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Methods for the extraction of low-level image features, including global image features and pixel/patch classification models.
/**
* 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
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* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
package org.openimaj.image.pixel.statistics;
import org.openimaj.image.FImage;
import org.openimaj.image.MBFImage;
/**
* A multidimensional histogram calculated from image pixels selected through a mask
* (assumes image is in 0-1 range)
*
* @author Jonathon Hare
*
*/
public class MaskingHistogramModel extends HistogramModel {
private static final long serialVersionUID = 1L;
private FImage mask;
/**
* Construct with the given parameters
* @param mask the mask image
* @param nbins the number of bins in each dimension for the histograms
*/
public MaskingHistogramModel(FImage mask, int... nbins) {
super(nbins);
this.mask = mask;
}
@Override
protected void accum(MBFImage im) {
if (im.numBands() != ndims)
throw new AssertionError("number of bands must match");
for (int y=0; y= histogram.nbins[i]) bins[i] = histogram.nbins[i] - 1;
}
int bin = 0;
for (int i=0; i
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