public List<Vertex> MakeTestSet(int width, int height, int seed, int count)
{
List<Vertex> set = new List<Vertex>();
Random.Random r = new Random.Random(seed);
for (int i = 0; i < count; i++)
{
set.Add(new Vertex(r.NextFlat_Int(0, width), r.NextFlat_Int(0, height), 0));
}
return set;
}
/// <summary>
/// Constructor
/// </summary>
public OAuth()
{
Parameters = new System.Collections.Generic.List <System.Tuple <string, string> >();
AddParameter("oauth_consumer_key", "");
AddParameter("oauth_nonce", "");
AddParameter("oauth_signature_method", "");
AddParameter("oauth_timestamp", "");
AddParameter("oauth_version", "1.0");
RandomGenerator = new Random.Random();
}
/// <summary>
/// Make a test set of vertexes.
/// </summary>
/// <param name="width"></param>
/// <param name="height"></param>
/// <param name="seed"></param>
/// <param name="count"></param>
/// <returns></returns>
public List <Vertex> MakeTestSet(int width, int height, int seed, int count)
{
List <Vertex> set = new List <Vertex>();
Random.Random r = new Random.Random(seed);
for (int i = 0; i < count; i++)
{
set.Add(new Vertex(r.NextFlat_Int(0, width), r.NextFlat_Int(0, height), 0));
}
return(set);
}
/// <summary>
/// Constructor
/// </summary>
/// <param name="Seed">Seed for random generation</param>
/// <param name="Width">Width of the image</param>
/// <param name="Height">Height of the image</param>
/// <param name="NumberOfPoints">Number of cells</param>
public CellularMap(int Seed, int Width, int Height,int NumberOfPoints)
{
_Width = Width;
_Height = Height;
Random.Random Rand = new Random.Random(Seed);
Distances = new float[Width, Height];
ClosestPoint = new int[Width, Height];
for (int x = 0; x < NumberOfPoints; ++x)
{
Point TempPoint = new Point();
TempPoint.X = Rand.Next(0, Width);
TempPoint.Y = Rand.Next(0, Height);
Points.Add(TempPoint);
}
CalculateDistances();
}
/// <summary>
/// Constructor
/// </summary>
/// <param name="Seed">Seed for random generation</param>
/// <param name="Width">Width of the image</param>
/// <param name="Height">Height of the image</param>
/// <param name="NumberOfPoints">Number of cells</param>
public CellularMap(int Seed, int Width, int Height, int NumberOfPoints)
{
_Width = Width;
_Height = Height;
MinDistance = float.MaxValue;
MaxDistance = float.MinValue;
Random.Random Rand = new Random.Random(Seed);
Distances = new float[Width, Height];
ClosestPoint = new int[Width, Height];
for (int x = 0; x < NumberOfPoints; ++x)
{
Point TempPoint = new Point();
TempPoint.X = Rand.Next(0, Width);
TempPoint.Y = Rand.Next(0, Height);
Points.Add(TempPoint);
}
CalculateDistances();
}
/// <summary>
/// Form a test.
/// </summary>
/// <param name="idealNoNoise"></param>
protected void formTest2D(double[] idealNoNoise, double[] idealNoNoiseVelocity)
{
Random.Random r = new Random.Random();
// Add in wind, auto-pilot on our rocket always successfully adapts so
// that the effect by the wind is guassian process noise.
double[] withProcessNoise = new double[idealNoNoise.Length];
double[] withProcessNoiseVel = new double[idealNoNoise.Length];
for (int i = 0; i < idealNoNoise.Length; i++)
{
// Add in 1 foot = 1 std. deviation of process noise.
withProcessNoise[i] = idealNoNoise[i] + r.NextGuass_Double(0, (double)numericUpDown5.Value);
withProcessNoiseVel[i] = idealNoNoiseVelocity[i] + r.NextGuass_Double(0, (double)numericUpDown6.Value);
}
// Add in measurement noise, the GPS on the rocket measures less often
// than our data but we can just skip things.
// Assume a very good GPS, accurate to +/- 6 feet even at these speeds.
