private static void MsdfErrorCorrection(Bitmap <FloatRgb> output, Vector2 threshold)
{
var clashes = new List <KeyValuePair <int, int> >();
int w = output.Width, h = output.Height;
for (var y = 0; y < h; ++y)
{
for (var x = 0; x < w; ++x)
{
if (x > 0 && PixelClash(output[x, y], output[x - 1, y], threshold.X) ||
x < w - 1 && PixelClash(output[x, y], output[x + 1, y], threshold.X) ||
y > 0 && PixelClash(output[x, y], output[x, y - 1], threshold.Y) ||
y < h - 1 && PixelClash(output[x, y], output[x, y + 1], threshold.Y))
{
clashes.Add(new KeyValuePair <int, int>(x, y));
}
}
}
foreach (var clash in clashes)
{
ref var pixel = ref output[clash.Key, clash.Value];
var med = Arithmetic.Median(pixel.R, pixel.G, pixel.B);
pixel.R = med;
pixel.G = med;
pixel.B = med;
}
public static void RenderSdf(Bitmap <float> output, Bitmap <FloatRgb> sdf, double pxRange)
{
int w = output.Width, h = output.Height;
pxRange *= (double)(w + h) / (sdf.Width + sdf.Height);
for (var y = 0; y < h; ++y)
{
for (var x = 0; x < w; ++x)
{
var s = Sample(sdf, new Vector2((x + .5) / w, (y + .5) / h));
output[x, y] = DistVal(Arithmetic.Median(s.R, s.G, s.B), pxRange);
}
}
}