org.openimaj.image.feature.global.RMSContrast Maven / Gradle / Ivy
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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.feature.global;
import org.openimaj.citation.annotation.Reference;
import org.openimaj.citation.annotation.ReferenceType;
import org.openimaj.feature.DoubleFV;
import org.openimaj.feature.FeatureVectorProvider;
import org.openimaj.image.FImage;
import org.openimaj.image.analyser.ImageAnalyser;
/**
* Implementation of the RMS contrast feature.
*
* See the referenced paper for a description.
*
* @author Jonathon Hare ([email protected])
*/
@Reference(
type = ReferenceType.Inproceedings,
author = { "Jose San Pedro", "Stefan Siersdorfer" },
title = "Ranking and Classifying Attractiveness of Photos in Folksonomies",
year = "2009",
booktitle = "18th International World Wide Web Conference",
pages = { "771", "", "771" },
url = "http://www2009.eprints.org/78/",
month = "April")
public class RMSContrast implements ImageAnalyser, FeatureVectorProvider {
double contrast;
@Override
public DoubleFV getFeatureVector() {
return new DoubleFV(new double[] { contrast });
}
/*
* (non-Javadoc)
*
* @see
* org.openimaj.image.processor.ImageProcessor#processImage(org.openimaj
* .image.Image)
*/
@Override
public void analyseImage(FImage image) {
final int width = image.width;
final int height = image.height;
double avg = 0;
for (int y = 0; y < height; y++)
for (int x = 0; x < width; x++)
avg += image.pixels[y][x];
avg /= (width * height);
contrast = 0;
for (int y = 0; y < height; y++) {
for (int x = 0; x < width; x++) {
final double delta = image.pixels[y][x] - avg;
contrast += delta * delta;
}
}
contrast /= ((height * width) - 1);
}
/**
* Get the contrast of the last image analysed with
* {@link #analyseImage(FImage)}
*
* @return the contrast
*/
public double getContrast() {
return contrast;
}
}