// 2 foot = 1 std dev. is about +/- 6 feet
double[] withAllNoise = new double[idealNoNoise.Length];
double[] withAllNoiseVel = new double[idealNoNoise.Length];
for (int i = 0; i < idealNoNoise.Length; i++)
{
// Add in 1 foot = 1 std. deviation of process noise.
withAllNoise[i] = withProcessNoise[i] + r.NextGuass_Double(0, (double)numericUpDown6.Value);
withAllNoiseVel[i] = withProcessNoiseVel[i] + r.NextGuass_Double(0, 0.2 * (double)numericUpDown6.Value);
}
Kalman2D k = new Kalman2D();
k.Reset(
(double)numericUpDown1.Value,
(double)numericUpDown2.Value,
(double)numericUpDown3.Value,
(double)numericUpDown4.Value, 0);
// Assume we get to see every other measurement we calculated, and use
// the others as the points to compare for estimates.
// Run the filter, note our time unit is 1.
double[] kalman = new double[idealNoNoise.Length];
double[] vel = new double[idealNoNoise.Length];
double[] kGain = new double[idealNoNoise.Length];
for (int i = 0; i < idealNoNoise.Length; i++)
{
if (i == 0)
{
kalman[0] = 0;
vel[0] = k.Velocity;
kGain[0] = k.LastGain;
}
else
{
kalman[i] = k.Update(withAllNoise[i], withAllNoiseVel[i], 1);
vel[i] = k.Velocity;
kGain[i] = k.LastGain;
}
}
for (int i = 0; i < kalman.Length; i++)
{
kalman[i] = (kalman[i] < 100000000000000) ? kalman[i] : 100000000000000;
kalman[i] = (kalman[i] > -100000000000000) ? kalman[i] : -100000000000000;
vel[i] = (vel[i] < 100000000000000) ? vel[i] : 100000000000000;
vel[i] = (vel[i] > -100000000000000) ? vel[i] : -100000000000000;
}
// Compute errors.
double[] kalmanDelIdeal = new double[idealNoNoise.Length];
double[] measuredDelIdeal = new double[idealNoNoise.Length];
for (int i = 0; i < idealNoNoise.Length; i += 2)
{
kalmanDelIdeal[i] = kalman[i] - idealNoNoise[i];
measuredDelIdeal[i] = withAllNoise[i] - idealNoNoise[i];
}
// Chart stuff.
chart1.Series.Clear();
graph(chart1, "ideal", idealNoNoise, Color.Black);
graph(chart1, "measured", withAllNoise, Color.Blue);
graph(chart1, "kalman", kalman, Color.Red);
chart1.ChartAreas[0].RecalculateAxesScale();
chart2.Series.Clear();
graph(chart2, "Measurement", measuredDelIdeal, Color.Blue);
graph(chart2, "Kalman", kalmanDelIdeal, Color.Black);
chart2.ChartAreas[0].RecalculateAxesScale();
chart3.Series.Clear();
graph(chart3, "Velocity", vel, Color.Black);
chart3.ChartAreas[0].RecalculateAxesScale();
chart4.Series.Clear();
graph(chart4, "Gain", kGain, Color.Black);
chart4.ChartAreas[0].RecalculateAxesScale();
}
/// <summary>
/// adds noise to the image
/// </summary>
/// <param name="Image">Image to manipulate</param>
/// <param name="Amount">Amount of noise to add</param>
/// <returns>A bitmap image</returns>
public static Bitmap AddNoise(Bitmap Image, int Amount)
{
System.Drawing.Bitmap TempBitmap = Image;
System.Drawing.Bitmap NewBitmap = new System.Drawing.Bitmap(TempBitmap.Width, TempBitmap.Height);
System.Drawing.Graphics NewGraphics = System.Drawing.Graphics.FromImage(NewBitmap);
NewGraphics.DrawImage(TempBitmap, new System.Drawing.Rectangle(0, 0, TempBitmap.Width, TempBitmap.Height), new System.Drawing.Rectangle(0, 0, TempBitmap.Width, TempBitmap.Height), System.Drawing.GraphicsUnit.Pixel);
NewGraphics.Dispose();
