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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 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.function.Functions;
import org.scijava.ops.spi.OpDependency;

/**
 * Implementation of Information Measure of Correlation 2 Haralick Feature
 *
 * @author Andreas Graumann (University of Konstanz)
 * @author Christian Dietz (University of Konstanz)
 * @implNote op names='features.haralick.icm2'
 */
public class DefaultICM2> extends
	AbstractHaralickFeature
{

	@OpDependency(name = "features.haralick.coocHXY")
	private Function coocHXYFunc;
	@OpDependency(name = "features.haralick.entropy")
	private Functions.Arity4, Integer, Integer, MatrixOrientation, DoubleType> entropy;

	/**
	 * 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 double[] coochxy = coocHXYFunc.apply(matrix);
		res = Math.sqrt(1 - Math.exp(-2 * (coochxy[3] - entropy.apply(input,
			numGreyLevels, distance, orientation).get())));

		DoubleType output = new DoubleType();
		// if NaN
		if (Double.isNaN(res)) {
			output.set(0);
		}
		else {
			output.set(res);
		}
		return output;
	}
}