/* * #%L * ImageJ software for multidimensional image processing and analysis. * %% * Copyright (C) 2014 - 2020 ImageJ developers. * %% * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * 1. Redistributions of source code must retain the above copyright notice, * this list of conditions and the following disclaimer. * 2. Redistributions in binary form must reproduce the above copyright notice, * this list of conditions and the following disclaimer in the documentation * and/or other materials provided with the distribution. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS BE * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE * POSSIBILITY OF SUCH DAMAGE. * #L% */ package net.imagej.ops.convert.normalizeScale; import net.imagej.ops.Ops; import net.imagej.ops.convert.scale.ScaleRealTypes; import net.imagej.ops.special.function.Functions; import net.imagej.ops.special.function.UnaryFunctionOp; import net.imglib2.IterableInterval; import net.imglib2.type.numeric.RealType; import net.imglib2.util.Pair; import org.scijava.plugin.Plugin; /** * Scales input values to their corresponding value in the output type range * based on the min/max values of an {@link IterableInterval} not the range of * the input type. * * @author Martin Horn (University of Konstanz) */ @Plugin(type = Ops.Convert.NormalizeScale.class) public class NormalizeScaleRealTypes<I extends RealType<I>, O extends RealType<O>> extends ScaleRealTypes<I, O> implements Ops.Convert.NormalizeScale { private UnaryFunctionOp<IterableInterval<I>, Pair<I, I>> minMaxFunc; protected double outMax; @SuppressWarnings({ "unchecked", "rawtypes" }) @Override public void initialize() { minMaxFunc = (UnaryFunctionOp) Functions.unary(ops(), Ops.Stats.MinMax.class, Pair.class, IterableInterval.class); } @Override public void checkInput(final I inType, final O outType) { outMin = outType.getMinValue(); outMax = outType.getMaxValue(); } @Override public void checkInput(final IterableInterval<I> in) { final Pair<I, I> minMax = minMaxFunc.calculate(in); factor = (minMax.getB().getRealDouble() - minMax.getA() .getRealDouble()) / (outMax - outMin); inMin = minMax.getA().getRealDouble(); } }