我正在尝试在VB.Net中实现2D Perlin Noise。我花了一整天的时间来寻找解释这个主题的来源，其中最值得注意的是Hugo Elias
这篇文章。大多数实施进展顺利。除了一个在VB.Net中似乎不起作用的非常重要的部分，导致溢出。
function Noise1(integer x, integer y)
n = x + y * 57
n = (n<<13) ^ n;
return ( 1.0 - ( (n * (n * n * 15731 + 789221) + 1376312589) & 7fffffff) / 1073741824.0);
end function
在VB.net中，我将其翻译为
Private Function Noise(tX As Integer, tY As Integer) As Double
'Return a double between -1 & 1 according to a fixed random seed
Dim n As Integer = tX + tY * 57
n = (n << 13) Xor n
Return (1.0 - ((n * (n * n * 15731 + 789221) + BaseSeed) And &H7FFFFFFF) / 1073741824.0)
End Function
导致溢出的原因。
因为这个想法似乎只是简单地生成介于-1和1之间的小数。我已经创建了这个基于坐标和BaseSeed创建整数的小函数。 BaseSeed（999999）是我在游戏特定部分创造的每一种噪音的基础。
Private Function Noise(tX As Integer, tY As Integer) As Double
Dim tSeed As Integer
tSeed = WrapInteger(789221, BaseSeed, (tX * 1087) + (tY * 2749))
RandomGenerator = New Random(tSeed)
Return (RandomGenerator.Next(-10000, 10001) / 10000)
End Function
WrapInteger只是确保数字始终在整数范围内，以避免溢出错误。
Public Function WrapInteger(ByVal Lenght As Integer, ByVal Position As Integer, ByVal Movement As Integer) As Integer
Lenght += 1
Return ((Position + Movement) + (Lenght * ((Abs(Movement) \ Lenght) + 1))) Mod Lenght
End Function
当我用0.25，6八度的持续时间和2的起始频率发射它时，这就是我得到的。这是我缩放的128x128像素位图。
任何人都知道为什么它如此线性？当我看到这张照片时，我感觉它与真相并不相同，就像它只能在一维中工作一样。所有的沉淀。
下面你会找到我的整个PerlinNoise课程。我认为剩下的就好了，但我把它添加到参考目的。此外，我还没能在互联网上找到Perlin Noise的单一VB实现。所以我想如果我能解决这个问题，它可能对其他人有所帮助。在StackOverflow上似乎有很多关于Perlin噪音故障的问题
Public Class cdPerlinNoise
Private RandomGenerator As Random
Private BaseSeed As Integer
Private Persistence As Double
Private Frequency As Integer
Private Octaves As Integer
Public Sub New(tSeed As Integer, tPersistence As Double, tOctaves As Integer, tFrequency As Integer)
Frequency = tFrequency
BaseSeed = tSeed
Persistence = tPersistence
Octaves = tOctaves
End Sub
Private Function Noise(tX As Integer, tY As Integer) As Double
Dim tSeed As Integer
tSeed = WrapInteger(789221, BaseSeed, (tX * 1087) + (tY * 2749))
RandomGenerator = New Random(tSeed)
Return (RandomGenerator.Next(-10000, 10001) / 10000)
End Function
Private Function SmoothNoise(tX As Integer, tY As Integer) As Double
Dim Corners As Double = (Noise(tX - 1, tY - 1) + Noise(tX + 1, tY - 1) + Noise(tX - 1, tY + 1) + Noise(tX + 1, tY + 1)) / 16
Dim Sides As Double = (Noise(tX - 1, tY) + Noise(tX + 1, tY) + Noise(tX, tY - 1) + Noise(tX, tY + 1)) / 8
Return (Noise(tX, tY) / 4) + Corners + Sides
End Function
Private Function InterpolateCosine(tA As Double, tB As Double, tX As Double) As Double
Dim f As Double = (1 - Cos(tX * 3.1415927)) * 0.5
Return tA * (1 - f) + tB * f
End Function
Private Function Interpolate2D(tX As Double, tY As Double) As Double
Dim WholeX As Integer = CInt(Fix(tX))
Dim RemainsX As Double = tX - WholeX
Dim WholeY As Integer = CInt(Fix(tY))
Dim RemainsY As Double = tY - WholeY
Dim v1 As Double = SmoothNoise(WholeX, WholeY)
Dim v2 As Double = SmoothNoise(WholeX + 1, WholeY)
Dim v3 As Double = SmoothNoise(WholeX, WholeY + 1)
Dim v4 As Double = SmoothNoise(WholeX + 1, WholeY + 1)
Dim i1 As Double = InterpolateCosine(v1, v2, RemainsX)
Dim i2 As Double = InterpolateCosine(v3, v4, RemainsX)
Return InterpolateCosine(i1, i2, RemainsY)
End Function
Public Function PerlinValue(tX As Double, tY As Double) As Double
Dim Total As Double = 0
Dim Frequency As Double
Dim Amplitude As Double
For i = 0 To Octaves - 1
Frequency = Frequency ^ i
Amplitude = Persistence ^ i
Total = Total + (Interpolate2D(tX * Frequency, tY * Frequency) * Amplitude)
Next
Return Total
End Function
Public Function ScaleNoise(ByVal tX As Double, ByVal tY As Double, ByVal OutputLow As Double, ByVal OutputHigh As Double) As Double
Dim Range1 As Double
Dim Range2 As Double
Dim Result As Double
Range1 = 1 - -1
Range2 = OutputHigh - OutputLow
'(B*C - A*D)/R1 + n1*(R2/R1)
Result = (((1 * OutputLow) - (-1 * OutputHigh)) / Range1) + ((PerlinValue(tX, tY) * (Range2 / Range1)))
If Result < OutputLow Then
Return OutputLow
ElseIf Result > OutputHigh Then
Return OutputHigh
Else
Return Result
End If
End Function
End Class