public void MstQuantiztion()
{
CalcDistColorsWithApproximation();
MapColorsIntoList();
distinctColorsCount = distinctColors.Count;
MstPrimEager mstPrim = new MstPrimEager(distinctColors.Count);
mstPrim.GetMst();
if (MainForm.K > mstPrim.edgeTo.Count())
{
MessageBox.Show("The K you provided is too high please choose a lower one");
return;
}
if (MainForm.K < 0)
{
AutoKdetection autoKdetection = new AutoKdetection(mstPrim.edgeTo);
MainForm.K = autoKdetection.K;
}
MstClustring Clusters = new MstClustring(MainForm.K, mstPrim.edgeTo);
Clusters.GetClusters();
for (int i = 0; i < height; ++i)
{
for (int j = 0; j < width; ++j)
{
quantizedImageMatrix[i, j] = Clusters.Palette[Util.GetRGBInteger(quantizedImageMatrix[i, j].red, quantizedImageMatrix[i, j].green, quantizedImageMatrix[i, j].blue)];
}
}
}
public void MstQuantiztionWithAutoKdetection()
{
CalcDistColorsWithApproximation();
MapColorsIntoList();
distinctColorsCount = distinctColors.Count;
MstPrimEager mstPrim = new MstPrimEager(distinctColors.Count);
mstPrim.GetMst();
AutoKdetection autoKdetection = new AutoKdetection(mstPrim.edgeTo);
MstClustring Clusters = new MstClustring(autoKdetection.K, mstPrim.edgeTo);
Clusters.GetClusters();
for (int i = 0; i < height; ++i)
{
for (int j = 0; j < width; ++j)
{
quantizedImageMatrix[i, j] = Clusters.Palette[Util.GetRGBInteger(quantizedImageMatrix[i, j].red, quantizedImageMatrix[i, j].green, quantizedImageMatrix[i, j].blue)];
}
}
MainForm.K = autoKdetection.K;
}