com.github.ojil.algorithm.Gray8HistEq Maven / Gradle / Ivy
Show all versions of ojil-core Show documentation
/*
* 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.Error;
import com.github.ojil.core.Gray8Image;
import com.github.ojil.core.Image;
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 Gray8HistMatch histMatch;
/**
* Creates a new instance of Gray8HistEq
* @throws com.github.ojil.core.Error if Gray8HistMatch throws jjil.core.Error due to coding error.
*/
public Gray8HistEq() throws com.github.ojil.core.Error {
Integer[] nullHist = new Integer[256];
this.histMatch = new Gray8HistMatch(nullHist);
}
/** Equalize the histogram of an input gray image.
*
* @param image the input image.
* @throws com.github.ojil.core.Error if the input image is not gray.
*/
public void push(Image image) throws com.github.ojil.core.Error {
if (!(image instanceof Gray8Image)) {
throw new Error(
Error.PACKAGE.ALGORITHM,
ErrorCodes.IMAGE_NOT_GRAY8IMAGE,
image.toString(),
null,
null);
}
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) {
this.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.
*/
Integer[] histogram = new Integer[256];
for (int i=0; i<256; i++) {
int c = cPixelsRemaining / (256 - i);
histogram[i] = c;
cPixelsRemaining -= c;
}
this.histMatch.setHistogram(histogram);
}
/* Apply the histogram match algorithm to equalize the histogram
* of the input.
*/
this.histMatch.push(gray);
super.setOutput(this.histMatch.getFront());
}
}