private static ClusterIndices4X4 CreateClusterIndexBlock(RawBlock4X4Rgba32 raw, out int outputNumClusters,
int numClusters = 3)
{
ClusterIndices4X4 indexBlock = new ClusterIndices4X4();
var indices = LinearClustering.ClusterPixels(raw.AsSpan, 4, 4,
numClusters, 1, 10, false);
var output = indexBlock.AsSpan;
for (int i = 0; i < output.Length; i++)
{
output[i] = indices[i];
}
int nClusters = indexBlock.NumClusters;
if (nClusters < numClusters)
{
indexBlock = indexBlock.Reduce(out nClusters);
}
outputNumClusters = nClusters;
return(indexBlock);
}
public void Clusterize()
{
using var testImage = ImageLoader.testBlur1.Clone();
var pixels = testImage.GetPixelSpan();
int numClusters = (testImage.Width / 32) * (testImage.Height / 32);
var clusters = LinearClustering.ClusterPixels(pixels, testImage.Width, testImage.Height, numClusters, 10, 10);
ColorYCbCr[] pixC = new ColorYCbCr[numClusters];
int[] counts = new int[numClusters];
for (int i = 0; i < pixels.Length; i++)
{
pixC[clusters[i]] += new ColorYCbCr(pixels[i]);
counts[clusters[i]]++;
}
for (int i = 0; i < numClusters; i++)
{
pixC[i] /= counts[i];
}
for (int i = 0; i < pixels.Length; i++)
{
pixels[i] = pixC[clusters[i]].ToRgba32();
}
using var fs = File.OpenWrite("test_cluster.png");
testImage.SaveAsPng(fs);
}
