public static PercentagAreasData Calculate(WriteableBitmap bmp, Expression <Func <HSLColor, bool> > condition)
{
int width = bmp.PixelWidth;
int height = bmp.PixelHeight;
int totalPixels = width * height;
Func <HSLColor, bool> f = condition.Compile();
int sum = 0;
using (BitmapContext context = bmp.GetBitmapContext())
{
for (int y = 0; y < height; y++)
{
for (int x = 0; x < width; x++)
{
Color tmp = PixelHelper.GetPixel(context, x, y);
if (f.Invoke(RGB2HSL(tmp)))
{
++sum;
}
}
}
}
return(new PercentagAreasData(sum, totalPixels));
}
private static bool Delete2s(BitmapContext context, int[,] pixels, bool change)
{
int width = context.Width;
int height = context.Height;
for (int i = 0; i < width; i++)
{
for (int j = 0; j < height; j++)
{
if (pixels[i, j] == 2)
{
int weight = CalculateWeight(i, j, context);
if (A.Contains(weight))
{
pixels[i, j] = 0;
PixelHelper.SetWhite(context, i, j);
change = true;
}
else
{
pixels[i, j] = 1;
}
}
}
}
return(change);
}
public static Dictionary <Point, MinutiaeType> DetectMinutiae(WriteableBitmap bitmap)
{
Dictionary <Point, MinutiaeType> points = new Dictionary <Point, MinutiaeType>();
using (BitmapContext context = bitmap.GetBitmapContext())
{
int width = context.Width;
int height = context.Height;
int[] mask = new int[9];
for (int x = 1; x < width - 1; ++x)
{
for (int y = 1; y < height - 1; ++y)
{
if (PixelHelper.IsBlack(context, x, y))
{
mask[0] = PixelHelper.IsWhite(context, x, y + 1) ? 0 : 1;
mask[1] = PixelHelper.IsWhite(context, x - 1, y + 1) ? 0 : 1;
mask[2] = PixelHelper.IsWhite(context, x - 1, y) ? 0 : 1;
mask[3] = PixelHelper.IsWhite(context, x - 1, y - 1) ? 0 : 1;
mask[4] = PixelHelper.IsWhite(context, x, y - 1) ? 0 : 1;
mask[5] = PixelHelper.IsWhite(context, x + 1, y - 1) ? 0 : 1;
mask[6] = PixelHelper.IsWhite(context, x + 1, y) ? 0 : 1;
mask[7] = PixelHelper.IsWhite(context, x + 1, y + 1) ? 0 : 1;
mask[8] = mask[0];
MinutiaeType cn = CalculateCN(mask);
if (IsMinutiae(cn))
{
points.Add(new Point(x, y), cn);
if (cn == MinutiaeType.Point)
{
PixelHelper.SetPixel(context, x, y, Colors.Red);
}
else if (cn == MinutiaeType.Ending)
{
PixelHelper.SetPixel(context, x, y, Colors.Green);
}
else if (cn == MinutiaeType.Fork)
{
PixelHelper.SetPixel(context, x, y, Colors.Yellow);
}
else if (cn == MinutiaeType.Crossing)
{
PixelHelper.SetPixel(context, x, y, Colors.DeepPink);
}
}
}
}
}
}
return(points);
}
public static void MedianFilter(WriteableBitmap Input, int maskSize)
{
int width = Input.PixelWidth;
int height = Input.PixelHeight;
WriteableBitmap originalImage = Input.Clone();
using (BitmapContext contextOriginal = originalImage.GetBitmapContext())
{
using (BitmapContext context = Input.GetBitmapContext())
{
// red, green and blue are a 2D square of odd size like 3x3, 5x5, 7x7, ... For simplicity stored it into 1D array.
