/*
 * #%L
 * Image processing operations for SciJava Ops.
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package org.scijava.ops.image.threshold.localMean;

import net.imglib2.type.logic.BitType;
import net.imglib2.type.numeric.RealType;
import net.imglib2.type.numeric.real.DoubleType;

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

/**
 * Local threshold method that uses the mean and operates directly of RAIs.
 *
 * @author Jonathan Hale (University of Konstanz)
 * @author Martin Horn (University of Konstanz)
 * @author Stefan Helfrich (University of Konstanz)
 * @implNote op names='threshold.localMean', priority='-100.'
 */
public class ComputeLocalMeanThreshold<T extends RealType<T>> implements
	Computers.Arity3<Iterable<T>, T, Double, BitType>
{

	@OpDependency(name = "stats.mean")
	private Computers.Arity1<Iterable<T>, DoubleType> meanOp;

	/**
	 * TODO
	 *
	 * @param inputNeighborhood
	 * @param inputCenterPixel
	 * @param c
	 * @param output
	 */
	@Override
	public void compute(final Iterable<T> inputNeighborhood,
		final T inputCenterPixel, final Double c, final BitType output)
	{
		compute(inputNeighborhood, inputCenterPixel, c, meanOp, output);
	}

	public static <T extends RealType<T>> void compute(
		final Iterable<T> inputNeighborhood, final T inputCenterPixel,
		final Double c, final Computers.Arity1<Iterable<T>, DoubleType> meanOp,
		final BitType output)
	{
		final var m = new DoubleType();

		meanOp.compute(inputNeighborhood, m);
		output.set(inputCenterPixel.getRealDouble() > m.getRealDouble() - c);
	}

}
