public Bitmap Execute(Bitmap initial, Filter filter)
{
var threadCount = System.Environment.ProcessorCount;
Color[,] result = new Color[initial.Height, initial.Width];
BitmapToColorArrayConverter bitmapToColorArray = new BitmapToColorArrayConverter();
Color[,] colMatrix = bitmapToColorArray.Convert(initial);
int size = initial.Height / threadCount;
List <Thread> threadList = new List <Thread>();
for (int i = 0, start = 0; i < threadCount; i++)
{
int finish = start + size;
ImageProcessInfo info = new ImageProcessInfo(start, finish, colMatrix, filter);
var thread = new Thread(delegate()
{
Convolution.Process(info, result);
});
threadList.Add(thread);
thread.Start();
start += size;
}
threadList.ForEach(thread => thread.Join());
ColorArrayToBitmapConverter colorArrayToBitmap = new ColorArrayToBitmapConverter();
return(colorArrayToBitmap.Convert(result));
}
public static void Process(ImageProcessInfo info, Color[,] result)
{
int height = info.Colors.GetLength(0);
int width = info.Colors.GetLength(1);
//Color[,] result = new Color[height, width];
for (int x = info.StartPosition; x <= info.FinishPosition; x++)
{
for (int y = 0; y < width; y++)
{
double red = 0,
green = 0,
blue = 0;
for (int i = 0; i < info.Filter.Size; i++)
{
for (int j = 0; j < info.Filter.Size; j++)
{
if ((x + i < height && y + j < width))
{
var color = info.Colors[x + i, y + j];
red += color.R * info.Filter[i, j];
green += color.G * info.Filter[i, j];
blue += color.B * info.Filter[i, j];
}
}
}
if (x < height && y < width)
{
result[x, y] = Color.FromArgb(255, Filter.Normalize(red, info.Filter),
Filter.Normalize(green, info.Filter),
Filter.Normalize(blue, info.Filter));
}
}
}
//return result;
}
