程序是一个关于图像中值滤波的。
这个是能编译通过的,没人用多线程的
想改成用多线程来实现对像素矩阵的中值滤波,也就是让一个线程来管一行像素的处理。
附件里是原程序,下边是我改的,可是错误的呀
谢谢各位大侠指教!!
//MultiMedianImage.java
/* 程序说明:用多线程实现对图像的中值滤波调用MedianThread.java
作 者:lai
*/
public void jRun_ActionPerformed(ActionEvent e){
if(flag){
//调用MedianThread.java进行多线程中值滤波
//MedianThread mt=new MedianThread(iw,ih,im);
for(int i=1;i<ih;i++)
{
MedianThread mt=new MedianThread(line);
Thread thread=new Thread(mt);
thread.start();
thread.join();
}
//将数组中的象素产生一个图像
ImageProducer ip=new MemoryImageSource(iw,ih,pixels,0,iw);
tmp=createImage(ip);
flag=true;
repaint();
}else
{
JOptionPane.showMessageDialog(null,"请先打开一幅图片!",
"Alert",JOptionPane.WARNING_MESSAGE);
}
}
}
class MedianThread implements Runnable
{
public MedianThread(final int line)
{
this.i=line;
} public void run()
{
try{
PixelGrabber pg=new PixelGrabber(im,0,0,iw,ih,pixels,0,iw);
pg.grabPixels();
}catch (InterruptedException e3) {
e3.printStackTrace();
}
//对图像进行中值滤波,Alpha值保持不变
ColorModel cm=ColorModel.getRGBdefault(); synchronized(this)
{
for(int j=1;j<iw-1;j++)//??????????????????
{
int red,green,blue;
int alpha=cm.getAlpha(pixels[i*iw+j]);
int red2=cm.getRed(pixels[(i-1)*iw+j]);
int red4=cm.getRed(pixels[i*iw+j-1]);
int red5=cm.getRed(pixels[i*iw+j]);
int red6=cm.getRed(pixels[i*iw+j+1]);
int red8=cm.getRed(pixels[(i+1)*iw+j]);
//水平方向进行中值滤波
if(red4>=red5){
if(red5>=red6) {red=red5;}
else{
if(red4>=red6) {red=red6;}
else{red=red4;}
}}
else{
if(red4>red6) {red=red4;}
else{
if(red5>red6) {red=red6;}
else{red=red5;}
}}
int green2=cm.getGreen(pixels[(i-1)*iw+j]);
int green4=cm.getGreen(pixels[i*iw+j-1]);
int green5=cm.getGreen(pixels[i*iw+j]);
int green6=cm.getGreen(pixels[i*iw+j+1]);
int green8=cm.getGreen(pixels[(i+1)*iw+j]);
//水平方向进行中值滤波
if(green4>=green5){
if(green5>=green6) {green=green5;}
else{
if(green4>=green6) {green=green6;}
else{green=green4;}
}}
else{
if(green4>green6) {green=green4;}
else{
if(green5>green6) {green=green6;}
else{green=green5;}
}}
int blue2=cm.getBlue(pixels[(i-1)*iw+j]);
int blue4=cm.getBlue(pixels[i*iw+j-1]);
int blue5=cm.getBlue(pixels[i*iw+j]);
int blue6=cm.getBlue(pixels[i*iw+j+1]);
int blue8=cm.getBlue(pixels[(i+1)*iw+j]);
//水平方向进行中值滤波
if(blue4>=blue5){
if(blue5>=blue6) {blue=blue5;}
else{
if(blue4>=blue6) {blue=blue6;}
else{blue=blue4;}
}}
else{
if(blue4>blue6) {blue=blue4;}
else{
if(blue5>blue6) {blue=blue6;}
else{blue=blue5;}
}}
pixels[i*iw+j]=alpha<<24|red<<16|green<<8|blue;
}[/align]
}
}
}
这个是能编译通过的,没人用多线程的
想改成用多线程来实现对像素矩阵的中值滤波,也就是让一个线程来管一行像素的处理。
附件里是原程序,下边是我改的,可是错误的呀
谢谢各位大侠指教!!
