org.openimaj.image.feature.global.HorizontalIntensityDistribution Maven / Gradle / Ivy

Go to download

Show more of this group Show more artifacts with this name
Show all versions of image-feature-extraction Show documentation

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

There is a newer version: 1.3.10

Show newest version

/**
 * 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.feature.DoubleFV;
import org.openimaj.feature.FeatureVectorProvider;
import org.openimaj.image.FImage;
import org.openimaj.image.analyser.ImageAnalyser;

/**
 * Produce a feature vector that describes the average intensity
 * distribution across the from left to right. 
 * 
 * @author Jonathon Hare ([email protected])
 *
 */
public class HorizontalIntensityDistribution implements ImageAnalyser, FeatureVectorProvider {
	DoubleFV fv;
	int nbins = 10;
	
	/**
	 * Construct the {@link HorizontalIntensityDistribution} feature
	 * extractor using the default of 10 equally spaced bins.
	 */
	public HorizontalIntensityDistribution() {
	}
	
	/**
	 * Construct the {@link HorizontalIntensityDistribution} feature
	 * extractor using the given number of equally spaced bins.
	 * @param nbins number of bins to split the image into
	 */
	public HorizontalIntensityDistribution(int nbins) {
		this.nbins = nbins;
	}
	
	@Override
	public DoubleFV getFeatureVector() {
		return fv;
	}

	/* (non-Javadoc)
	 * @see org.openimaj.image.analyser.ImageAnalyser#analyseImage(org.openimaj.image.Image)
	 */
	@Override
	public void analyseImage(FImage image) {
		fv = new DoubleFV(nbins);
		int [] counts = new int [nbins]; 
		
		float stripWidth = (float)image.width / (float)nbins;
		for (int y=0; y