在bufferedimage上画画?

时间:2015-04-11 02:46:33

标签: java swing jlabel imageicon

大家好,我知道这是一个常见的,但我已经搜索了很多,似乎无法让我的绘画方法来绘制我的JPanel中的组件。

我的绘画方法与按下按钮相关联。它打印出大约1500个数据点及其分配的集群(kmeans)

 package eye_pathscanner;


import java.awt.Color;
import java.awt.Graphics;
import java.awt.Point;
import java.util.ArrayList;
import java.util.Random;

import javax.swing.JFrame;
import javax.swing.JOptionPane;
import javax.swing.JPanel;

public class ReplayData extends JPanel {

// replay type can be parsed as argument into draw() to change paints behaviour
private int ReplayType = 0;

public ArrayList<DataPoint> points;

//Initialise records
public ReplayData()
{
    points = new ArrayList<DataPoint>();
}

public void ReplaceData() {
    points = new ArrayList<DataPoint>();
}

public void PrintPoints()
{

}
public void addPoint(DataPoint point) {
    points.add(point);

}

@Override
public void paintComponent(Graphics g) {

    Color black = new Color(0, 0, 0);
    Random random = new Random();
    final float luminance = 0.9f;

    if (ReplayType == 1)
    {
        super.paintComponent(g);

        for (int x = 0; x < kMeans.NUM_CLUSTERS; x++)
        {
            // Saturation ideal between 0.1 and 0.3
            float saturation = (random.nextInt(2000) + 1000) / 10000f;
            float hue = random.nextFloat();
            Color cluster_colour = Color.getHSBColor(hue, saturation, luminance);

            // Randomise the border colour
            saturation = (random.nextInt(2000) + 1000) / 10000f;
            hue = random.nextFloat();
            Color cluster_colour_border = Color.getHSBColor(hue, saturation, luminance);

            double centroidx = kMeans.centroids.get(x).getmX();
            double centroidy = kMeans.centroids.get(x).getmY();

            for (int i = 0; i < kMeans.TOTAL_DATA; i++) 
                if(kMeans.dataSet.get(i).cluster() == x){
                    // Set each child data point to a colour so you can see which cluster it belongs too
                    g.setColor(cluster_colour);
                    g.fillRect((int)TrackerData.getRecordNumber(i).getEyeX(),(int)TrackerData.getRecordNumber(i).getEyeY(), 3, 3);
                    g.drawLine((int)kMeans.dataSet.get(i).X(),(int)kMeans.dataSet.get(i).Y(), (int)centroidx, (int)centroidy);
                    //g.setColor(Color.black);
                    g.setColor(cluster_colour_border);
                    g.drawRect((int)TrackerData.getRecordNumber(i).getEyeX(),(int)TrackerData.getRecordNumber(i).getEyeY(), 3, 3);
                }

            g.setColor(black);
            g.fillOval((int)centroidx,(int)centroidy, 15, 15);


        }
    }


}

// 1 for K-means with different colour cluster groups
// 2 for slow replay

public void draw(int i) {
    ReplayType = i;
    repaint();
}

}

这段代码对我来说都很有用,但是在使用它后我丢失了在绘画下面绘制的图像。我可以最大化页面,图像再次显示,但在油漆上? (任何人都可以解释这种行为)。

    JLabel picture_panel = new JLabel();
    picture_panel.setBounds(70, 130, 640, 797);
    picture_panel.addMouseListener(this);   
    BufferedImage img = null;

    try 
    {
        img = ImageIO.read(new File("C:/Eyetracker_Images/Random.jpg")); // eventually C:\\ImageTest\\pic2.jpg
        ImageIcon icon = new ImageIcon(img);
        picture_panel.setIcon(icon);

    } 
    catch (IOException e) 
    {
        e.printStackTrace();
    }

继承我创建图像的位置,并在下面的一个按钮

上调用它
 replayData.setBounds(0, 0, 802, 977);
 frame.getContentPane().add(replayData); 
 replayData.draw(1);  

非常感谢任何帮助,谢谢。

1 个答案:

答案 0 :(得分:1)

这可能是使用setBounds()的工件。此外,您似乎使用默认布局管理器而不在封闭容器上调用pack()

由于您已经有BufferedImage包含呈现的图片,因此只需在drawImage()的实施中调用paintComponent()即可。示例见hereherehere

同时考虑按照建议的herehere覆盖getPreferredSize() ReplayData方法,以确定其维度。

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