基于Java实现的图像识别

ImageComparerUI——基于Java语言实现的相似图像识别，基于直方图比较算法。 import java.awt.BorderLayout; import java.awt.Color; import java.awt.Dimension; import java.awt.FlowLayout; import java.awt.Font; import java.awt.Graphics; import java.awt.Graphics2D; import java.awt.Image; import java.awt.MediaTracker; import java.awt.event.ActionEvent; import java.awt.event.ActionListener; import java.awt.image.BufferedImage; import java.io.File; import java.io.IOException; import javax.imageio.ImageIO; import javax.swing.JButton; import javax.swing.JComponent; import javax.swing.JFileChooser; import javax.swing.JFrame; import javax.swing.JPanel; public class ImageComparerUI extends JComponent implements ActionListener { /** * */ private static final long serialVersionUID = 1L; private JButton browseBtn; private JButton histogramBtn; private JButton compareBtn; private Dimension mySize; // image operator private MediaTracker tracker; private BufferedImage sourceImage; private BufferedImage candidateImage; private double simility; // command constants public final static String BROWSE_CMD = "Browse..."; public final static String HISTOGRAM_CMD = "Histogram Bins"; public final static String COMPARE_CMD = "Compare Result"; public ImageComparerUI() { JPanel btnPanel = new JPanel(); btnPanel.setLayout(new FlowLayout(FlowLayout.LEFT)); browseBtn = new JButton("Browse..."); histogramBtn = new JButton("Histogram Bins"); compareBtn = new JButton("Compare Result"); // buttons btnPanel.add(browseBtn); btnPanel.add(histogramBtn); btnPanel.add(compareBtn); // setup listener... browseBtn.addActionListener(this); histogramBtn.addActionListener(this); compareBtn.addActionListener(this); mySize = new Dimension(620, 500); JFrame demoUI = new JFrame("Similiar Image Finder"); demoUI.getContentPane().setLayout(new BorderLayout()); demoUI.getContentPane().add(this, BorderLayout.CENTER); demoUI.getContentPane().add(btnPanel, BorderLayout.SOUTH); de

package com.gloomyfish.image.compare;
//Download by http://www.codefans.net
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;
	}

	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        	int ta = 0 tr = 0 tg = 0 tb = 0;
        	for（int col=0; 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 ）;
    }

}

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