package fr.unistra.pelican.algorithms.histogram;
import fr.unistra.pelican.Algorithm;
import fr.unistra.pelican.AlgorithmException;
import fr.unistra.pelican.Image;
/**
* Custom size normalized histogram for monochannel data.
*
* @author Erchan Aptoula
*
*/
public class CustomHistogram extends Algorithm {
/**
* First input parameter
*/
public Image input;
/**
* First optional parameter
*/
public boolean normalized;
/**
* Second optional parameter
*/
public int size;
/**
* Output parameter
*/
public double[] output;
/**
* Constructor
*
*/
public CustomHistogram() {
super();
super.inputs = "input";
super.options = "normalized,size";
super.outputs = "output";
}
/*
* (non-Javadoc)
*
* @see fr.unistra.pelican.Algorithm#launch()
*/
public void launch() throws AlgorithmException {
output = new double[size];
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++)
output[input.getPixelXYZTByte(x, y, z, t)]++;
if (normalized)
for (int i = 0; i < size; i++)
output[i] /= input.getXDim() * input.getYDim()
* input.getZDim() * input.getTDim();
}
/**
* Custom size normalized histogram for monochannel data.
*
* @param input
* The image use to create the histogram.
* @return An array of double which is the histogram.
*/
public static Image exec(Image input) {
return (Image) new CustomHistogram().process(input);
}
}