public AverageColor()
{
Clusters = new CentroidColor[2] {
gray = new CentroidColor(),
color = new CentroidColor()
};
}
public ClassifiedColor()
{
Clusters = new CentroidColor[7]
{
new CentroidColor(60, 60, 60), //grays
new CentroidColor(180, 60, 60), //r
new CentroidColor(60, 180, 60), //g
new CentroidColor(60, 60, 180), //b
new CentroidColor(60, 180, 180), //c
new CentroidColor(180, 60, 180), //m
new CentroidColor(180, 180, 60), //y
};
}
protected override void Implementation()
{
byte r, g, b;
int key = 0, j = 0, dist = 0, i = 0, ix = bufferIndex;
byte[] color = null;
CentroidColor target = null;
Reset();
while (i < end)
{
color = new byte[3]
{
r = buffer[ix + 2],
g = buffer[ix + 1],
b = buffer[ix]
};
if (isGray(r, g, b))
{
Clusters[0].members.Add(color);
}
else
{
for (j = startCluster, key = int.MaxValue; j < Clusters.Length; j++)
{
dist = euclidDistance(Clusters[j].mean, color);
if (dist < key)
{
key = dist;
target = Clusters[j];
}
}
target.members.Add(color);
}
ix += 4;
if (++i % width == 0)
{
ix += padding;
}
}
Recenter();
//get 1, 2 dominant clusters at indexes b, r
for (g = startCluster, r = 0, b = 0, key = 0, ix = Clusters.Length; g < ix; g++)
{
i = Clusters[g].memberCount;
if (i == 0)
{
continue;
}
if (i > key)
{
r = b;
b = g;
key = Clusters[b].memberCount;
}
}
color = Clusters[b].mean;
mean[0] = color[0];
mean[1] = color[1];
mean[2] = color[2];
}
