package fr.unistra.pelican.algorithms.histogram; import fr.unistra.pelican.Algorithm; import fr.unistra.pelican.AlgorithmException; import fr.unistra.pelican.Image; /** * Computes the normalized histogram of a monoband dataset * * @author Sebastien lefevre * * TODO : compute the appropriate histogram size */ public class Histogram extends Algorithm { /** * Input parameter. */ public Image input; /** * Optionnal output parameter which indicates if the histogram will be * normalized. */ public Boolean normalized=false; /** * Output parameter. */ public double[] output; /** * Constructor * */ public Histogram() { super(); super.inputs = "input"; super.options = "normalized"; super.outputs = "output"; } /* * (non-Javadoc) * * @see fr.unistra.pelican.Algorithm#launch() */ public void launch() throws AlgorithmException { // TODO : compute the appopriate histogram size int size = 256; output = new double[size]; for (int i = 0; i < size; i++) output[i] = 0.0; int nbPixels=0; for (int x = 0; x < input.getXDim(); x++) for (int y = 0; y < input.getYDim(); y++) for (int z = 0; z < input.getZDim(); z++) for (int t = 0; t < input.getTDim(); t++) if(this.input.isPresentXYZT( x,y,z,t )) { output[input.getPixelXYZTByte(x, y, z, t)]++; nbPixels++; } if (normalized) for (int i = 0; i < size; i++) output[i] /= nbPixels; } /** * Static fonction that use this algorithm. * * Computes the normalized histogram of a monoband dataset. * * @param image * Image to be converted in a histogram. * @param normalized * Indicates if the histogram will be normalized. * @return result The normalized histogram */ public static double[] exec(Image input, boolean normalized) { return (double[]) new Histogram().process(input, normalized); } /** * Static fonction that use this algorithm. * * Computes the normalized histogram of a monoband dataset. * * @param image * Image to be converted in a histogram. * @return result The normalized histogram */ public static double[] exec(Image input) { return (double[]) new Histogram().process(input); } }