public void getRGBData(ColorHistogram colorHist, double[][] data)
{
int size = colorHist.getNumberOfColors();
for (int x = 0; x < size; x++)
{
data[x] = new double[3];
int rgb = colorHist.getColor(x);
data[x][0] = ((rgb & 0xFF0000) >> 16);
data[x][1] = ((rgb & 0xFF00) >> 8);
data[x][2] = (rgb & 0xFF);
}
}
public void getYIQData(ColorHistogram colorHist, double[][] data)
{
int size = colorHist.getNumberOfColors();
for (int x = 0; x < size; x++)
{
data[x] = new double[3];
int rgb = colorHist.getColor(x);
double[] yiq = RGB2YIQ(rgb);
for (int y = 0; y < 3; y++)
{
data[x][y] = yiq[y];
}
}
}
public string Apply(int k, string fn, string outImagePath)
{
Bitmap srcimg = new Bitmap(fn);
pixels = ImageUtils.BitmapToArray1DIntRGB(srcimg);
ColorHistogram colorHist = new ColorHistogram(pixels, false);
int size = colorHist.getNumberOfColors();
if (size <= k)
{
srcimg.Save(outImagePath, ImageFormat.Png);
}
else
{
double[][] data = new double[size][];
getRGBData(colorHist, data);
ClusterCollection clusters;
KMeansParallel kMeans = new KMeansParallel();
clusters = kMeans.ClusterDataSet(k, data);
PaintRGB(srcimg, kMeans, clusters).Save(outImagePath, ImageFormat.Png);
}
return(outImagePath);
}
