【发布时间】:2014-06-18 15:40:25
【问题描述】:
我想逐个像素地漫游每一块土地,但我在较大的国家(俄罗斯、法国)遇到了 stackoverflow。如何优化递归?
public class Hajra extends JFrame {
public int [] xxx={-1,-1,-1,0,1,1,1,0};
public int [] yyy={-1,0,1,1,1,0,1,-1};
public BufferedImage img;
public long a,b;
public boolean ok = false;
public int x,y;
Hajra(){
setBounds(50,50,770,609);
setDefaultCloseOperation(EXIT_ON_CLOSE);
setVisible(true);
setResizable(false);
setContentPane(new JLabel(new ImageIcon("C:/Users/Isti/workspace/preprocess/backgroud.jpg")));
try{
img=ImageIO.read(new File("C:/Users/Isti/workspace/preprocess/backgroud.jpg"));
} catch (IOException t) {
// TODO Auto-generated catch block
t.printStackTrace();
}
this.addMouseListener(new MouseListener() {
@Override
public void mouseReleased(MouseEvent arg0) {
// TODO Auto-generated method stub
}
@Override
public void mousePressed(MouseEvent arg0) {
// TODO Auto-generated method stub
}
@Override
public void mouseExited(MouseEvent arg0) {
// TODO Auto-generated method stub
}
@Override
public void mouseEntered(MouseEvent arg0) {
// TODO Auto-generated method stub
}
@Override
public void mouseClicked(MouseEvent e) {
x = e.getX();
y = e.getY();
a = img.getRGB(x, y);
if(Math.abs(a)<600000){
bejar(x+15,y+5);}
File f = new File("MyFileee2.png");
try {
ImageIO.write(img, "PNG", f);
} catch (IOException e1) {
// TODO Auto-generated catch block
e1.printStackTrace();
}
}
});
}
void bejar ( int ujx , int ujy){
for(int i=0;i<8;i++){
///System.out.println( "---"+ ujx + " " + ujy+ " \n");
if(Math.abs(Math.abs(a)-Math.abs(img.getRGB(ujx+xxx[i], ujy+yyy[i])))< 600000 && ujx+xxx[i] <789 && ujx+xxx[i] >10 && ujy+yyy[i] < 630 && ujy+yyy[i]> 10 ){
img.setRGB(ujx, ujy,77);
bejar(ujx+xxx[i], ujy+yyy[i]);
}
}
}
public static void main(String[] args) {
new Hajra();
}
}
图片:
【问题讨论】:
-
您可以通过不使用递归来“优化”它。考虑使用堆栈。