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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
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package org.openimaj.image.analysis.algorithm;

import org.openimaj.image.FImage;
import org.openimaj.image.analyser.ImageAnalyser;
import org.openimaj.math.geometry.shape.Rectangle;

/**
 * Implementation of an Integral Image or Summed Area Table. This Implementation
 * calculates both the sum and squared sum values.
 * 

* See http://en.wikipedia.org/wiki/Summed_area_table and * http://research.microsoft * .com/en-us/um/people/viola/Pubs/Detect/violaJones_IJCV.pdf *

* Basically, this provides an efficient way to find the sum of all pixels in a * rectangular area of an image. * * @author Jonathon Hare ([email protected]) */ public class SummedSqAreaTable implements ImageAnalyser { /** * The sum data */ public FImage sum; /** * The squared sum data */ public FImage sqSum; /** * Construct an empty SAT */ public SummedSqAreaTable() { } /** * Construct a SAT from the provided image * * @param image * the image */ public SummedSqAreaTable(FImage image) { computeTable(image); } protected void computeTable(FImage image) { sum = new FImage(image.getWidth() + 1, image.getHeight() + 1); sqSum = new FImage(image.getWidth() + 1, image.getHeight() + 1); for (int y = 0; y < image.height; y++) { for (int x = 0; x < image.width; x++) { final float p = image.pixels[y][x]; sum.pixels[y + 1][x + 1] = p + sum.pixels[y + 1][x] + sum.pixels[y][x + 1] - sum.pixels[y][x]; sqSum.pixels[y + 1][x + 1] = p * p + sqSum.pixels[y + 1][x] + sqSum.pixels[y][x + 1] - sqSum.pixels[y][x]; } } } /** * Calculate the sum of pixels in the image used for constructing this SAT * within the rectangle defined by (x1,y1) [top-left coordinate] and (x2,y2) * [bottom- right coordinate] * * @param x1 * x1 * @param y1 * y1 * @param x2 * x2 * @param y2 * y2 * @return sum of pixels in given rectangle */ public float calculateSumArea(int x1, int y1, int x2, int y2) { final float A = sum.pixels[y1][x1]; final float B = sum.pixels[y1][x2]; final float C = sum.pixels[y2][x2]; final float D = sum.pixels[y2][x1]; return A + C - B - D; } /** * Calculate the sum of pixels in the image used for constructing this SAT * within the given rectangle * * @param r * rectangle * @return sum of pixels in given rectangle */ public float calculateSumArea(Rectangle r) { return calculateSumArea(Math.round(r.x), Math.round(r.y), Math.round(r.x + r.width), Math.round(r.y + r.height)); } /** * Calculate the sum of squared pixels in the image used for constructing * this SAT within the rectangle defined by (x1,y1) [top-left coordinate] * and (x2,y2) [bottom- right coordinate] * * @param x1 * x1 * @param y1 * y1 * @param x2 * x2 * @param y2 * y2 * @return sum of pixels in given rectangle */ public float calculateSqSumArea(int x1, int y1, int x2, int y2) { final float A = sqSum.pixels[y1][x1]; final float B = sqSum.pixels[y1][x2]; final float C = sqSum.pixels[y2][x2]; final float D = sqSum.pixels[y2][x1]; return A + C - B - D; } /** * Calculate the sum of squared pixels in the image used for constructing * this SAT within the given rectangle * * @param r * rectangle * @return sum of pixels in given rectangle */ public float calculateSqSumArea(Rectangle r) { return calculateSqSumArea(Math.round(r.x), Math.round(r.y), Math.round(r.x + r.width), Math.round(r.y + r.height)); } /* * (non-Javadoc) * * @see * org.openimaj.image.analyser.ImageAnalyser#analyseImage(org.openimaj.image * .Image) */ @Override public void analyseImage(FImage image) { computeTable(image); } }





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