Random.Random TempRandom = new Random.Random();
for (int x = 0; x < NewBitmap.Width; ++x)
{
for (int y = 0; y < NewBitmap.Height; ++y)
{
Color CurrentPixel = TempBitmap.GetPixel(x, y);
int R = CurrentPixel.R + TempRandom.Next(-Amount, Amount + 1);
int G = CurrentPixel.G + TempRandom.Next(-Amount, Amount + 1);
int B = CurrentPixel.B + TempRandom.Next(-Amount, Amount + 1);
R = R > 255 ? 255 : R;
R = R < 0 ? 0 : R;
G = G > 255 ? 255 : G;
G = G < 0 ? 0 : G;
B = B > 255 ? 255 : B;
B = B < 0 ? 0 : B;
Color TempValue = Color.FromArgb(R, G, B);
NewBitmap.SetPixel(x, y, TempValue);
}
}
return NewBitmap;
}
/// <summary>
/// Does dilation
/// </summary>
/// <param name="Image">Image to manipulate</param>
/// <param name="Size">Size of the aperture</param>
public static Bitmap Dilate(Bitmap Image, int Size)
{
System.Drawing.Bitmap TempBitmap = Image;
System.Drawing.Bitmap NewBitmap = new System.Drawing.Bitmap(TempBitmap.Width, TempBitmap.Height);
System.Drawing.Graphics NewGraphics = System.Drawing.Graphics.FromImage(NewBitmap);
NewGraphics.DrawImage(TempBitmap, new System.Drawing.Rectangle(0, 0, TempBitmap.Width, TempBitmap.Height), new System.Drawing.Rectangle(0, 0, TempBitmap.Width, TempBitmap.Height), System.Drawing.GraphicsUnit.Pixel);
NewGraphics.Dispose();
Random.Random TempRandom = new Random.Random();
int ApetureMin = -(Size / 2);
int ApetureMax = (Size / 2);
for (int x = 0; x < NewBitmap.Width; ++x)
{
for (int y = 0; y < NewBitmap.Height; ++y)
{
int RValue = 0;
int GValue = 0;
int BValue = 0;
for (int x2 = ApetureMin; x2 < ApetureMax; ++x2)
{
int TempX = x + x2;
if (TempX >= 0 && TempX < NewBitmap.Width)
{
for (int y2 = ApetureMin; y2 < ApetureMax; ++y2)
{
int TempY = y + y2;
if (TempY >= 0 && TempY < NewBitmap.Height)
{
Color TempColor = TempBitmap.GetPixel(TempX, TempY);
if (TempColor.R > RValue)
RValue = TempColor.R;
if (TempColor.G > GValue)
GValue = TempColor.G;
if (TempColor.B > BValue)
BValue = TempColor.B;
}
}
}
}
Color TempPixel = Color.FromArgb(RValue, GValue, BValue);
NewBitmap.SetPixel(x, y, TempPixel);
}
}
return NewBitmap;
}
/// <summary>
/// Does smoothing using a SNN blur
/// </summary>
/// <param name="Image">Image to manipulate</param>
/// <param name="Size">Size of the aperture</param>
public static Bitmap SNNBlur(Bitmap Image, int Size)
{
System.Drawing.Bitmap TempBitmap = Image;
System.Drawing.Bitmap NewBitmap = new System.Drawing.Bitmap(TempBitmap.Width, TempBitmap.Height);
System.Drawing.Graphics NewGraphics = System.Drawing.Graphics.FromImage(NewBitmap);
NewGraphics.DrawImage(TempBitmap, new System.Drawing.Rectangle(0, 0, TempBitmap.Width, TempBitmap.Height), new System.Drawing.Rectangle(0, 0, TempBitmap.Width, TempBitmap.Height), System.Drawing.GraphicsUnit.Pixel);
NewGraphics.Dispose();
Random.Random TempRandom = new Random.Random();
int ApetureMinX = -(Size / 2);
int ApetureMaxX = (Size / 2);
int ApetureMinY = -(Size / 2);
int ApetureMaxY = (Size / 2);
for (int x = 0; x < NewBitmap.Width; ++x)
{
for (int y = 0; y < NewBitmap.Height; ++y)
{
int RValue = 0;
int GValue = 0;
int BValue = 0;
int NumPixels=0;
for (int x2 = ApetureMinX; x2 < ApetureMaxX; ++x2)
{
int TempX1 = x + x2;
