterSize++;
}
double[] Filter = new double[filterSize];
//Compute Filter in Spatial Domain :
//==================================
double Sum1 = 0;
int HalfSize = filterSize / 2;
for (int y = -HalfSize; y <= HalfSize; y++)
{
//Filter[y+HalfSize] = (1.0 / (Math.Sqrt(2 * 22.0/7.0) * Segma)) * Math.Exp(-(double)(y*y) / (double)(2 * Segma * Segma)) ;
Filter[y + HalfSize] = Math.Exp(-(double)(y * y) / (double)(2 * sigma * sigma));
Sum1 += Filter[y + HalfSize];
}
for (int y = -HalfSize; y <= HalfSize; y++)
{
Filter[y + HalfSize] /= Sum1;
}
//Filter Original Image Vertically:
//=================================
int ii, jj;
RGBPixelD Sum;
RGBPixel Item1;
RGBPixelD Item2;
for (int j = 0; j < Width; j++)
{
for (int i = 0; i < Height; i++)
{
Sum.red = 0;
Sum.green = 0;
Sum.blue = 0;
for (int y = -HalfSize; y <= HalfSize; y++)
{
ii = i + y;
if (ii >= 0 && ii < Height)
{
Item1 = ImageMatrix[ii, j];
Sum.red += Filter[y + HalfSize] * Item1.red;
Sum.green += Filter[y + HalfSize] * Item1.green;
Sum.blue += Filter[y + HalfSize] * Item1.blue;
}
}
VerFiltered[i, j] = Sum;
}
}
//Filter Resulting Image Horizontally:
//===================================
for (int i = 0; i < Height; i++)
{
for (int j = 0; j < Width; j++)
{
Sum.red = 0;
Sum.green = 0;
Sum.blue = 0;
for (int x = -HalfSize; x <= HalfSize; x++)
{
jj = j + x;
if (jj >= 0 && jj < Width)
{
Item2 = VerFiltered[i, jj];
Sum.red += Filter[x + HalfSize] * Item2.red;
Sum.green += Filter[x + HalfSize] * Item2.green;
Sum.blue += Filter[x + HalfSize] * Item2.blue;
}
}
Filtered[i, j].red = (byte)Sum.red;
Filtered[i, j].green = (byte)Sum.green;
Filtered[i, j].blue = (byte)Sum.blue;
}
}
return(Filtered);
}
