Java比较图片相似度

HistogramFilter.java

package com.terrynow.test.imagecompare;

import java.awt.image.BufferedImage;

public class HistogramFilter {
	
	private int redBins;
	private int greenBins;
	private int blueBins;
	
	public HistogramFilter() {
		redBins = greenBins = blueBins = 4;
	}
	
	public void setRedBinCount(int redBinCount) {
		this.redBins = redBinCount;
	}

	public void setGreenBinCount(int greenBinCount) {
		this.greenBins = greenBinCount;
	}

	public void setBlueBinCount(int blueBinCount) {
		this.blueBins = blueBinCount;
	}

	@SuppressWarnings("unused")
	public float[] filter(BufferedImage src, BufferedImage dest) {
		int width = src.getWidth();
        int height = src.getHeight();
        
        int[] inPixels = new int[width*height];
        float[] histogramData = new float[redBins * greenBins * blueBins];
        getRGB( src, 0, 0, width, height, inPixels );
        int index = 0;
        int redIdx = 0, greenIdx = 0, blueIdx = 0;
        int singleIndex = 0;
        float total = 0;
        for(int row=0; row<height; row++) {
        	int ta = 0, tr = 0, tg = 0, tb = 0;
        	for(int col=0; col<width; col++) {
        		index = row * width + col;
        		ta = (inPixels[index] >> 24) & 0xff;
                tr = (inPixels[index] >> 16) & 0xff;
                tg = (inPixels[index] >> 8) & 0xff;
                tb = inPixels[index] & 0xff;
                redIdx = (int)getBinIndex(redBins, tr, 255);
                greenIdx = (int)getBinIndex(greenBins, tg, 255);
                blueIdx = (int)getBinIndex(blueBins, tb, 255);
                singleIndex = redIdx + greenIdx * redBins + blueIdx * redBins * greenBins;
                histogramData[singleIndex] += 1;
                total += 1;
        	}
        }
        
        // start to normalize the histogram data
        for (int i = 0; i < histogramData.length; i++)
        {
        	histogramData[i] = histogramData[i] / total;
        }
        
        return histogramData;
	}

	private float getBinIndex(int binCount, int color, int colorMaxValue) {
		float binIndex = (((float)color)/((float)colorMaxValue)) * ((float)binCount);
		if(binIndex >= binCount)
			binIndex = binCount  - 1;
		return binIndex;
	}
	
	public int[] getRGB( BufferedImage image, int x, int y, int width, int height, int[] pixels ) {
		int type = image.getType();
		if ( type == BufferedImage.TYPE_INT_ARGB || type == BufferedImage.TYPE_INT_RGB )
			return (int [])image.getRaster().getDataElements( x, y, width, height, pixels );
		return image.getRGB( x, y, width, height, pixels, 0, width );
    }

}

ImageComparer.java

package com.terrynow.test.imagecompare;

import java.awt.image.BufferedImage;

public class ImageComparer {
	private BufferedImage sourceImage;
	private BufferedImage candidateImage;
	
	public ImageComparer(BufferedImage srcImage, BufferedImage canImage) {
		this.sourceImage = srcImage;
		this.candidateImage = canImage;
	}
	
	/**
	 * Bhattacharyya Coefficient
	 * http://www.cse.yorku.ca/~kosta/CompVis_Notes/bhattacharyya.pdf
	 * 
	 * @return
	 */
	public double modelMatch() {
		HistogramFilter hfilter = new HistogramFilter();
		float[] sourceData = hfilter.filter(sourceImage, null);
		float[] candidateData = hfilter.filter(candidateImage, null);
		double[] mixedData = new double[sourceData.length];
		for(int i=0; i<sourceData.length; i++ ) {
			mixedData[i] = Math.sqrt(sourceData[i] * candidateData[i]);
		}
		
		// The values of Bhattacharyya Coefficient ranges from 0 to 1,
		double similarity = 0;
		for(int i=0; i<mixedData.length; i++ ) {
			similarity += mixedData[i];
		}
		
		// The degree of similarity
		return similarity;
	}

}

Test.java

package com.terrynow.test.imagecompare;

import java.awt.image.BufferedImage;
import java.io.File;

import javax.imageio.ImageIO;

/**
 * @author Terry E-mail: yaoxinghuo at 126 dot com
 * @date Feb 17, 2014 11:18:04 AM
 * @description
 */
public class Test {
	public static void main(String[] args) throws Exception {
		BufferedImage imageSrc = ImageIO.read(new File("/Users/Terry/Downloads/flower.jpg"));
		BufferedImage imageAnother = ImageIO.read(new File("/Users/Terry/Downloads/another.jpg"));
		ImageComparer imageComparer = new ImageComparer(imageSrc, imageAnother);
		System.out.println(imageComparer.modelMatch());
	}
}