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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 Variance Haralick Feature
 *
 * @author Andreas Graumann (University of Konstanz)
 * @author Christian Dietz (University of Konstanz)
 * @author Tim-Oliver Buchholz (University of Konstanz) Formula based on:
 *         http://haralick.org/journals/TexturalFeatures.pdf
 * @implNote op names='features.haralick.differenceVariance'
 */
public class DefaultDifferenceVariance> extends
	AbstractHaralickFeature
{

	@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);

		double mu = 0.0;

		for (int i = 0; i < numGreyLevels; i++) {
			mu += i * pxminusy[i];
		}

		double sum = 0.0d;
		for (int k = 0; k < numGreyLevels; k++) {
			sum += Math.pow(k - mu, 2) * pxminusy[k];
		}

		DoubleType output = new DoubleType();
		output.set(sum);
		return output;
	}

}