public int CompareTo(object obj)
{
ColorInfo comp = obj as ColorInfo;
if (midV == comp.midV)
{
return(0);
}
else if (midV < comp.midV)
{
return(-1);
}
else
{
return(1);
}
}
public TileMaker(string filename, int numColors)
{
dds = DDSFile.LoadFile(filename);
int numPixels = dds.Width * dds.Height;
HSVColor[] pixels = new HSVColor[numPixels];
// create the array of colors in this image
int offset = 0;
for (int y = 0; y < dds.Height; y++)
{
for (int x = 0; x < dds.Width; x++)
{
pixels[offset] = HSVColor.FromRGB(dds.GetPixel(x, y));
offset++;
}
}
// compute the clustering
km = new Kmeans(pixels, numColors);
float[] minv = new float[numColors];
float[] maxv = new float[numColors];
for (int i = 0; i < numColors; i++)
{
minv[i] = float.MaxValue;
maxv[i] = float.MinValue;
}
// compute min and max v for each color cluster
for (int y = 0; y < dds.Height; y++)
{
for (int x = 0; x < dds.Width; x++)
{
HSVColor hsv = HSVColor.FromRGB(dds.GetPixel(x, y));
int index = km.ClosestIndex(hsv);
// record min and max v for each channel
float v = hsv.V;
if (v < minv[index])
{
minv[index] = v;
}
if (v > maxv[index])
{
maxv[index] = v;
}
}
}
for (int i = 0; i < numColors; i++)
{
if (minv[i] == float.MaxValue)
{
minv[i] = 0.0f;
}
if (maxv[i] == float.MinValue)
{
maxv[i] = 0.0f;
}
ColorInfo ci = new ColorInfo(i, minv[i], maxv[i], km.CenterColors[i]);
colors.Add(ci);
}
colors.Sort();
// create the mapping from the kmeans returned colors to the sorted colors
kmColorMap = new int[numColors];
for (int i = 0; i < numColors; i++)
{
kmColorMap[colors[i].KMIndex] = i;
}
}
