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/*
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 * Image processing operations for SciJava Ops.
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package org.scijava.ops.image.features.haralick;

import java.util.function.Function;

import org.scijava.ops.image.image.cooccurrenceMatrix.MatrixOrientation;
import net.imglib2.RandomAccessibleInterval;
import net.imglib2.type.numeric.RealType;
import net.imglib2.type.numeric.real.DoubleType;

import org.scijava.ops.spi.OpDependency;

/**
 * Implementation of Difference Entropy Haralick Feature
 *
 * @author Andreas Graumann (University of Konstanz)
 * @author Christian Dietz (University of Konstanz)
 * @author Tim-Oliver Buchholz (University of Konstanz)
 * @implNote op names='features.haralick.differenceEntropy'
 */
public class DefaultDifferenceEntropy> extends
	AbstractHaralickFeature
{

	// Avoid log 0
	private static final double EPSILON = Double.MIN_NORMAL;

	@OpDependency(name = "features.haralick.coocPXMinusY")
	private Function coocPXMinusYFunc;

	/**
	 * TODO
	 *
	 * @param input
	 * @param numGreyLevels
	 * @param distance
	 * @param orientation
	 * @return the output
	 */
	@Override
	public DoubleType apply(final RandomAccessibleInterval input,
		final Integer numGreyLevels, final Integer distance,
		final MatrixOrientation orientation)
	{
		final double[][] matrix = getCooccurrenceMatrix(input, numGreyLevels,
			distance, orientation);

		final double[] pxminusy = coocPXMinusYFunc.apply(matrix);
		final int nrGrayLevels = matrix.length;

		double res = 0;
		for (int k = 0; k < nrGrayLevels; k++) {
			res += pxminusy[k] * Math.log(pxminusy[k] + EPSILON);
		}

		DoubleType output = new DoubleType();
		output.set(-res);
		return output;

	}

}