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A multidimensional, type-agnostic image processing library.
/*
* #%L
* ImgLib2: a general-purpose, multidimensional image processing library.
* %%
* Copyright (C) 2009 - 2018 Tobias Pietzsch, Stephan Preibisch, Stephan Saalfeld,
* John Bogovic, Albert Cardona, Barry DeZonia, Christian Dietz, Jan Funke,
* Aivar Grislis, Jonathan Hale, Grant Harris, Stefan Helfrich, Mark Hiner,
* Martin Horn, Steffen Jaensch, Lee Kamentsky, Larry Lindsey, Melissa Linkert,
* Mark Longair, Brian Northan, Nick Perry, Curtis Rueden, Johannes Schindelin,
* Jean-Yves Tinevez and Michael Zinsmaier.
* %%
* 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.imglib2.iterator;
import net.imglib2.Interval;
import net.imglib2.Positionable;
import net.imglib2.Sampler;
import net.imglib2.util.IntervalIndexer;
/**
* Use this class to iterate a virtual rectangular {@link Interval} whose
* min coordinates are at 0n in flat order, that
* is: row by row, plane by plane, cube by cube, ... This is useful for
* iterating an arbitrary interval in a defined order. For that, connect a
* {@link LocalizingZeroMinIntervalIterator} to a {@link Positionable}.
*
*
* {@code
* ...
* LocalizingZeroMinIntervalIterator i = new LocalizingZeroMinIntervalIterator(image);
* RandomAccess s = image.randomAccess();
* while (i.hasNext()) {
* i.fwd();
* s.setPosition(i);
* s.type().performOperation(...);
* ...
* }
* ...
* }
*
*
* Note that {@link LocalizingZeroMinIntervalIterator} is the right choice in
* situations where, for each pixel, you want to localize and/or set
* the {@link Positionable} [{@link Sampler}], that is in a dense sampling
* situation. For localizing sparsely (e.g. under an external condition), use
* {@link ZeroMinIntervalIterator} instead.
*
* @author Stephan Preibisch
* @author Stephan Saalfeld
*/
public class LocalizingZeroMinIntervalIterator extends LocalizingIntervalIterator
{
public LocalizingZeroMinIntervalIterator( final long[] dimensions )
{
super( dimensions );
}
public LocalizingZeroMinIntervalIterator( final int[] dimensions )
{
super( dimensions );
}
public LocalizingZeroMinIntervalIterator( final Interval interval )
{
super( interval );
}
/* Iterator */
@Override
public void fwd()
{
++index;
for ( int d = 0; d < n; ++d )
{
if ( ++position[ d ] > max[ d ] )
position[ d ] = 0;
else
break;
}
}
@Override
public void jumpFwd( final long i )
{
index += i;
IntervalIndexer.indexToPosition( index, dimensions, position );
}
@Override
public void reset()
{
index = -1;
position[ 0 ] = -1;
for ( int d = 1; d < n; ++d )
position[ d ] = 0;
}
}