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LBGAlgorithm.java
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85 lines (71 loc) · 2.72 KB
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import java.awt.*;
import java.util.ArrayList;
import static java.lang.System.exit;
public class LBGAlgorithm {
private int QuantizationLevels;
private int vectorDim[];
LBGAlgorithm(int QuantizationLevels, int[] vectorDim)
{
this.QuantizationLevels = QuantizationLevels;
this.vectorDim = vectorDim;
}
public ArrayList<ImageVector> LBG(int[][] img)
{
if (img.length%vectorDim[0] != 0 || img[0].length%vectorDim[1] != 0) // cant split to these vector dimensions
{
System.out.println("DIMENSIONS WRONG");
exit(1);
}
ArrayList<ImageVector> allVectors = ImageHandler.getAllVectors(img, vectorDim[0], vectorDim[1]);
ArrayList<Cluster> initialClusters = getInitialClusters(allVectors);
ArrayList<ImageVector> codeBook = refineClusters(initialClusters, allVectors);
return codeBook;
}
private ArrayList<ImageVector> refineClusters(ArrayList<Cluster> clusters, ArrayList<ImageVector> allVectors)
{
for (int k = 0; k < 50; ++k)
{
for (Cluster c : clusters)
c.clearVectors();
for (ImageVector v : allVectors)
{
int pick = 0;
double minDist = clusters.get(0).getRepVector().getDistance(v);
for (int i = 1; i < clusters.size(); ++i)
{
double dist = clusters.get(i).getRepVector().getDistance(v);
if (dist < minDist)
{
pick = i;
minDist = dist;
}
}
clusters.get(pick).addVector(v);
}
for (Cluster c : clusters)
c.calcRep();
}
ArrayList<ImageVector> codeBook = new ArrayList<>();
for (Cluster c : clusters)
codeBook.add(c.getRepVector());
return codeBook;
}
private ArrayList<Cluster> getInitialClusters(ArrayList<ImageVector> allVectors)
{
ArrayList<Cluster> allClusters = new ArrayList<Cluster>();
allClusters.add(new Cluster(allVectors));
while (allClusters.size() < QuantizationLevels)
{
ArrayList<Cluster> newAllClusters = new ArrayList<Cluster>();
for (Cluster c : allClusters)
{
ClusterSplitter splitter = new ClusterSplitter(c);
splitter.split();
newAllClusters.add(splitter.getLowChild());
newAllClusters.add(splitter.getHighChild());
}
allClusters = newAllClusters;
}
return allClusters;
}
}