public Point <int> GetMean(LockedBitmap frameBuffer, List <Point <int> > centroids)
{
double mean_x = 0;
double mean_y = 0;
for (int i = 0; i < centroids.Count(); i++)
{
mean_x += centroids[i].X / (double)centroids.Count();
mean_y += centroids[i].Y / (double)centroids.Count();
}
int x = Convert.ToInt32(mean_x);
int y = Convert.ToInt32(mean_y);
frameBuffer.LockBits();
Color c = frameBuffer.GetPixel(x, y);
frameBuffer.UnlockBits();
return(new Point <int>(x, y, c));
}
public void Generate(ref List <Point <int> > centroids, LockedBitmap imageFrame, int size, int distance, int offset)
{
imageFrame.LockBits();
for (int i = 0; i < size; i++)
{
int rand_x = rand.Next(0, imageFrame.width);
int rand_y = rand.Next(0, imageFrame.height);
Point <int> rand_p = new Point <int>(rand_x,
rand_y, imageFrame.GetPixel(rand_x, rand_y));
if (!this.IsValidColor(centroids, rand_p, offset) && !this.IsValidDistance(centroids, rand_p, distance))
{
if (!centroids.Contains(rand_p))
{
centroids.Add(rand_p);
}
}
}
imageFrame.UnlockBits();
}
public Bitmap Compute(Bitmap picBitmap, int size)
{
clusters.Init(picBitmap, size, distance, offset);
LockedBitmap rsltBitmap = new LockedBitmap(clusters[0].bitmapFrame.width, clusters[0].bitmapFrame.height);
int frameIndex = 0;
for (int i = 0; i < clusters.Count(); i++)
{
List <Point <int> > centroids = clusters[i].centroids.ToList();
LockedBitmap frameBuffer = new LockedBitmap(clusters[i].bitmapFrame.bit);
frameBuffer.LockBits();
for (int c = 0; c < centroids.Count(); c++)
{
int width = frameBuffer.width;
int height = frameBuffer.height;
LockedBitmap targetFrame = new LockedBitmap(frameBuffer.width, frameBuffer.height);
targetFrame.LockBits();
for (int row = 0; row < frameBuffer.width; row++)
{
for (int column = 0; column < height; column++)
{
double offset = Euclidian(new Point <int>(row, column, frameBuffer.GetPixel(row, column)),
new Point <int>(centroids[c].X, centroids[c].Y, centroids[c].Clr));
if (offset <= 50)
{
targetFrame.SetPixel(row, column, centroids[c].Clr);
}
else
{
targetFrame.SetPixel(row, column, Color.FromArgb(255, 255, 255));
}
}
}
targetFrame.UnlockBits();
List <Point <int> > targetCnts = new List <Point <int> >();
targetCnts.Add(centroids[0]);
Point <int> mean = clusters.GetMean(targetFrame, targetCnts);
if (mean.X != clusters[i].imCenter.X && mean.Y != clusters[i].imCenter.Y)
{
clusters.Add(targetFrame, targetCnts, mean);
}
frameIndex++;
}
frameBuffer.UnlockBits();
}
rsltBitmap.LockBits();
for (int i = 0; i < clusters.Count(); i++)
{
LockedBitmap frameOut = new LockedBitmap(clusters[i].bitmapFrame.bit);
frameOut.LockBits();
int width = frameOut.width;
int height = frameOut.height;
for (int row = 0; row < width; row++)
{
for (int column = 0; column < height; column++)
{
if (frameOut.GetPixel(row, column) != Color.FromArgb(255, 255, 255))
{
rsltBitmap.SetPixel(row, column, frameOut.GetPixel(row, column));
}
}
}
frameOut.UnlockBits();
}
rsltBitmap.UnlockBits();
return(rsltBitmap.bit);
}