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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.display.projector;
import net.imglib2.FinalInterval;
import net.imglib2.FlatIterationOrder;
import net.imglib2.IterableInterval;
import net.imglib2.RandomAccess;
import net.imglib2.RandomAccessible;
import net.imglib2.RandomAccessibleInterval;
import net.imglib2.converter.Converter;
/**
* A general 2D Projector that uses two dimensions as input to create the 2D
* result. The output of the projection is written into a
* {@link RandomAccessibleInterval}.
*
* Starting from the reference point two dimensions are sampled such that a
* plain gets cut out of a higher dimensional data volume.
* The mapping function can be specified with a {@link Converter}.
* A basic example is cutting out a time frame from a (greyscale) video
*
* Note: This {@link Projector} should only be used if one can be sure, that the
* target {@link RandomAccessibleInterval} is not an {@link IterableInterval} of
* {@link FlatIterationOrder}. If, please use
* {@link IterableIntervalProjector2D} for performance reasons.
*
* @author Michael Zinsmaier
* @author Martin Horn
* @author Christian Dietz
*
* @param
* @param
*/
public class RandomAccessibleProjector2D< A, B > extends AbstractProjector2D
{
final protected Converter< ? super A, B > converter;
final protected RandomAccessibleInterval< B > target;
final protected RandomAccessible< A > source;
final int numDimensions;
private final int dimX;
private final int dimY;
protected final int X = 0;
protected final int Y = 1;
/**
* creates a new 2D projector that samples a plain in the dimensions dimX,
* dimY.
*
* @param dimX
* @param dimY
* @param source
* @param target
* @param converter
* a converter that is applied to each point in the plain. This
* can e.g. be used for normalization, conversions, ...
*/
public RandomAccessibleProjector2D( final int dimX, final int dimY, final RandomAccessible< A > source, final RandomAccessibleInterval< B > target, final Converter< ? super A, B > converter )
{
super( source.numDimensions() );
this.dimX = dimX;
this.dimY = dimY;
this.target = target;
this.source = source;
this.converter = converter;
this.numDimensions = source.numDimensions();
}
/**
* projects data from the source to the target and applies the former
* specified {@link Converter} e.g. for normalization.
*/
@Override
public void map()
{
for ( int d = 2; d < position.length; ++d )
min[ d ] = max[ d ] = position[ d ];
min[ dimX ] = target.min( dimX );
min[ dimY ] = target.min( dimY );
max[ dimX ] = target.max( dimX );
max[ dimY ] = target.max( dimY );
final FinalInterval sourceInterval = new FinalInterval( min, max );
final long cr = -target.dimension( dimX );
final RandomAccess< B > targetRandomAccess = target.randomAccess( target );
final RandomAccess< A > sourceRandomAccess = source.randomAccess( sourceInterval );
final long width = target.dimension( dimX );
final long height = target.dimension( dimY );
sourceRandomAccess.setPosition( min );
targetRandomAccess.setPosition( min[ dimX ], dimX );
targetRandomAccess.setPosition( min[ dimY ], dimY );
for ( long y = 0; y < height; ++y )
{
for ( long x = 0; x < width; ++x )
{
converter.convert( sourceRandomAccess.get(), targetRandomAccess.get() );
sourceRandomAccess.fwd( dimX );
targetRandomAccess.fwd( dimX );
}
sourceRandomAccess.move( cr, dimX );
targetRandomAccess.move( cr, dimX );
sourceRandomAccess.fwd( dimY );
targetRandomAccess.fwd( dimY );
}
}
}