int TempX2 = x - x2;
if (TempX1 >= 0 && TempX1 < NewBitmap.Width && TempX2 >= 0 && TempX2 < NewBitmap.Width)
{
for (int y2 = ApetureMinY; y2 < ApetureMaxY; ++y2)
{
int TempY1 = y + y2;
int TempY2 = y - y2;
if (TempY1 >= 0 && TempY1 < NewBitmap.Height && TempY2 >= 0 && TempY2 < NewBitmap.Height)
{
Color TempColor = TempBitmap.GetPixel(x, y);
Color TempColor2 = TempBitmap.GetPixel(TempX1, TempY1);
Color TempColor3 = TempBitmap.GetPixel(TempX2, TempY2);
if (Distance(TempColor.R, TempColor2.R, TempColor.G, TempColor2.G, TempColor.B, TempColor2.B) <
Distance(TempColor.R, TempColor3.R, TempColor.G, TempColor3.G, TempColor.B, TempColor3.B))
{
RValue += TempColor2.R;
GValue += TempColor2.G;
BValue += TempColor2.B;
}
else
{
RValue += TempColor3.R;
GValue += TempColor3.G;
BValue += TempColor3.B;
}
++NumPixels;
}
}
}
}
Color MeanPixel = Color.FromArgb(RValue / NumPixels,
GValue / NumPixels,
BValue / NumPixels);
NewBitmap.SetPixel(x, y, MeanPixel);
}
}
return NewBitmap;
}
/// <summary>
/// Does smoothing using a median filter
/// </summary>
/// <param name="Image">Image to manipulate</param>
/// <param name="Size">Size of the aperture</param>
public static Bitmap MedianFilter(Bitmap Image, int Size)
{
System.Drawing.Bitmap TempBitmap = Image;
System.Drawing.Bitmap NewBitmap = new System.Drawing.Bitmap(TempBitmap.Width, TempBitmap.Height);
System.Drawing.Graphics NewGraphics = System.Drawing.Graphics.FromImage(NewBitmap);
NewGraphics.DrawImage(TempBitmap, new System.Drawing.Rectangle(0, 0, TempBitmap.Width, TempBitmap.Height), new System.Drawing.Rectangle(0, 0, TempBitmap.Width, TempBitmap.Height), System.Drawing.GraphicsUnit.Pixel);
NewGraphics.Dispose();
Random.Random TempRandom = new Random.Random();
int ApetureMin = -(Size / 2);
int ApetureMax = (Size / 2);
for (int x = 0; x < NewBitmap.Width; ++x)
{
for (int y = 0; y < NewBitmap.Height; ++y)
{
List<int> RValues = new List<int>();
List<int> GValues = new List<int>();
List<int> BValues = new List<int>();
for (int x2 = ApetureMin; x2 < ApetureMax; ++x2)
{
int TempX = x + x2;
if (TempX >= 0 && TempX < NewBitmap.Width)
{
for (int y2 = ApetureMin; y2 < ApetureMax; ++y2)
{
int TempY = y + y2;
if (TempY >= 0 && TempY < NewBitmap.Height)
{
Color TempColor = TempBitmap.GetPixel(TempX, TempY);
RValues.Add(TempColor.R);
GValues.Add(TempColor.G);
BValues.Add(TempColor.B);
}
}
}
}
RValues.Sort();
GValues.Sort();
BValues.Sort();
Color MedianPixel = Color.FromArgb(RValues[RValues.Count / 2],
GValues[GValues.Count / 2],
BValues[BValues.Count / 2]);
NewBitmap.SetPixel(x, y, MedianPixel);
}
}
return NewBitmap;
}
/// <summary>
/// Does smoothing using a kuwahara blur
/// </summary>
/// <param name="Image">Image to manipulate</param>
/// <param name="Size">Size of the aperture</param>
public static Bitmap KuwaharaBlur(Bitmap Image, int Size)
{
System.Drawing.Bitmap TempBitmap = Image;
System.Drawing.Bitmap NewBitmap = new System.Drawing.Bitmap(TempBitmap.Width, TempBitmap.Height);
System.Drawing.Graphics NewGraphics = System.Drawing.Graphics.FromImage(NewBitmap);
NewGraphics.DrawImage(TempBitmap, new System.Drawing.Rectangle(0, 0, TempBitmap.Width, TempBitmap.Height), new System.Drawing.Rectangle(0, 0, TempBitmap.Width, TempBitmap.Height), System.Drawing.GraphicsUnit.Pixel);
