private void generateHeightmap_Click(object sender, EventArgs e)
{
Heightmap heightmap = Heightmap.Instance;
heightmap.SetDimensions((int)mapWidth.Value, (int)mapHeight.Value);
heightmap.PerlinNoise((int)octaves.Value, (double)persistence.Value, (double)frequency.Value, (double)amplitude.Value,
true);
// show height map, set up new values
this.heightmapPicture.Height = heightmap.Height;
this.heightmapPicture.Width = heightmap.Width;
this.heightmapPicture.Image = heightmap.Texture;
}
private void generateHeightmap_Click(object sender, EventArgs e)
{
Heightmap heightmap = Heightmap.Instance;
heightmap.SetDimensions((int)mapWidth.Value, (int)mapHeight.Value);
int seed;
if (this.enableSeed.Checked)
{
seed = (int)seedVal.Value;
}
else
{
seed = (new Random()).Next();
seedVal.Value = (Decimal)seed;
}
heightmap.ImprovedPerlinNoise((float)this.frequency.Value, seed);
// show height map, set up new values
this.heightmapPicture.Height = heightmap.Height;
this.heightmapPicture.Width = heightmap.Width;
this.heightmapPicture.Image = heightmap.Texture;
}
private void generateHeightmap_Click(object sender, EventArgs e)
{
Heightmap heightmap = Heightmap.Instance;
heightmap.SetDimensions((int)mapWidth.Value, (int)mapHeight.Value);
int seed;
if (this.enableSeed.Checked)
{
seed = (int)seedVal.Value;
}
else
{
seed = (new Random()).Next();
seedVal.Value = (Decimal)seed;
}
heightmap.DiffusionLimitedAgregation(seed, (float)(this.occupation.Value / this.occupation.Maximum),
(int)this.frequency.Value);
// apply gaussian pass, multiple kernel sizes sum and normalize
if (gaussianEnable.Checked)
{
List <Bitmap> dlaCopies = new List <Bitmap>();
Bitmap dilatedBitmap = (Bitmap)heightmap.Texture.Clone();
AForge.Imaging.Filters.GaussianBlur gaussian = new AForge.Imaging.Filters.GaussianBlur(4.0, 21);
AForge.Imaging.Filters.Dilatation dilatationFilter = new AForge.Imaging.Filters.Dilatation();
GaussianBlur gaus = new GaussianBlur(2);
for (int i = 0; i < (int)copyCount.Value; i++)
{
// apply filter, first increasinly dilate the picture
dilatedBitmap = dilatationFilter.Apply(dilatedBitmap);
// then apply gaussian blur with an increasing radius size
Bitmap blurredBitmap = (Bitmap)dilatedBitmap.Clone();
if (radialBlur.Checked)
{
for (int j = 0; j < (i * 3) + 1; j++)
{
blurredBitmap = gaussian.Apply(blurredBitmap);
}
}
else
{
gaus.Radius = (int)Math.Pow(2, i + 1);
blurredBitmap = gaus.ProcessImage(blurredBitmap);
}
dlaCopies.Add(blurredBitmap);
}
// add noise to final texture collections
if (noiseEnabled.Checked)
{
dlaCopies.Add(NoiseTexture((int)perlinOctaves.Value, (double)perlinPersistence.Value,
(double)perlinFreq.Value, (double)perlinAmplitude.Value));
}
// normalize all blurred heightmaps
Bitmap bmp = (Bitmap)heightmap.Texture.Clone();
BitmapData bmpData = bmp.LockBits(new Rectangle(0, 0, bmp.Width, bmp.Height), ImageLockMode.WriteOnly, bmp.PixelFormat);
byte[] finalData = new byte[bmpData.Height * bmpData.Stride];
// sum average between all blurred pictures
for (int i = 0; i < dlaCopies.Count; i++)
{
// AForge.Imaging.Filters addFilter = new AForge.Imaging.Filters.Add(blurredBitmap);
Bitmap current = dlaCopies[i];
BitmapData currentData = current.LockBits(new Rectangle(0, 0, current.Width, current.Height), ImageLockMode.ReadOnly,
current.PixelFormat);
byte[] currentRawData = new byte[currentData.Height * currentData.Stride];
Marshal.Copy(currentData.Scan0, currentRawData, 0, currentData.Height * currentData.Stride);
// lamba operation sums averages between blurred pictures
Parallel.For(0, currentRawData.Length, index =>
{
finalData[index] = (byte)(currentRawData[index] * 1.0f / (float)dlaCopies.Count + finalData[index]);
});
}
// save final raw pixel data
Marshal.Copy(finalData, 0, bmpData.Scan0, finalData.Length);
bmp.UnlockBits(bmpData);
// store final values on heightmap
heightmap.MapValues = finalData;
heightmap.Texture = bmp;
}
// show height map, set up new values
this.heightmapPicture.Height = heightmap.Height;
this.heightmapPicture.Width = heightmap.Width;
this.heightmapPicture.Image = heightmap.Texture;
}