static ColorComparer()
{
dc = new DistanceComparer();
nc = new NameComparer();
sc = new SaturationComparer();
hc = new HueComparer();
bc = new BrightnessComparer();
uc = new UnsortedComparer();
}
/// <summary>
/// Eliminate colors from the histogram to get closer to the palette colors
/// </summary>
/// <param name="colorList">the histogram</param>
/// <returns>The list of unique colors that will become the palette</returns>
private static IEnumerable <Color> Cut(IEnumerable <Color> colorList)
{
// If there's less or equal to the allowed amount of colors, we're done
if (colorList.Count() <= PALETTE_MAX_COUNT)
{
return(colorList);
}
// Create the comparers
var hueComparer = new HueComparer();
var saturationComparer = new SaturationComparer();
var brightnessComparer = new BrightnessComparer();
// Get the colors with unique hue, staturation and brightness
var hue = colorList.Distinct(hueComparer);
var saturation = colorList.Distinct(saturationComparer);
var brightness = colorList.Distinct(brightnessComparer);
var hueCount = hue.Count();
var saturationCount = saturation.Count();
var brightnessCount = brightness.Count();
// If there are many distinct hue's in the image, make sure to include most of them and prepare to eliminate more
if (hueCount > saturationCount && hueCount > brightnessCount)
{
return(Cut2(hue, saturationComparer, brightnessComparer));
}
// If there are many distinct saturations in the image, make sure to inclode most of them and prepare to eliminate more
else if (saturationCount > hueCount && saturationCount > brightnessCount)
{
return(Cut2(saturation, hueComparer, brightnessComparer));
}
// If there are many distinct luminations in the image, make sure to inclode most of them and prepare to eliminate more
else
{
return(Cut2(brightness, hueComparer, saturationComparer));
}
}