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);
}
}
void findRepresentativeColors(int K, ColorHistogram colorHist)
{
imageColors = new ColorNode[K];
for (int i = 0; i < K; i++)
{
int rgb = colorHist.getColor(i);
int cnt = colorHist.getCount(i);
imageColors[i] = new ColorNode(rgb, cnt);
}
//if (K <= qnum_list[0]) // image has fewer colors than Kmax
// rCols = imageColors;
//else
{
ColorBox initialBox = new ColorBox(0, K - 1, 0, imageColors);
List<ColorBox> colorSet = new List<ColorBox>();
colorSet.Add(initialBox);
int k = 1;
for (int i = 0; i < qnum_list.Count; i++)
{
int Kmax = qnum_list[i];
bool done = false;
while (k < Kmax && !done)
{
ColorBox nextBox = findBoxToSplit(colorSet);
if (nextBox != null)
{
ColorBox newBox = nextBox.splitBox();
colorSet.Add(newBox);
k = k + 1;
}
else
{
done = true;
}
}
quantColors_list.Add(averageColors(colorSet,i));
}
}
colorHist = null;
GC.Collect();
}
public void YIQData(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];
}
}
}