//MultiMedianImage.java
/* 程序说明:用多线程实现对图像的中值滤波调用MedianThread.java
作 者:lai
*/
public void jRun_ActionPerformed(ActionEvent e){
if(flag){
//调用MedianThread.java进行多线程中值滤波
//MedianThread mt=new MedianThread(iw,ih,im);
for(int i=1;i<ih;i++)
{
MedianThread mt=new MedianThread(line);
Thread thread=new Thread(mt);
thread.start();
thread.join();
}
//将数组中的象素产生一个图像
ImageProducer ip=new MemoryImageSource(iw,ih,pixels,0,iw);
tmp=createImage(ip);
flag=true;
repaint();
}else
{
JOptionPane.showMessageDialog(null,"请先打开一幅图片!",
"Alert",JOptionPane.WARNING_MESSAGE);
}
}
}
class MedianThread implements Runnable
{
public MedianThread(final int line)
{
this.i=line;
} public void run()
{
try{
PixelGrabber pg=new PixelGrabber(im,0,0,iw,ih,pixels,0,iw);
pg.grabPixels();
}catch (InterruptedException e3) {
e3.printStackTrace();
}
//对图像进行中值滤波,Alpha值保持不变
ColorModel cm=ColorModel.getRGBdefault(); synchronized(this)
{
for(int j=1;j<iw-1;j++)//??????????????????
{
int red,green,blue;
int alpha=cm.getAlpha(pixels[i*iw+j]);
int red2=cm.getRed(pixels[(i-1)*iw+j]);
int red4=cm.getRed(pixels[i*iw+j-1]);
int red5=cm.getRed(pixels[i*iw+j]);
int red6=cm.getRed(pixels[i*iw+j+1]);
int red8=cm.getRed(pixels[(i+1)*iw+j]);
//水平方向进行中值滤波
if(red4>=red5){
if(red5>=red6) {red=red5;}
else{
if(red4>=red6) {red=red6;}
else{red=red4;}
}}
else{
if(red4>red6) {red=red4;}
else{
if(red5>red6) {red=red6;}
else{red=red5;}
}}
int green2=cm.getGreen(pixels[(i-1)*iw+j]);
int green4=cm.getGreen(pixels[i*iw+j-1]);
int green5=cm.getGreen(pixels[i*iw+j]);
int green6=cm.getGreen(pixels[i*iw+j+1]);
int green8=cm.getGreen(pixels[(i+1)*iw+j]);
//水平方向进行中值滤波
if(green4>=green5){
if(green5>=green6) {green=green5;}
else{
if(green4>=green6) {green=green6;}
else{green=green4;}
}}
else{
if(green4>green6) {green=green4;}
else{
if(green5>green6) {green=green6;}
else{green=green5;}
}}
int blue2=cm.getBlue(pixels[(i-1)*iw+j]);
int blue4=cm.getBlue(pixels[i*iw+j-1]);
int blue5=cm.getBlue(pixels[i*iw+j]);
int blue6=cm.getBlue(pixels[i*iw+j+1]);
int blue8=cm.getBlue(pixels[(i+1)*iw+j]);
//水平方向进行中值滤波
if(blue4>=blue5){
if(blue5>=blue6) {blue=blue5;}
else{
if(blue4>=blue6) {blue=blue6;}
else{blue=blue4;}
}}
else{
if(blue4>blue6) {blue=blue4;}
else{
if(blue5>blue6) {blue=blue6;}
else{blue=blue5;}
}}
pixels[i*iw+j]=alpha<<24|red<<16|green<<8|blue;
}[/align]
}
}
}
/*
对图像进行中值滤波.
*/import java.awt.*;
import java.awt.event.*;
import java.awt.image.*;
import javax.swing.*;
import java.io.*;public class MedianImage extends Frame {
Image im,tmp,tmp2,im2;
int iw,ih;
int[] pixels;
int[] pixels2;
boolean flag=false;
boolean flag2=false;
//构造方法
public MedianImage(){
super("中值滤波");
Panel pdown;
Button load,run,save,quit;
Button show,show2;
//添加窗口监听事件
addWindowListener(new WindowAdapter(){
public void windowClosing(WindowEvent e){
System.exit(0);
}
});
pdown = new Panel();
pdown.setBackground(Color.lightGray);//yellow
load=new Button("装载图像");
run = new Button("中值滤波");
save=new Button("保存");
quit=new Button("退出");
show=new Button("显示像素表");
show2=new Button("滤波后的像素表");
this.add(pdown,BorderLayout.SOUTH);
pdown.add(load);
pdown.add(show);
pdown.add(run);
pdown.add(save);
pdown.add(show2);
pdown.add(quit);
load.addActionListener(new ActionListener(){
public void actionPerformed(ActionEvent e){
jLoad_ActionPerformed(e);
}
});
run.addActionListener(new ActionListener(){
public void actionPerformed(ActionEvent e){
jRun_ActionPerformed(e);
}
});
quit.addActionListener(new ActionListener(){
public void actionPerformed(ActionEvent e){
jQuit_ActionPerformed(e);
}
});
save.addActionListener(new ActionListener(){
public void actionPerformed(ActionEvent e){
jSave_ActionPerformed(e);
}
});
show.addActionListener(new ActionListener(){
public void actionPerformed(ActionEvent e)
{ jShow_ActionPerformed(e);}
});
show2.addActionListener(new ActionListener(){
public void actionPerformed(ActionEvent e)
{ jShow2_ActionPerformed(e);}
});
}
//利用MediaTracker跟踪图像的加载
MediaTracker tracker = new MediaTracker(this);
im=Toolkit.getDefaultToolkit().getImage("001.jpg");
tracker.addImage(im,0);
//等待图像的完全加载
try{
tracker.waitForID(0);
}catch(InterruptedException e2){ e2.printStackTrace();}
//获取图像的宽度iw和高度ih
iw=im.getWidth(this);
ih=im.getHeight(this);
pixels=new int[iw*ih];
try{
PixelGrabber pg=new PixelGrabber(im,0,0,iw,ih,pixels,0,iw);
pg.grabPixels();
}catch (InterruptedException e3) {
e3.printStackTrace();
}
//将数组中的象素产生一个图像????????
ImageProducer ip=new MemoryImageSource(iw,ih,pixels,0,iw);
tmp=createImage(ip);
flag=true;
repaint();
}
public void jRun_ActionPerformed(ActionEvent e){
if(flag){
try{
PixelGrabber pg=new PixelGrabber(im,0,0,iw,ih,pixels,0,iw);
pg.grabPixels();
}catch (InterruptedException e3) {
e3.printStackTrace();
}
//对图像进行中值滤波,Alpha值保持不变
ColorModel cm=ColorModel.getRGBdefault();
for(int i=1;i<ih-1;i++)
{
for(int j=1;j<iw-1;j++)
{
int red,green,blue;
int alpha=cm.getAlpha(pixels[i*iw+j]);
int red2=cm.getRed(pixels[(i-1)*iw+j]);
int red4=cm.getRed(pixels[i*iw+j-1]);
int red5=cm.getRed(pixels[i*iw+j]);
int red6=cm.getRed(pixels[i*iw+j+1]);
int red8=cm.getRed(pixels[(i+1)*iw+j]);
//水平方向进行中值滤波
if(red4>=red5){
if(red5>=red6) {red=red5;}
else{
if(red4>=red6) {red=red6;}
else{red=red4;}
}}
else{
if(red4>red6) {red=red4;}
else{
if(red5>red6) {red=red6;}
else{red=red5;}
}}
int green2=cm.getGreen(pixels[(i-1)*iw+j]);
int green4=cm.getGreen(pixels[i*iw+j-1]);
int green5=cm.getGreen(pixels[i*iw+j]);
int green6=cm.getGreen(pixels[i*iw+j+1]);
int green8=cm.getGreen(pixels[(i+1)*iw+j]);
//水平方向进行中值滤波
if(green4>=green5){
if(green5>=green6) {green=green5;}
else{
if(green4>=green6) {green=green6;}
else{green=green4;}
}}
else{
if(green4>green6) {green=green4;}
else{
if(green5>green6) {green=green6;}
else{green=green5;}
}}
int blue2=cm.getBlue(pixels[(i-1)*iw+j]);
int blue4=cm.getBlue(pixels[i*iw+j-1]);
int blue5=cm.getBlue(pixels[i*iw+j]);
int blue6=cm.getBlue(pixels[i*iw+j+1]);
int blue8=cm.getBlue(pixels[(i+1)*iw+j]);
//水平方向进行中值滤波
if(blue4>=blue5){
if(blue5>=blue6) {blue=blue5;}
else{
if(blue4>=blue6) {blue=blue6;}
else{blue=blue4;}
}}
else{
if(blue4>blue6) {blue=blue4;}
else{
if(blue5>blue6) {blue=blue6;}
else{blue=blue5;}
}}
pixels[i*iw+j]=alpha<<24|red<<16|green<<8|blue;//
}
}
/*if(i==0) //||‖||=ih
{
for(j=0;j<iw;j++)
{
pixels2[i*iw+j]=pixels[i*iw+j];
}
}
if(i==ih-1) //||‖||=ih||j=iw
{
for(j=0;j<iw;j++)
{
pixels2[i*iw+j]=pixels[i*iw+j];
}
}
if(j==0)
{
for(i=0;i<ih;i++)
{
pixels2[i*iw+j]=pixels[i*iw+j];
}
}
if(j==iw-1)
{
for(i=0;i<ih;i++)
{
pixels2[i*iw+j]=pixels[i*iw+j];
}
}*///第一行,第一列,最后一行,最后一列
//????
//将数组中的象素产生一个图像
ImageProducer ip=new MemoryImageSource(iw,ih,pixels,0,iw);
tmp=createImage(ip);
flag=true;
flag2=true;
repaint();
}else{
JOptionPane.showMessageDialog(null,"请先打开一幅图片!",
"Alert",JOptionPane.WARNING_MESSAGE);
}
}
public void jSave_ActionPerformed(ActionEvent e){
//Save Image
if(flag2){
final FileDialog fileDialog_save=new FileDialog(this,"保存对话框",FileDialog.SAVE);
fileDialog_save.addWindowListener(new WindowAdapter()
{ public void windowClosing(WindowEvent e)
{fileDialog_save.setVisible(false);}});
//保存图像
fileDialog_save.setVisible(true);
if(fileDialog_save.getFile()!=null)
{
try
{
File file=new File("C:\\Documents and Settings\\DELL\\桌面\\002.jpg");//fileDialog_save.getDirectory(),fileDialog_save.getFile()
FileWriter tofile=new FileWriter(file);
BufferedWriter out=new BufferedWriter(tofile);
out.write(pixels.getBytes());
out.flush();
out.close();
}catch(IOException e2)
{
e2.printStackTrace();
}
}
}//}
else{
JOptionPane.showMessageDialog(null,"请先进行滤波!",
"Alert",JOptionPane.WARNING_MESSAGE);
}
}
public void jQuit_ActionPerformed(ActionEvent e)
{
//System.exit(0);
JOptionPane op =new JOptionPane();
int exit=op.showConfirmDialog(this,"你要退出吗? ? ?","退出",JOptionPane.YES_NO_OPTION);
if(exit==JOptionPane.YES_OPTION)
{
System.exit(0);
}else{ }
}
public void jShow_ActionPerformed(ActionEvent e)
{
if(flag){
//获取图像的宽度iw和高度ih
iw=im.getWidth(this);
ih=im.getHeight(this);
//提取图像的象素pixels
pixels=new int[iw*ih];
try{
PixelGrabber pg=new PixelGrabber(im,0,0,iw,ih,pixels,0,iw);
pg.grabPixels();
}catch (InterruptedException eee) {
eee.printStackTrace();
}
//调用PixelsShow.java进行显示
PixelsShow ps=new PixelsShow(iw,ih);
ps.setData(pixels);
ps.showTable();
ps.setVisible(true);
repaint();
}else{
JOptionPane.showMessageDialog(null,"请先打开一幅图片!",
"Alert",JOptionPane.WARNING_MESSAGE);
}
}
public void jShow2_ActionPerformed(ActionEvent e)
{
if(flag2){
//tmp2=tmp;
//tmp2
MediaTracker tracker2 = new MediaTracker(this);
im2=Toolkit.getDefaultToolkit().getImage("001.jpg");
tracker2.addImage(im2,1);
/*//获取图像的宽度iw和高度ih
iw=im.getWidth(this);
ih=im.getHeight(this);
*/
//提取图像的象素pixels
pixels2=new int[iw*ih];
try{
PixelGrabber pg2=new PixelGrabber(im2,0,0,iw,ih,pixels2,0,iw);
pg2.grabPixels();
}catch (InterruptedException eee) {
eee.printStackTrace();
}
//调用PixelsShow.java进行显示
PixelsShow ps2=new PixelsShow(iw,ih);
ps2.setData(pixels2);
ps2.showTable();
ps2.setVisible(true);
repaint();
}else{
JOptionPane.showMessageDialog(null,"请滤波后再点击我!",
"Alert",JOptionPane.WARNING_MESSAGE);
}
}
//调用paint()方法,显示图像信息。
public void paint(Graphics g){
if(flag){
g.drawImage(tmp,10,20,this);
}else { }
}
//定义main方法,设置窗口的大小,显示窗口
public static void main(String[] args) {
MedianImage mi = new MedianImage();
mi.setLocation(200,250);
mi.setSize(500,400);
mi.setVisible(true);
}
}