byte[] red, green, blue;
/** Median Filter operation */
for (int y = 0; y < height; y++)
{
for (int x = 0; x < width; x++)
{
byte a = PixelHelper.GetPixel(contextOriginal, x, y).A;
red = new byte[maskSize * maskSize];
green = new byte[maskSize * maskSize];
blue = new byte[maskSize * maskSize];
int count = 0;
for (int r = y - (maskSize / 2); r <= y + (maskSize / 2); r++)
{
for (int c = x - (maskSize / 2); c <= x + (maskSize / 2); c++)
{
if (r < 0 || r >= height || c < 0 || c >= width)
{
/** Some portion of the mask is outside the image. */
continue;
}
else
{
Color tmp = PixelHelper.GetPixel(contextOriginal, c, r);
red[count] = tmp.R;
green[count] = tmp.G;
blue[count] = tmp.B;
++count;
}
}
}
Array.Sort(red);
Array.Sort(green);
Array.Sort(blue);
int index = (count % 2 == 0) ? count / 2 - 1 : count / 2;
PixelHelper.SetPixel(context, x, y, a, red[index], green[index], blue[index]);
}
}
}
}
}
public static WriteableBitmap DilateAndErode(WriteableBitmap writeableBitmap, bool?[,] matrix3x3)
{
int width = writeableBitmap.PixelWidth;
int height = writeableBitmap.PixelHeight;
WriteableBitmap newImage = writeableBitmap.Clone();
using (BitmapContext newcontext = newImage.GetBitmapContext())
{
using (BitmapContext context = writeableBitmap.GetBitmapContext())
{
for (int x = 0; x < width; ++x)
{
for (int y = 0; y < height; ++y)
{
bool exaclyMatch = true;
for (int i = 0; i < 3; ++i)
{
for (int j = 0; j < 3; ++j)
{
bool?matVal = matrix3x3[i, j];
int cX = x - 1 + i;
int cY = y - 1 + j;
if (cX > 0 && cY > 0 && cX < width && cY < height && matVal != null)
{
if (!(PixelHelper.IsBlack(context, cX, cY) == matVal))
{
exaclyMatch = false;
goto ExitLoop;
}
}
}
}
ExitLoop:
if (exaclyMatch)
{
PixelHelper.SetBlack(newcontext, x, y);
}
else
{
PixelHelper.SetWhite(newcontext, x, y);
}
}
}
}
}
return(newImage);
}
private static int CalculateWeight(int i, int j, BitmapContext context)
{
int width = context.Width;
int height = context.Height;
int[] N = new int[] { 128, 1, 2, 64, 0, 4, 32, 16, 8 };
int weight = 0;
if (i - 1 > 0)
{
if (j - 1 > 0 && PixelHelper.IsBlack(context, i - 1, j - 1))
{
weight += N[0];
}
if (PixelHelper.IsBlack(context, i - 1, j))
{
weight += N[3];
}
if (j + 1 < height && PixelHelper.IsBlack(context, i - 1, j + 1))
{
weight += N[6];
}
}
if (i + 1 < width)
{
if (j - 1 > 0 && PixelHelper.IsBlack(context, i + 1, j - 1))
{
weight += N[2];
}
if (PixelHelper.IsBlack(context, i + 1, j))
{
weight += N[5];
}
if (j + 1 < height && PixelHelper.IsBlack(context, i + 1, j + 1))
{
weight += N[8];
}
}
if (j - 1 > 0 && PixelHelper.IsBlack(context, i, j - 1))
{
weight += N[1];
}
if (j + 1 < height && PixelHelper.IsBlack(context, i, j + 1))
{
weight += N[7];
}
return(weight);
}
private static int[,] PixelInfo(BitmapContext context)
{
int width = context.Width;
int height = context.Height;
int[,] pixels = new int[width, height];
for (int i = 0; i < width; ++i)
{
for (int j = 0; j < height; ++j)
{
if (PixelHelper.IsBlack(context, i, j))
{
pixels[i, j] = 1;
}
else
{
pixels[i, j] = 0;
}
}
}
return(pixels);
}
public static void KuwaharaFilter(WriteableBitmap Image, int size)
{
int width = Image.PixelWidth;
int height = Image.PixelHeight;
WriteableBitmap originalImage = Image.Clone();
using (BitmapContext contextOriginal = originalImage.GetBitmapContext())
{
using (BitmapContext context = Image.GetBitmapContext())
{
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 < width; ++x)
{
for (int y = 0; y < 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 < width)
{
for (int y2 = ApetureMinY[i]; y2 < ApetureMaxY[i]; ++y2)
{
int TempY = y + y2;
if (TempY >= 0 && TempY < height)
{
Color TempColor = PixelHelper.GetPixel(contextOriginal, 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;
}
}
PixelHelper.SetPixel(context, x, y, (byte)(RValues[j] / NumPixels[j]), (byte)(GValues[j] / NumPixels[j]), (byte)(BValues[j] / NumPixels[j]));
}
}
}
}
}