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資源簡介

ImageComparerUI——基于Java語言實(shí)現(xiàn)的相似圖像識別，基于直方圖比較算法。 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

資源截圖

代碼片段和文件信息 

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[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?）;
????}

}

?屬性????????????大小?????日期????時(shí)間???名稱
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?????????????????8145????????????????????5


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