
org.scijava.ops.image.threshold.ApplyThresholdMethodLocal Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of scijava-ops-image Show documentation
Show all versions of scijava-ops-image Show documentation
Image processing operations for SciJava Ops.
The newest version!
/*
* #%L
* Image processing operations for SciJava Ops.
* %%
* Copyright (C) 2014 - 2024 SciJava 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 org.scijava.ops.image.threshold;
import java.util.function.Function;
import net.imglib2.RandomAccessibleInterval;
import net.imglib2.algorithm.neighborhood.Shape;
import net.imglib2.histogram.Histogram1d;
import net.imglib2.outofbounds.OutOfBoundsBorderFactory;
import net.imglib2.outofbounds.OutOfBoundsFactory;
import net.imglib2.type.logic.BitType;
import net.imglib2.type.numeric.RealType;
import org.scijava.function.Computers;
import org.scijava.ops.spi.Nullable;
import org.scijava.ops.spi.OpDependency;
/**
* Ops which compute and apply a local threshold to an image.
*
* @author Stefan Helfrich (University of Konstanz)
*/
public final class ApplyThresholdMethodLocal {
private ApplyThresholdMethodLocal() {
// NB: Prevent instantiation of utility class.
}
/**
* @implNote op names='threshold.huang'
*/
public static class LocalHuang> extends
AbstractApplyLocalHistogramBasedThreshold
{
@OpDependency(name = "threshold.huang")
private Computers.Arity1, T> computeThresholdOp;
@Override
protected Computers.Arity1, T> getComputeThresholdOp() {
return computeThresholdOp;
}
}
/**
* @implNote op names='threshold.ij1'
*/
public static class LocalIJ1> extends
AbstractApplyLocalHistogramBasedThreshold
{
@OpDependency(name = "threshold.ij1")
private Computers.Arity1, T> computeThresholdOp;
@Override
protected Computers.Arity1, T> getComputeThresholdOp() {
return computeThresholdOp;
}
}
/**
* @implNote op names='threshold.intermodes'
*/
public static class LocalIntermodes> extends
AbstractApplyLocalHistogramBasedThreshold
{
@OpDependency(name = "threshold.intermodes")
private Computers.Arity1, T> computeThresholdOp;
@Override
protected Computers.Arity1, T> getComputeThresholdOp() {
return computeThresholdOp;
}
}
/**
* @implNote op names='threshold.isoData'
*/
public static class LocalIsoData> extends
AbstractApplyLocalHistogramBasedThreshold
{
@OpDependency(name = "threshold.isoData")
private Computers.Arity1, T> computeThresholdOp;
@Override
protected Computers.Arity1, T> getComputeThresholdOp() {
return computeThresholdOp;
}
}
/**
* @implNote op names='threshold.li'
*/
public static class LocalLi> extends
AbstractApplyLocalHistogramBasedThreshold
{
@OpDependency(name = "threshold.li")
private Computers.Arity1, T> computeThresholdOp;
@Override
protected Computers.Arity1, T> getComputeThresholdOp() {
return computeThresholdOp;
}
}
/**
* @implNote op names='threshold.maxEntropy'
*/
public static class LocalMaxEntropy> extends
AbstractApplyLocalHistogramBasedThreshold
{
@OpDependency(name = "threshold.maxEntropy")
private Computers.Arity1, T> computeThresholdOp;
@Override
protected Computers.Arity1, T> getComputeThresholdOp() {
return computeThresholdOp;
}
}
/**
* @implNote op names='threshold.maxLikelihood'
*/
public static class LocalMaxLikelihood> extends
AbstractApplyLocalHistogramBasedThreshold
{
@OpDependency(name = "threshold.maxLikelihood")
private Computers.Arity1, T> computeThresholdOp;
@Override
protected Computers.Arity1, T> getComputeThresholdOp() {
return computeThresholdOp;
}
}
/**
* @implNote op names='threshold.mean'
*/
public static class LocalHistogramBasedMean> extends
AbstractApplyLocalHistogramBasedThreshold
{
@OpDependency(name = "threshold.mean")
private Computers.Arity1, T> computeThresholdOp;
@Override
protected Computers.Arity1, T> getComputeThresholdOp() {
return computeThresholdOp;
}
}
/**
* @implNote op names='threshold.minError'
*/
public static class LocalMinError> extends
AbstractApplyLocalHistogramBasedThreshold
{
@OpDependency(name = "threshold.minError")
private Computers.Arity1, T> computeThresholdOp;
@Override
protected Computers.Arity1, T> getComputeThresholdOp() {
return computeThresholdOp;
}
}
/**
* @implNote op names='threshold.minimum'
*/
public static class LocalMinimum> extends
AbstractApplyLocalHistogramBasedThreshold
{
@OpDependency(name = "threshold.minimum")
private Computers.Arity1, T> computeThresholdOp;
@Override
protected Computers.Arity1, T> getComputeThresholdOp() {
return computeThresholdOp;
}
}
/**
