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Methods for the extraction of low-level image features, including global image features and pixel/patch classification models.

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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 Weber contrast feature.
 * 

* See the referenced paper for a description. * * @author Jonathon Hare ([email protected]) */ @Reference( type = ReferenceType.Inproceedings, author = { "Che-Hua Yeh", "Yuan-Chen Ho", "Brian A. Barsky", "Ming Ouhyoung" }, title = "Personalized Photograph Ranking and Selection System", year = "2010", booktitle = "Proceedings of ACM Multimedia", pages = { "211", "220" }, month = "October", customData = { "location", "Florence, Italy" }) public class WeberContrast 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++) contrast += (image.pixels[y][x] - avg) / avg; contrast /= (height * width); } /** * Get the contrast of the last image analysed with * {@link #analyseImage(FImage)} * * @return the contrast */ public double getContrast() { return contrast; } }





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