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/**
* Copyright (c) 2011, The University of Southampton and the individual contributors.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * 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.
*
* * Neither the name of the University of Southampton nor the names of its
* contributors may be used to endorse or promote products derived from this
* software without specific prior written permission.
*
* 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 OWNER 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.
*/
package org.openimaj.image.analysis.pyramid.gaussian;
import org.openimaj.image.FImage;
import org.openimaj.image.Image;
import org.openimaj.image.analysis.pyramid.PyramidOptions;
import org.openimaj.image.processing.convolution.FGaussianConvolve;
import org.openimaj.image.processor.SinglebandImageProcessor;
/**
* Options for constructing a Gaussian pyramid in the style of Lowe's SIFT
* paper.
*
* @author Jonathon Hare ([email protected])
*
* @param
* type of underlying image.
*/
public class GaussianPyramidOptions & SinglebandImageProcessor.Processable>
extends
PyramidOptions, IMAGE>
{
/**
* Number of pixels of border for processors to ignore. Also used in
* calculating the minimum image size for the last octave.
*/
protected int borderPixels = 5;
/**
* Should the starting image of the pyramid be stretched to twice its size?
*/
protected boolean doubleInitialImage = true;
/**
* The number of extra scale steps taken beyond scales.
*/
protected int extraScaleSteps = 2; // number of extra steps to take beyond
// doubling sigma
/**
* Assumed initial scale of the first image in each octave. For SIFT, Lowe
* suggested 1.6 (for optimal repeatability; see Lowe's IJCV paper, P.10).
*/
protected float initialSigma = 1.6f;
/**
* The number of scales in this octave minus extraScaleSteps. Levels are
* constructed so that level[scales] has twice the sigma of level[0].
*/
protected int scales = 3;
/**
* Default constructor.
*/
public GaussianPyramidOptions() {
}
/**
* Construct the pyramid options by copying the non-processor options from
* the given options object.
*
* @param options
* options to copy from
*/
public GaussianPyramidOptions(GaussianPyramidOptions options) {
this.borderPixels = options.borderPixels;
this.doubleInitialImage = options.doubleInitialImage;
this.extraScaleSteps = options.extraScaleSteps;
this.initialSigma = options.initialSigma;
this.keepOctaves = options.keepOctaves;
this.scales = options.scales;
}
/**
* Get the number of pixels used for a border that processors shouldn't
* touch.
*
* @return number of border pixels.
*/
public int getBorderPixels() {
return borderPixels;
}
/**
* Get the number of extra scale steps taken beyond scales.
*
* @see #getScales()
*
* @return the extraScaleSteps
*/
public int getExtraScaleSteps() {
return extraScaleSteps;
}
/**
* Get the assumed initial scale of the first image in each octave.
*
* @return the initialSigma
*/
public float getInitialSigma() {
return initialSigma;
}
/**
* Get the number of scales in this octave minus extraScaleSteps. Levels of
* each octave are constructed so that level[scales] has twice the sigma of
* level[0].
*
* @return the scales
*/
public int getScales() {
return scales;
}
/**
* Should the starting image of the pyramid be stretched to twice its size?
*
* @return the doubleInitialImage
*/
public boolean isDoubleInitialImage() {
return doubleInitialImage;
}
/**
* Set the number of pixels used for a border that processors shouldn't
* touch. Also affects the minimum image size for the last octave, which
* must be at least 2 + 2*borderPixels.
*
* @param borderPixels
* number of pixels to leave as border
*/
public void setBorderPixels(int borderPixels) {
if (borderPixels < 2)
throw new IllegalArgumentException("BorderDistance must be >= 2");
this.borderPixels = borderPixels;
}
/**
* Set whether starting image of the pyramid be stretched to twice its size?
*
* @param doubleInitialImage
* the doubleInitialImage to set
*/
public void setDoubleInitialImage(boolean doubleInitialImage) {
this.doubleInitialImage = doubleInitialImage;
}
/**
* Set the number of extra scale steps taken beyond scales.
*
* @see #setScales(int)
*
* @param extraScaleSteps
* the extraScaleSteps to set
*/
public void setExtraScaleSteps(int extraScaleSteps) {
this.extraScaleSteps = extraScaleSteps;
}
/**
* Set the assumed initial scale of the first image in each octave. For
* SIFT, Lowe suggested 1.6 (for optimal repeatability; see Lowe's IJCV
* paper, P.10).
*
* @param initialSigma
* the initialSigma to set
*/
public void setInitialSigma(float initialSigma) {
this.initialSigma = initialSigma;
}
/**
* Set the number of scales in this octave minus extraScaleSteps. Levels of
* each octave are constructed so that level[scales] has twice the sigma of
* level[0].
*
* @param scales
* the scales to set
*/
public void setScales(int scales) {
this.scales = scales;
}
/**
* Create a {@link SinglebandImageProcessor} that performs a Gaussian
* blurring with a standard deviation given by sigma. This method is used by
* the {@link GaussianOctave} and {@link GaussianPyramid} to create filters
* for performing the blurring. By overriding in subclasses, you can control
* the exact filter implementation (i.e. for speed).
*
* @param sigma
* the gaussian standard deviation
* @return the image processor to apply the blur
*/
public SinglebandImageProcessor createGaussianBlur(float sigma) {
return new FGaussianConvolve(sigma);
}
}
