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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.threshold.localMidGrey;

import java.util.function.Function;

import net.imglib2.type.logic.BitType;
import net.imglib2.type.numeric.RealType;
import net.imglib2.util.Pair;

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

/**
 * Local threshold method which thresholds against the average of the maximum
 * and minimum pixels of a neighborhood.
 *
 * @author Jonathan Hale
 * @author Stefan Helfrich (University of Konstanz)
 * @implNote op names='threshold.localMidGrey', priority='-100.'
 */
public class ComputeLocalMidGreyThreshold> implements
	Computers.Arity3, T, Double, BitType>
{

	@OpDependency(name = "stats.minMax")
	private Function, Pair> minMaxOp;

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

	public static > void compute(
		final Iterable inputNeighborhood, final T inputCenterPixel,
		final Double c, final Function, Pair> minMaxOp,
		final BitType output)
	{
		final Pair outputs = minMaxOp.apply(inputNeighborhood);

		final double minValue = outputs.getA().getRealDouble();
		final double maxValue = outputs.getB().getRealDouble();

		output.set(inputCenterPixel.getRealDouble() > ((maxValue + minValue) /
			2.0) - c);
	}

}




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