NewGraphics.Dispose();
Random.Random TempRandom = new Random.Random();
int[] ApetureMinX = { -(Size / 2), 0, -(Size / 2), 0 };
int[] ApetureMaxX = { 0, (Size / 2), 0, (Size / 2) };
int[] ApetureMinY = { -(Size / 2), -(Size / 2), 0, 0 };
int[] ApetureMaxY = { 0, 0, (Size / 2), (Size / 2) };
for (int x = 0; x < NewBitmap.Width; ++x)
{
for (int y = 0; y < NewBitmap.Height; ++y)
{
int[] RValues = { 0, 0, 0, 0 };
int[] GValues = { 0, 0, 0, 0 };
int[] BValues = { 0, 0, 0, 0 };
int[] NumPixels = { 0, 0, 0, 0 };
int[] MaxRValue = { 0, 0, 0, 0 };
int[] MaxGValue = { 0, 0, 0, 0 };
int[] MaxBValue = { 0, 0, 0, 0 };
int[] MinRValue = { 255, 255, 255, 255 };
int[] MinGValue = { 255, 255, 255, 255 };
int[] MinBValue = { 255, 255, 255, 255 };
for (int i = 0; i < 4; ++i)
{
for (int x2 = ApetureMinX[i]; x2 < ApetureMaxX[i]; ++x2)
{
int TempX = x + x2;
if (TempX >= 0 && TempX < NewBitmap.Width)
{
for (int y2 = ApetureMinY[i]; y2 < ApetureMaxY[i]; ++y2)
{
int TempY = y + y2;
if (TempY >= 0 && TempY < NewBitmap.Height)
{
Color TempColor = TempBitmap.GetPixel(TempX, TempY);
RValues[i] += TempColor.R;
GValues[i] += TempColor.G;
BValues[i] += TempColor.B;
if (TempColor.R > MaxRValue[i])
{
MaxRValue[i] = TempColor.R;
}
else if (TempColor.R < MinRValue[i])
{
MinRValue[i] = TempColor.R;
}
if (TempColor.G > MaxGValue[i])
{
MaxGValue[i] = TempColor.G;
}
else if (TempColor.G < MinGValue[i])
{
MinGValue[i] = TempColor.G;
}
if (TempColor.B > MaxBValue[i])
{
MaxBValue[i] = TempColor.B;
}
else if (TempColor.B < MinBValue[i])
{
MinBValue[i] = TempColor.B;
}
++NumPixels[i];
}
}
}
}
}
int j = 0;
int MinDifference = 10000;
for (int i = 0; i < 4; ++i)
{
int CurrentDifference = (MaxRValue[i] - MinRValue[i]) + (MaxGValue[i] - MinGValue[i]) + (MaxBValue[i] - MinBValue[i]);
if (CurrentDifference < MinDifference && NumPixels[i] > 0)
{
j = i;
MinDifference = CurrentDifference;
}
}
Color MeanPixel = Color.FromArgb(RValues[j] / NumPixels[j],
GValues[j] / NumPixels[j],
BValues[j] / NumPixels[j]);
NewBitmap.SetPixel(x, y, MeanPixel);
}
}
return NewBitmap;
}
/// <summary>
/// Causes a "Jitter" effect
/// </summary>
/// <param name="Image">Image to manipulate</param>
/// <param name="MaxJitter">Maximum number of pixels the item can move</param>
public static Bitmap Jitter(Bitmap Image, int MaxJitter)
{
System.Drawing.Bitmap TempBitmap = Image;
System.Drawing.Bitmap NewBitmap = new System.Drawing.Bitmap(TempBitmap.Width, TempBitmap.Height);
System.Drawing.Graphics NewGraphics = System.Drawing.Graphics.FromImage(NewBitmap);
NewGraphics.DrawImage(TempBitmap, new System.Drawing.Rectangle(0, 0, TempBitmap.Width, TempBitmap.Height), new System.Drawing.Rectangle(0, 0, TempBitmap.Width, TempBitmap.Height), System.Drawing.GraphicsUnit.Pixel);
NewGraphics.Dispose();
Random.Random TempRandom = new Random.Random();
for (int x = 0; x < NewBitmap.Width; ++x)
{
for (int y = 0; y < NewBitmap.Height; ++y)
{
int NewX=TempRandom.Next(-MaxJitter, MaxJitter);
int NewY = TempRandom.Next(-MaxJitter, MaxJitter);
NewX += x;
NewY += y;
if (NewX >= NewBitmap.Width)
NewX = NewBitmap.Width - 1;
