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/*
 * Gray8HistEq.java
 *
 * Created on September 9, 2006, 2:05 PM
 *
 * To change this template, choose Tools | Template Manager
 * and open the template in the editor.
 *
 * Copyright 2007 by Jon A. Webb
 *     This program is free software: you can redistribute it and/or modify
 *    it under the terms of the GNU Lesser General Public License as published by
 *    the Free Software Foundation, either version 3 of the License, or
 *    (at your option) any later version.
 *
 *    This program is distributed in the hope that it will be useful,
 *    but WITHOUT ANY WARRANTY; without even the implied warranty of
 *    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *    GNU Lesser General Public License for more details.
 *
 *    You should have received a copy of the Lesser GNU General Public License
 *    along with this program.  If not, see .
 *
 */

package com.github.ojil.algorithm;

import com.github.ojil.core.Gray8Image;
import com.github.ojil.core.Image;
import com.github.ojil.core.ImageError;
import com.github.ojil.core.PipelineStage;

/**
 * Equalize the histogram of a gray image.
 * 

* * @author webb */ public class Gray8HistEq extends PipelineStage { private int cPixels = 0; private final Gray8HistMatch histMatch; /** * Creates a new instance of Gray8HistEq * * @throws com.github.ojil.core.ImageError * if Gray8HistMatch throws jjil.core.Error due to coding error. */ public Gray8HistEq() throws com.github.ojil.core.ImageError { final Integer[] nullHist = new Integer[256]; histMatch = new Gray8HistMatch(nullHist); } /** * Equalize the histogram of an input gray image. * * @param image * the input image. * @throws com.github.ojil.core.ImageError * if the input image is not gray. */ @Override public void push(final Image image) throws com.github.ojil.core.ImageError { if (!(image instanceof Gray8Image)) { throw new ImageError(ImageError.PACKAGE.ALGORITHM, AlgorithmErrorCodes.IMAGE_NOT_GRAY8IMAGE, image.toString(), null, null); } final Gray8Image gray = (Gray8Image) image; /* * In order to avoid recreating histMatch every call, we recompute the * target histogram only when the image size (total # pixels) changes. */ if ((image.getWidth() * image.getHeight()) != cPixels) { cPixels = image.getWidth() * image.getHeight(); int cPixelsRemaining = cPixels; /* * (Re)compute the equalizing histogram. We want a histogram which * is as flat as possible. The calculation below evens out the * histogram values so all are within 1 of each other. */ final Integer[] histogram = new Integer[256]; for (int i = 0; i < 256; i++) { final int c = cPixelsRemaining / (256 - i); histogram[i] = c; cPixelsRemaining -= c; } histMatch.setHistogram(histogram); } /* * Apply the histogram match algorithm to equalize the histogram of the * input. */ histMatch.push(gray); super.setOutput(histMatch.getFront()); } }





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