/// <summary>
/// Method that returns a Turbulence noise with the speficied parameters that has a customizable filter.
/// </summary>
/// <param name="period">Size of the noise.</param>
/// <param name="steps">Detail of the noise</param>
/// <param name="seed">The seed used</param>
/// <returns>A SumNoise with several noises.</returns>
public static Noise3D TurbulenceNoise(float period, int steps, Point3 periodLoop, int seed)
{
SumNoise3D sumNoise = new SumNoise3D();
Random rdm = new Random(seed);
LoopableNoise3D noise;
float[] weights = new float[steps];
weights[0] = 0.5f;
float weightSum = 0.5f;
for (int i = 1; i < steps; i++)
{
weights[i] = weights[i - 1] * 0.5f;
weightSum += weights[i];
}
noiseSumFunction simpleSum = (float a, float b) => a + b;
noiseSumFunction lastFunc = (float a, float b) => ((a + b) - 0.5f) * 2f;
//float weight;
for (int i = 0; i < steps; i++)
{
noise = new LoopableNoise3D(rdm.Next(), period, periodLoop);
//float weight = weights[i] + (weights[i] / weightSum) * (1f - weightSum);
float weight = weights[i] / weightSum;
noise.filter = (float value, Vector3 position) => Math.Abs(value) * weight;
//noise.filter = (float value, Vector2 position) => (Math.Abs(value) - 0.5f)*2f*weight;
//o filtro do ultimo noise coloca os valores no intervalo [-1,1]
if (i != steps - 1)
{
sumNoise.addNoise(noise, (float a, float b) => a + b);
}
else
{
sumNoise.addNoise(noise, (float a, float b) => ((a + b) - 0.5f) * 2f);
}
period *= 0.5f;
periodLoop.X *= 2;
periodLoop.Y *= 2;
periodLoop.Z *= 2;
}
//sumNoise.filter = (float a, Vector2 b) => { return (a + 1f) / 2f; };
sumNoise.filter = (float a, Vector3 b) => a;
return(sumNoise);
}
public static Noise3D RegularNoise(float period, int steps, Point3 periodLoop, int seed)
{
if (steps == 0)
{
throw new Exception("Can't create a noise regular noise with 0 steps");
}
SumNoise3D sumNoise = new SumNoise3D();
Random rdm = new Random(seed);
LoopableNoise3D noise;
float[] weights = new float[steps];
weights[0] = 0.5f;
float weightSum = 0.5f;
for (int i = 1; i < steps; i++)
{
weights[i] = weights[i - 1] * 0.5f;
weightSum += weights[i];
}
//float weight;
Noise3D.noiseSumFunction simpleSum = (float a, float b) => { return(a + b); };
for (int j = 0; j < steps; j++)
{
noise = new LoopableNoise3D(rdm.Next(), period, periodLoop);
float weight = weights[j] / weightSum;
noise.filter = (float value, Vector3 position) => { return(value * (weight)); };
sumNoise.addNoise(noise, simpleSum);
period *= 0.5f;
periodLoop.X *= 2;
periodLoop.Y *= 2;
periodLoop.Z *= 2;
}
return(sumNoise);
}
/// <summary>
/// Method that returns a Turbulence noise with the speficied parameters that has a customizable filter.
/// </summary>
/// <param name="period">Size of the noise.</param>
/// <param name="steps">Detail of the noise</param>
/// <param name="seed">The seed used</param>
/// <returns>A SumNoise with several noises.</returns>
public static Noise3D TurbulenceNoise(float period, int steps, Point3 periodLoop, int seed)
{
SumNoise3D sumNoise = new SumNoise3D();
Random rdm = new Random(seed);
LoopableNoise3D noise;
float[] weights = new float[steps];
weights[0] = 0.5f;
float weightSum = 0.5f;
for (int i = 1; i < steps; i++)
{
weights[i] = weights[i - 1] * 0.5f;
weightSum += weights[i];
}
noiseSumFunction simpleSum = (float a, float b) => a + b;
noiseSumFunction lastFunc = (float a, float b) => ((a + b) - 0.5f) * 2f;
//float weight;
for (int i = 0; i < steps; i++)
{
noise = new LoopableNoise3D(rdm.Next(), period, periodLoop);
//float weight = weights[i] + (weights[i] / weightSum) * (1f - weightSum);
float weight = weights[i] / weightSum;
noise.filter = (float value, Vector3 position) => Math.Abs(value) * weight;
//noise.filter = (float value, Vector2 position) => (Math.Abs(value) - 0.5f)*2f*weight;
//o filtro do ultimo noise coloca os valores no intervalo [-1,1]
if (i != steps - 1)
{
sumNoise.addNoise(noise, (float a, float b) => a + b);
}
else
{
sumNoise.addNoise(noise, (float a, float b) => ((a + b) - 0.5f) * 2f);
}
period *= 0.5f;
periodLoop.X *= 2;
periodLoop.Y *= 2;
periodLoop.Z *= 2;
}
//sumNoise.filter = (float a, Vector2 b) => { return (a + 1f) / 2f; };
sumNoise.filter = (float a, Vector3 b) => a;
return sumNoise;
}
public static Noise3D RegularNoise(float period, int steps, Point3 periodLoop, int seed)
{
if (steps == 0)
throw new Exception("Can't create a noise regular noise with 0 steps");
SumNoise3D sumNoise = new SumNoise3D();
Random rdm = new Random(seed);
LoopableNoise3D noise;
float[] weights = new float[steps];
weights[0] = 0.5f;
float weightSum = 0.5f;
for (int i = 1; i < steps; i++)
{
weights[i] = weights[i - 1] * 0.5f;
weightSum += weights[i];
}
//float weight;
Noise3D.noiseSumFunction simpleSum = (float a, float b) => { return a + b; };
for (int j = 0; j < steps; j++)
{
noise = new LoopableNoise3D(rdm.Next(), period, periodLoop);
float weight = weights[j] / weightSum;
noise.filter = (float value, Vector3 position) => { return value * (weight); };
sumNoise.addNoise(noise, simpleSum);
period *= 0.5f;
periodLoop.X *= 2;
periodLoop.Y *= 2;
periodLoop.Z *= 2;
}
return sumNoise;
}