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/*
 * #%L
 * Image processing operations for SciJava Ops.
 * %%
 * Copyright (C) 2014 - 2024 SciJava developers.
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package org.scijava.ops.image.features.haralick;

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;

/**
 * Implementation of Entropy Haralick Feature Definition: -( sum_{i=1}^q
 * sum_{j=1}^q c(i,j) log(c(i,j)) )
 *
 * @author Andreas Graumann (University of Konstanz)
 * @author Christian Dietz (University of Konstanz)
 * @author Tim-Oliver Buchholz (University of Konstanz)
 * @implNote op names='features.haralick.entropy'
 */
public class DefaultEntropy> extends
	AbstractHaralickFeature
{

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

	/**
	 * 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);
		double res = 0;

		final int nrGrayLevels = matrix.length;

		for (int i = 0; i < nrGrayLevels; i++) {
			for (int j = 0; j < nrGrayLevels; j++) {
				res += matrix[i][j] * Math.log(matrix[i][j] + EPSILON);
			}
		}

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




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