package fr.unistra.pelican.util.vectorial.orders; import java.util.Arrays; import java.util.Comparator; import fr.unistra.pelican.util.vectorial.VectorPixel; /** * This class represents a vector ordering designed for Hue Saturation Luminance/Lightness type spaces. * It consists of a weighted sum of its components. The dimension order is assumed as H-> S-> L. * * @author E.A. * */ public class LuminanceHueOrdering implements VectorialOrdering,Comparator { private double[] d = null; private double refHue; private double slope; private double offset; public LuminanceHueOrdering(double refHue) { this.refHue = refHue; slope = 5.0; offset = 0.5; } public LuminanceHueOrdering(double refHue,double offset, double slope) { this.refHue = refHue; this.slope = slope; this.offset = offset; } /* * (non-Javadoc) * @see fr.unistra.pelican.util.vectorial.orders.VectorialOrdering#max(double[][]) */ public double[] max(double[][] p) { double[] max = p[0]; for(int i = 1; i < p.length; i++){ if(this.compare(max,p[i]) < 0) max = p[i]; } return max; } /* * (non-Javadoc) * @see fr.unistra.pelican.util.vectorial.orders.VectorialOrdering#min(double[][]) */ public double[] min(double[][] p) { double[] min = p[0]; for(int i = 1; i < p.length; i++){ if(this.compare(min,p[i]) > 0) min = p[i]; } return min; } /* * (non-Javadoc) * @see fr.unistra.pelican.util.vectorial.orders.VectorialOrdering#rank(double[][], int) */ public double[] rank(double[][] p,int r) { preprocess(p); // it might seem like trouble // to go into using subclasses // for a simple indexed sorting // but when the channel number goes up.. // quicksort will pay off. IndexedDouble[] id = new IndexedDouble[d.length]; for(int i = 0; i < d.length; i++) id[i] = new IndexedDouble(d[i],i); Arrays.sort(id); return p[id[r].i]; } /* * (non-Javadoc) * @see fr.unistra.pelican.util.vectorial.orders.VectorialOrdering#order(fr.unistra.pelican.util.vectorial.VectorPixel[]) */ public VectorPixel[] order(VectorPixel[] v) { double[][] p = new double[v.length][]; VectorPixel[] result = new VectorPixel[v.length]; for(int i = 0; i < v.length; i++) p[i] = v[i].getVector(); preprocess(p); IndexedDouble[] id = new IndexedDouble[d.length]; for(int i = 0; i < d.length; i++) id[i] = new IndexedDouble(d[i],i); Arrays.sort(id); for(int i = 0; i < v.length; i++) result[i] = v[id[i].i]; return result; } // scalarize every vector independently private void preprocess(double[][] p) { d = new double[p.length]; for(int i = 0; i < d.length; i++) d[i] = scalarize(p[i]); } private double scalarize(double[] z) { double h = z[0]; double abs = Math.abs(refHue - h); double deltaHue = 0.0; if(abs <= 0.5) deltaHue = 2 * (0.5 - abs); else deltaHue = 2 * (0.5 - 1.0 + abs); double beta = 0.0; if(z[2] <= 0.5) beta = 2/(1 + Math.exp(-10 * (z[2]-0.5))); else beta = 2/(1 + Math.exp(10 * (z[2]-0.5))); double alpha = 1 / (1 + Math.exp(-1 * slope * (z[1] - offset))) * beta; alpha = 0.0; return (1 - alpha) * z[2] + alpha * deltaHue; } private class IndexedDouble implements Comparable { double d; int i; IndexedDouble(double d,int i) { this.d = d; this.i = i; } public int compareTo(Object o){ IndexedDouble d = (IndexedDouble)o; if(this.d < d.d) return -1; else if(this.d > d.d) return 1; else return 0; } } /** * Compares the given arguments according to this ordering * * @param o1 first double valued array or vector pixel * @param o2 second double valued array or vector pixel * @return 1,-1 or 0 if o1 is respectively superior, inferior or equal to o2 */ public int compare(Object o1,Object o2) { double[][] v = new double[2][]; v[0] = (double[])o1; v[1] = (double[])o2; preprocess(v); if(d[0] < d[1]) return -1; else if(d[0] > d[1]) return 1; else return 0; } /* * (non-Javadoc) * @see fr.unistra.pelican.util.vectorial.orders.VectorialOrdering#max(double[], double[]) */ public double[] max(double[] p,double[] r) { if(compare(p,r) == 1) return p; else return r; } /* * (non-Javadoc) * @see fr.unistra.pelican.util.vectorial.orders.VectorialOrdering#min(double[], double[]) */ public double[] min(double[] p,double[] r) { if(compare(p,r) == 1) return r; else return p; } }