else if (NewX < 0)
NewX = 0;
if (NewY >= NewBitmap.Height)
NewY = NewBitmap.Height - 1;
else if (NewY < 0)
NewY = 0;
NewBitmap.SetPixel(NewX, NewY, Image.GetPixel(x,y));
}
}
return NewBitmap;
}
/// <summary>
/// Causes a "Jitter" effect
/// </summary>
/// <param name="OriginalImage">Image to manipulate</param>
/// <param name="MaxJitter">Maximum number of pixels the item can move</param>
/// <param name="FileName">File to save to</param>
/// <returns>A bitmap object</returns>
public static Bitmap Jitter(this Bitmap OriginalImage, int MaxJitter = 5, string FileName = "")
{
if (OriginalImage == null)
throw new ArgumentNullException("OriginalImage");
ImageFormat FormatUsing = FileName.GetImageFormat();
Bitmap NewBitmap = new Bitmap(OriginalImage, OriginalImage.Width, OriginalImage.Height);
BitmapData NewData = NewBitmap.LockImage();
BitmapData OldData = OriginalImage.LockImage();
int NewPixelSize = NewData.GetPixelSize();
int OldPixelSize = OldData.GetPixelSize();
Random.Random TempRandom = new Random.Random();
for (int x = 0; x < NewBitmap.Width; ++x)
{
for (int y = 0; y < NewBitmap.Height; ++y)
{
int NewX = TempRandom.Next(-MaxJitter, MaxJitter);
int NewY = TempRandom.Next(-MaxJitter, MaxJitter);
NewX += x;
NewY += y;
NewX = NewX.Clamp(NewBitmap.Width - 1, 0);
NewY = NewY.Clamp(NewBitmap.Height - 1, 0);
NewData.SetPixel(x, y, OldData.GetPixel(NewX, NewY, OldPixelSize), NewPixelSize);
}
}
NewBitmap.UnlockImage(NewData);
OriginalImage.UnlockImage(OldData);
if (!string.IsNullOrEmpty(FileName))
NewBitmap.Save(FileName, FormatUsing);
return NewBitmap;
}
/// <summary>
/// adds noise to the image
/// </summary>
/// <param name="OriginalImage">Image to add noise to</param>
/// <param name="FileName">Location to save the image to (optional)</param>
/// <param name="Amount">Amount of noise to add (defaults to 10)</param>
/// <returns>New image object with the noise added</returns>
public static Bitmap AddNoise(this Bitmap OriginalImage, int Amount = 10, string FileName = "")
{
if (OriginalImage == null)
throw new ArgumentNullException("OriginalImage");
ImageFormat FormatUsing = FileName.GetImageFormat();
Bitmap NewBitmap = new Bitmap(OriginalImage.Width, OriginalImage.Height);
BitmapData NewData = NewBitmap.LockImage();
BitmapData OldData = OriginalImage.LockImage();
int NewPixelSize = NewData.GetPixelSize();
int OldPixelSize = OldData.GetPixelSize();
Random.Random TempRandom = new Random.Random();
for (int x = 0; x < NewBitmap.Width; ++x)
{
for (int y = 0; y < NewBitmap.Height; ++y)
{
Color CurrentPixel = OldData.GetPixel(x, y, OldPixelSize);
int R = CurrentPixel.R + TempRandom.Next(-Amount, Amount + 1);
int G = CurrentPixel.G + TempRandom.Next(-Amount, Amount + 1);
int B = CurrentPixel.B + TempRandom.Next(-Amount, Amount + 1);
R = R > 255 ? 255 : R;
R = R < 0 ? 0 : R;
G = G > 255 ? 255 : G;
G = G < 0 ? 0 : G;
B = B > 255 ? 255 : B;
B = B < 0 ? 0 : B;
Color TempValue = Color.FromArgb(R, G, B);
NewData.SetPixel(x, y, TempValue, NewPixelSize);
}
}
NewBitmap.UnlockImage(NewData);
OriginalImage.UnlockImage(OldData);
if (!string.IsNullOrEmpty(FileName))
NewBitmap.Save(FileName, FormatUsing);
return NewBitmap;
}
