public NoiseAccess(INoise source, enuDimUsage noiseDimUsage, bool withCaching = false)
{
if (withCaching)
{
source = new Cache <INoise>(source);
}
switch (noiseDimUsage)
{
case enuDimUsage.Noise2D:
_noise2D = source as INoise2;
break;
case enuDimUsage.Noise3D:
_noise3D = source as INoise3;
break;
case enuDimUsage.Noise4D:
_noise4D = source as INoise4;
break;
default:
break;
}
noiseDimUsage = _noiseDimUsage;
_source = source;
}
public static string Analyse(INoise2 noiseFct, int iteration)
{
FastRandom rnd = new FastRandom();
//Generate randomIteration number in array
int[,] inputNumber = new int[iteration, 2];
for (int i = 0; i < iteration; i++)
{
inputNumber[i, 0] = rnd.Next();
inputNumber[i, 1] = rnd.Next();
}
long from = Stopwatch.GetTimestamp();
double min = double.MaxValue;
double max = double.MinValue;
for (int i = 0; i < iteration; i++)
{
double val = noiseFct.Get(inputNumber[i, 0], inputNumber[i, 1]);
if (val < min)
{
min = val;
}
if (val > max)
{
max = val;
}
}
long to = Stopwatch.GetTimestamp();
return("INoise2 analysed for " + iteration + " iteration. Time needed : " + ((to - from) / (double)Stopwatch.Frequency * 1000.0) + " ms; Min : " + min + " max : " + max);
}
private void InitNoise(INoise2 noise, Range outPutRange)
{
if (noise != null)
{
workingNoise = noise;
}
var bmp = new Bitmap(pictureBox1.Width, pictureBox1.Height);
float xl, yl;
int w = pictureBox1.Width;
int h = pictureBox1.Height;
long from = Stopwatch.GetTimestamp();
double[,] noiseData = NoiseSampler.NoiseSampling(new Vector2I(w, h),
0 + OffsetX, 3 + OffsetX, w,
0, 1, h, workingNoise);
lblGenerationTime.Text = ((Stopwatch.GetTimestamp() - from) / (double)Stopwatch.Frequency * 1000.0).ToString();
double min = double.MaxValue;
double max = double.MinValue;
int i = 0;
double thresholdFrom = double.Parse(thresholdValue.Text.Replace('.', ','));
double thresholdTo = double.Parse(txtBelow.Text.Replace('.', ','));
for (int x = 0; x < w; x++)
{
for (int y = 0; y < h; y++)
{
xl = MathHelper.FullLerp(0, 3, 0, w, x + OffsetX);
yl = MathHelper.FullLerp(0, 1, 0, h, y);
var val = noiseData[i, 0];
if (val < min)
{
min = val;
}
if (val > max)
{
max = val;
}
if (withThresHold.Checked)
{
if (withBelow.CheckState == CheckState.Checked)
{
if (val > thresholdFrom && val < thresholdTo)
{
val = 1.0;
}
else
{
val = 0.0;
}
}
else
{
if (val > thresholdFrom)
{
val = 1.0;
}
else
{
val = 0.0;
}
}
}
var col = MathHelper.FullLerp(0, 255, outPutRange.Min, outPutRange.Max, val, true);
bmp.SetPixel(x, h - y - 1, Color.FromArgb((byte)col, (byte)col, (byte)col));
i++;
}
}
Console.WriteLine("Min : " + min + " max : " + max);
pictureBox1.Image = bmp;
}
