Wie erstellt man ein Histogramm unter Verwendung des RGB-Pixelwerts?

Question

Ich erstelle eine App in der Netbeans-Plattform. Ich möchte ein Histogramm zeichnen. Ich habe die roten, grünen und blauen Farbwerte der Pixel des Bildes. Bitte schlage mir jemand vor, wie ich ein Histogramm mit diesen Pixelwerten erstellen kann. Mein Code ist unten, in dem ich die ROTEN, GRÜNEN und BLAUEN Pixelwerte des Bildes nehme.

 Gib hier deinen Code ein

    import java.awt.Component;
     import java.awt.image.BufferedImage;
     import java.io.File;
     import java.io.IOException;
     import javax.imageio.ImageIO;

      public class WalkImageTest10 extends Component {

      public static void main(String[] foo) throws IOException {
      WalkImageTest10 wa= new WalkImageTest10();
     }

      public void printPixelARGB(int pixel) {
      int alpha = (pixel >> 24) & 0xff;
      int red = (pixel >> 16) & 0xff;
      int green = (pixel >> 8) & 0xff;
      int blue = (pixel) & 0xff;

      System.out.println("argb: " + alpha + ", " + red + ", " + green + ", " + blue);
      //System.out.println(pixel);
     }

     private void marchThroughImage(BufferedImage image) {
     int w = image.getWidth();
      int h = image.getHeight();
      int pixel;
      System.out.println("width, height: " + w + ", " + h);

     for (int i = 0; i < h; i++) {
     for (int j = 0; j < w; j++) {
     //System.out.println("x,y: " + j + ", " + i);
     pixel = image.getRGB(j, i);
     printPixelARGB(pixel);
      //System.out.println("value of K:"+k+ " value of  pixel: " + pixel[j][i]);
     }
     }
System.out.println("loop is completed");
}

public WalkImageTest10() throws IOException {
// this is an image of a white spot on a black background.
// with the smoothing in the image it's of course not all black
// and white
BufferedImage image = 
ImageIO.read(new File("F:\\java\\aimages\\003.jpg"));
marchThroughImage(image);

}
}

Answer 1

import java.awt.Color;
       import java.awt.Graphics;
      import java.awt.image.BufferedImage;
      import java.awt.image.RescaleOp;
     import java.io.IOException;
     import javax.media.jai.JAI;
     import javax.media.jai.PlanarImage;
        import javax.swing.*;

    public class FinalHistogram extends JPanel {

   int[] bins = new int[256];
  FinalHistogram(int[] pbins) {
    bins = pbins;
    repaint();
   }

 @Override
 protected void paintComponent(Graphics g) {
    //g.drawLine();

    for (int i = 0; i < 256; i++) {

        System.out.println("bin[" + i + "]===" + bins[i]);
        g.drawLine(200 + i, 300, 200 + i, 300 - (bins[i])/1000);
        //g.drawLine(200 + i, 200, 200 + i, 200-(bins[i])/1500);

        //  System.out.println("bin["+i+"]==="+bins[i]);
     }

   }

  public static void main(String[] args) throws IOException {
    JFrame frame = new JFrame();
    frame.setSize(500, 500);
    int[] pbins = new int[256];
    int[] sbins = new int[256];
    PlanarImage image = JAI.create("fileload", "image12.tiff");
    BufferedImage bi = image.getAsBufferedImage();    
    System.out.println("tipe is          " + bi.getType());
    int[] pixel = new int[3];

    int k = 0;
    Color c = new Color(k);
    Double d = 0.0;
    Double d1;
    for (int x = 0; x < bi.getWidth(); x++) {
        for (int y = 0; y < bi.getHeight(); y++) {
            pixel = bi.getRaster().getPixel(x, y, new int[3]);
          d=(0.2125*pixel[0])+(0.7154*pixel[1])+(0.072*pixel[2]);
              k=(int) (d/256);

            sbins[k]++;
        }

     }
     System.out.println("copleted" + d + "--" + k);
     JTabbedPane jtp=new JTabbedPane();
     ImageIcon im= new ImageIcon(bi);
      //jtp.add("New image", new JLabel((im)));
        jtp.addTab("Histogram",new FinalHistogram(sbins));
        frame.add(jtp);
     frame.setVisible(true);
     frame.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE);
   }
 }