* @implNote op names='threshold.moments'
*/
public static class LocalMoments> extends
AbstractApplyLocalHistogramBasedThreshold
{
@OpDependency(name = "threshold.moments")
private Computers.Arity1, T> computeThresholdOp;
@Override
protected Computers.Arity1, T> getComputeThresholdOp() {
return computeThresholdOp;
}
}
/**
* @implNote op names='threshold.otsu'
*/
public static class LocalOtsu> extends
AbstractApplyLocalHistogramBasedThreshold
{
@OpDependency(name = "threshold.otsu")
private Computers.Arity1, T> computeThresholdOp;
@Override
protected Computers.Arity1, T> getComputeThresholdOp() {
return computeThresholdOp;
}
}
/**
* @implNote op names='threshold.percentile'
*/
public static class LocalPercentile> extends
AbstractApplyLocalHistogramBasedThreshold
{
@OpDependency(name = "threshold.percentile")
private Computers.Arity1, T> computeThresholdOp;
@Override
protected Computers.Arity1, T> getComputeThresholdOp() {
return computeThresholdOp;
}
}
/**
* @implNote op names='threshold.renyiEntropy'
*/
public static class LocalRenyiEntropy> extends
AbstractApplyLocalHistogramBasedThreshold
{
@OpDependency(name = "threshold.renyiEntropy")
private Computers.Arity1, T> computeThresholdOp;
@Override
protected Computers.Arity1, T> getComputeThresholdOp() {
return computeThresholdOp;
}
}
/**
* @implNote op names='threshold.rosin'
*/
public static class LocalRosin> extends
AbstractApplyLocalHistogramBasedThreshold
{
@OpDependency(name = "threshold.rosin")
private Computers.Arity1, T> computeThresholdOp;
@Override
protected Computers.Arity1, T> getComputeThresholdOp() {
return computeThresholdOp;
}
}
/**
* @implNote op names='threshold.shanbhag'
*/
public static class LocalShanbhag> extends
AbstractApplyLocalHistogramBasedThreshold
{
@OpDependency(name = "threshold.shanbhag")
private Computers.Arity1, T> computeThresholdOp;
@Override
protected Computers.Arity1, T> getComputeThresholdOp() {
return computeThresholdOp;
}
}
/**
* @implNote op names='threshold.triangle'
*/
public static class LocalTriangle> extends
AbstractApplyLocalHistogramBasedThreshold
{
@OpDependency(name = "threshold.triangle")
private Computers.Arity1, T> computeThresholdOp;
@Override
protected Computers.Arity1, T> getComputeThresholdOp() {
return computeThresholdOp;
}
}
/**
* @implNote op names='threshold.yen'
*/
public static class LocalYen> extends
AbstractApplyLocalHistogramBasedThreshold
{
@OpDependency(name = "threshold.yen")
private Computers.Arity1, T> computeThresholdOp;
@Override
protected Computers.Arity1, T> getComputeThresholdOp() {
return computeThresholdOp;
}
}
private abstract static class AbstractApplyLocalHistogramBasedThreshold>
implements
Computers.Arity3, Shape, OutOfBoundsFactory>, //
RandomAccessibleInterval> {
@OpDependency(name = "image.histogram")
private Function, Histogram1d> createHistogramOp;
// TODO: Would be cool if Computers.Arity2 would be matched.
@OpDependency(name = "threshold.apply")
private Computers.Arity2, T, BitType> applyThresholdOp;
@OpDependency(name = "filter.applyCenterAware")
private Computers.Arity4, Computers.Arity2, T, BitType>, Shape, OutOfBoundsFactory>, RandomAccessibleInterval> applyFilterOp;
private Computers.Arity2, T, BitType> thresholdOp;
/**
* TODO
*
* @param input
* @param inputNeighborhoodShape
* @param outOfBoundsFactory
* @param output
*/
@Override
public void compute(final RandomAccessibleInterval input,
final Shape inputNeighborhoodShape,
@Nullable OutOfBoundsFactory> outOfBoundsFactory,
final RandomAccessibleInterval output)
{
if (outOfBoundsFactory == null) outOfBoundsFactory =
new OutOfBoundsBorderFactory<>();
if (thresholdOp == null) thresholdOp = getThresholdOp();
applyFilterOp.compute(input, thresholdOp, inputNeighborhoodShape,
outOfBoundsFactory, output);
}
private Computers.Arity2, T, BitType> getThresholdOp() {
final Computers.Arity1, T> computeThresholdOp =
getComputeThresholdOp();
return new Computers.Arity2, T, BitType>() {
@Override
public void compute(final Iterable inputNeighborhood,
final T inputCenterPixel, final BitType output)
{
final Histogram1d histogram = createHistogramOp.apply(
inputNeighborhood);
final T threshold = inputNeighborhood.iterator().next()
.createVariable();
computeThresholdOp.compute(histogram, threshold);
applyThresholdOp.compute(inputCenterPixel, threshold, output);
}
};
}
protected abstract Computers.Arity1, T>
getComputeThresholdOp();
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy