myImageDemo.zip_java 车牌定位_定位_灰度化二值化_车牌定位 java

package com.wu; import java.awt.Color; import java.awt.Graphics; import java.awt.color.ColorSpace; import java.awt.event.ActionEvent; import java.awt.event.ActionListener; import java.awt.image.BufferedImage; import java.awt.image.ColorConvertOp; import java.awt.image.ConvolveOp; import java.awt.image.Kernel; import java.util.ArrayList; import javax.swing.ImageIcon; import javax.swing.JFileChooser; import javax.swing.JFrame; import javax.swing.JLabel; import javax.swing.JMenu; import javax.swing.JMenuBar; import javax.swing.JMenuItem; import javax.swing.JOptionPane; import javax.swing.JScrollPane; import javax.swing.JSplitPane; public class Main extends JFrame{ //显示源图像的标签，并将其加入滚动条 JLabel jls=new JLabel(); JScrollPane jspz=new JScrollPane(jls); //显示目标图像的标签，并将其加入滚动条 JLabel jlt=new JLabel(); JScrollPane jspy=new JScrollPane(jlt); //分隔窗口,并将控件加入 JSplitPane jsp=new JSplitPane(JSplitPane.HORIZONTAL_SPLIT,jspz,jspy); //文件选择器 JFileChooser jfc=new JFileChooser("d:/法拉立"); //菜单栏，菜单以及菜单项 JMenuBar jmb=new JMenuBar(); JMenu jme=new JMenu("文件"); JMenuItem []jmit={new JMenuItem("打开图像"),new JMenuItem("清空图像"),new JMenuItem("图像处理"),new JMenuItem("车牌定位"),new JMenuItem("退出操作"),}; //创建不同的滤镜的卷积矩阵数组 float[][]data={ //加强边缘 {0f,-1f,0f,-1f,5f,-1f,0f,-1f,0f}, //锐化 {-0.125f,-0.125f,-0.125f, -0.125f,2f,-0.125f, -0.125f,-0.125f,-0.125f}, //模糊 {0.09375f,0.09375f,0.09375f, 0.09375f,0.25f,0.09375f, 0.09375f,0.09375f,0.09375f}, //浮雕 {2f,0f,2f, 0f,0f,0f, 2f,0f,-5f}, //边缘检测 {0.0f,-1.0f,0.0f,-1.0f,4.f,-1.0f,0.0f,-1.0f,0.0f} }; //定义一个图标 ImageIcon ii; public Main(){ super("图像处理示例"); this.setBounds(150,100, 1000, 500); //默认的布局为BorderLayout() //循环将菜单项添加进文件菜单，并为每个菜单项注册动作事件监听器 for(int j=0;j<jmit.length;j++){ jme.add(jmit[j]); } jmit[0].addActionListener(new Handler1());//打开 jmit[1].addActionListener(new Handler2());//清空 jmit[2].addActionListener(new Handler9());//处理 jmit[3].addActionListener(new Handler4());//定位 jmit[4].addActionListener(new Handler3());//退出 //将菜单添加进菜单栏，并将菜单栏添加进窗体 jmb.add(jme); this.setJMenuBar(jmb); //将分割窗格添加到窗体中 this.add(jsp); //关闭动作 this.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); this.setVisible(true); this.setResizable(true); } //打开图像 class Handler1 implements ActionListener{ public void actionPerformed(ActionEvent e) { //加载选择的图片到图标对象中 ii=this.chooserFile(); //将图片设置到源标签中 jls.setIcon(ii); //设置两个标签的水平、垂直对齐方式 jls.setVerticalAlignment(JLabel.CENTER); jls.setHorizontalAlignment(JLabel.CENTER); jlt.setVerticalAlignment(JLabel.CENTER); jlt.setHorizontalAlignment(JLabel.CENTER); //将处理后的图片设置到目标标签中 jlt.setIcon(ii); //设置分隔条的宽度以及初始位置 jsp.setDividerLocation(500); jsp.setDividerSize(4); } /* * 加载选中图片的方法 * */ public ImageIcon chooserFile() { //弹出文件选择器 int i=jfc.showOpenDialog(null); //获取选择文件的路径 String dir=(jfc.getSelectedFile()!=null)?(jfc.getSelectedFile().getPath()):null; if(dir!=null&&!dir.equals("")) { //按指定的路径加载图片到图标对象中并返回 return new ImageIcon(dir); } return null; } } //处理 class Handler9 implements ActionListener{ public void actionPerformed(ActionEvent e) { if(ii==null||ii.equals("")){ JOptionPane.showMessageDialog(null,"请先打开一幅图片!", "Alert",JOptionPane.WARNING_MESSAGE); } else { int width=ii.getImage().getWidth(null); int height=ii.getImage().getHeight(null); //bi的存在是为了要把img转换成BufferedImage.这招瞒有用 BufferedImage bi= new BufferedImage(width,height,BufferedImage.TYPE_INT_RGB); //将待处理图像绘制到源BufferedImage对像图像中 Graphics g=bi.getGraphics(); //将待处理图像绘制到源BufferedImage对像图像中 g.drawImage(ii.getImage(),0,0,null); //存卷积后的BufferedImage(处理后的图像) BufferedImage bimg=new BufferedImage(width,height,BufferedImage.TYPE_INT_RGB); Kernel kernel=new Kernel(3,3,data[4]); //根据data建个3X3的矩阵 //ConvolveOp 专门用于图像的卷积 ConvolveOp cop=new ConvolveOp(kernel,ConvolveOp.EDGE_NO_OP,null); cop.filter(bi,bimg); //过滤后生成新的BufferedImage //获取处理后的图像并设置到目标标签中 jlt.setIcon(new ImageIcon(bimg)); } } } class Handler4 implements ActionListener{ private int minHorizontalPos = 0; private int maxHorizontalPos = 0; private int minVerticalPos = 0; private int maxVerticalPos = 0; private BufferedImage bi; private int width; private int height; private int pixels[][][] ; private int[] histogramArray = null; public void actionPerformed(ActionEvent e){ if(ii==null||ii.equals("")){ JOptionPane.showMessageDialog(null,"请先打开一幅图片!", "Alert",JOptionPane.WARNING_MESSAGE); } else { width=ii.getImage().getWidth(null); height=ii.getImage().getHeight(null); //bi的存在是为了要把img转换成BufferedImage.这招瞒有用 bi= new BufferedImage(width,height,BufferedImage.TYPE_INT_RGB); //将待处理图像绘制到源BufferedImage对像图像中 Graphics g=bi.getGraphics(); //将待处理图像绘制到源BufferedImage对像图像中 g.drawImage(ii.getImage(),0,0,null); //存卷积后的BufferedImage(处理后的图像) BufferedImage bimg=new BufferedImage(width,height,BufferedImage.TYPE_INT_RGB); pixels = new int[width][height][4]; for (int i = 0; i < width; i++) { for (int j = 0; j < height; j++) { int pixel = bi.getRGB(i, j); //System.out.println(pixel+"========"+Integer.toBinaryString(pixel)); pixels[i][j][0] = getAlphaCoordinate(pixel); //System.out.println("pixels[i][j][0]"+pixels[i][j][0]+"========"+Integer.toBinaryString(pixels[i][j][0])); pixels[i][j][1] = getRedCoordinate(pixel); //System.out.println("pixels[i][j][1]"+pixels[i][j][1]+"========"+Integer.toBinaryString(pixels[i][j][1])); pixels[i][j][2] = getGreenCoordinate(pixel); //System.out.println("pixels[i][j][2]"+pixels[i][j][2]+"========"+Integer.toBinaryString(pixels[i][j][2])); pixels[i][j][3] = getBlueCoordinate(pixel); //System.out.println("pixels[i][j][3]"+pixels[i][j][3]+"========"+Integer.toBinaryString(pixels[i][j][3])); } } //灰度 histogramArray = new int[256];//灰度直方图，灰度等于某个值的个数有多少 for (int i = 0; i < width; i++) { for (int j = 0; j < height; j++) { int grayValue = (int) (pixels[i][j][1] * 0.30 + pixels[i][j][2] * 0.59 + pixels[i][j][3] * 0.11 + 0.5); //灰度化，R=G=L pixels[i][j][1] = grayValue; pixels[i][j][2] = grayValue; pixels[i][j][3] = grayValue; histogramArray[grayValue]++; } } for (int i = 0; i < width; i++) { for (int j = 0; j < height; j++) { bi.setRGB(i, j, getGRB(pixels[i][j][0], pixels[i][j][1], pixels[i][j][2], pixels[i][j][3])); } } //直方图均衡化，增强图片对比度 int totalPixels = width * height; double[] densityArray = new double[256];//灰度密度，灰度等于某个值的概率有多少 double[] distributionArray = new double[256];//灰度