基于JAVA的RGB，YCbCr模型的肤色检测和灰度共生矩阵的纹理特征提取

package com.ky415.ImagePreprocess; import java.awt.Color; import java.awt.Graphics; import java.awt.Image; import java.awt.MediaTracker; import java.awt.Menu; import java.awt.MenuBar; import java.awt.MenuItem; import java.awt.event.ActionEvent; import java.awt.event.ActionListener; import java.awt.event.WindowAdapter; import java.awt.event.WindowEvent; import java.awt.image.BufferedImage; import java.awt.image.ImageProducer; import java.awt.image.MemoryImageSource; import java.io.File; import java.io.IOException; import javax.imageio.ImageIO; import javax.swing.JFileChooser; import javax.swing.JFrame; public class ImagePreprocess extends JFrame implements ActionListener { Image iImage; BufferedImage bufferedImg; int iw, ih; int[] pix,pix2; public ImagePreprocess() { setTitle("图像预处理"); this.setBackground(Color.lightGray); // 菜单界面 setMenu(); // 关闭窗口 closeWin(); setSize(600, 550); setLocation(700, 10); setVisible(true); } public static void main(String[] args) { new ImagePreprocess(); } public void paint(Graphics g) { g.clearRect(0, 0, 600, 550); g.drawImage(iImage, 5, 50, null); } //将数组pix转化为图像序列pixels public int[] toPixels(int[][] pix, int iw, int ih) { int[] pi = new int[iw*ih]; for(int j = 0; j < ih; j++) { for(int i = 0; i < iw; i++) { int c = pix[i][j]; if(c < 0) c = c + 256; pi[i+j*iw] = (255<<24)|(c<<16)|(c<<8)|c; } } return pi; } //显示数据 public void draw(Graphics g, int x1, int y1, int x2, int y2, String str) { g.clearRect(270,50,526,306); g.setColor(Color.red); g.drawLine(270,305,525,305); //x轴 g.drawLine(270,305,270,50); //y轴 g.drawLine(270,305,270+x1,305-y1); //(0,0)-(x1,y1) g.drawLine(270+x1,305-y1,270+x2,305-y2);//(x1,y1)-(x2,y2) g.drawLine(270+x2,305-y2,525,50); //(x2,y2)-(255,255) g.setColor(Color.BLUE); g.drawString("(x1,y1)",255+x1,290-y1); g.drawString("(x2,y2)",255+x2,325-y2); g.drawString(str,340,70); } public void actionPerformed(ActionEvent evt) { Graphics graph = getGraphics(); if (evt.getSource() == openItem) { // 文件选择对话框 JFileChooser chooser = new JFileChooser(); chooser.setCurrentDirectory(new File("./images")); int r = chooser.showOpenDialog(null); MediaTracker tracker = new MediaTracker(this); if (r == JFileChooser.APPROVE_OPTION) { String name = chooser.getSelectedFile().getAbsolutePath(); File inputFile = new File(name); bufferedImg = null; try { bufferedImg = ImageIO.read(inputFile); } catch (IOException e) { e.printStackTrace(); } iw = bufferedImg.getWidth(); ih = bufferedImg.getHeight(); iImage=(Image)bufferedImg; repaint(); } } else if (evt.getSource() == RGBItem) { setTitle("RGB肤色模型"); int[][] iPix = new int[iw][ih]; int green = 0, red = 0, blue = 0; for (int i = 0; i < bufferedImg.getWidth(); i++) { for (int j = 0; j < bufferedImg.getHeight(); j++) { Object data = bufferedImg.getRaster().getDataElements( i, j, null);// 获取该点像素，并以object类型表示 red = bufferedImg.getColorModel().getRed(data); blue = bufferedImg.getColorModel().getBlue(data); green = bufferedImg.getColorModel().getGreen(data); int max,min; System.out.println(red + " " + green + " " + blue); if (red > 95 && green > 40 && blue > 20 && red > blue && red > green && Math.abs(red - green) > 15) { if (blue >= green) { max = blue; min = green; } else { max = green; min = blue; } if (red > max) max = red; else if (red < min) min = red; if (max - min > 15) { iPix[i][j] = 255; } else { iPix[i][j] = 0; } } else { iPix[i][j] = 0; } // Raster r = bufferedImg.setRGB(x, y, rgb) // bufferedImg.setData(R); } } // iImage = createImage(mis); //将数组pix转化为图像序列pixels pix = toPixels(iPix, iw, ih); //将数组中的象素产生一个图像 ImageProducer ip = new MemoryImageSource(iw, ih, pix, 0, iw); iImage = createImage(ip); //repaint(); // Graphics graph = getGraphics(); graph.drawImage(iImage, 300, 50, null); // graph.drawString("title",20,450); } else if (evt.getSource() == YCbCrItem) { setTitle("YCbCr肤色模型"); int[][] iPix = new int[iw][ih]; int green = 0, red = 0, blue = 0; for (int i = 0; i < bufferedImg.getWidth(); i++) { for (int j = 0; j < bufferedImg.getHeight(); j++) { Object data = bufferedImg.getRaster().getDataElements( i, j, null); // 获取该点像素，并以object类型表示 red = bufferedImg.getColorModel().getRed(data); blue = bufferedImg.getColorModel().getBlue(data); green = bufferedImg.getColorModel().getGreen(data); int max,min; System.out.println(red + " " + green + " " + blue); //计算Cb值与Cr值 double Cb = 128 - 0.168736*red - 0.331264*green + 0.5*blue; double Cr = 128 + 0.5*red - 0.418688*green - 0.081312*blue; //当判断该像素点是否满足肤色要求 if(Cb > 77 && Cb<127 && Cr>133 && Cr<173) iPix[i][j] = 255; else iPix[i][j] = 0; } } // iImage = createImage(mis); //将数组pix转化为图像序列pixels pix = toPixels(iPix, iw, ih); //将数组中的象素产生一个图像 ImageProducer ip = new MemoryImageSource(iw, ih, pix, 0, iw); iImage = createImage(ip); //repaint(); // Graphics graph = getGraphics(); graph.drawImage(iImage, 300, 50, null); // graph.drawString("title",20,450); } else if (evt.getSource() == LSBItem) { setTitle("LSB结果统计"); int[][] iPix = new int[iw][ih]; int green = 0, red = 0, blue = 0; double LSB0 = 0; double LSB1 = 0; for (int i = 0; i < bufferedImg.getWidth(); i++) { for (int j = 0; j < bufferedImg.getHeight(); j++) { Object data = bufferedImg.getRaster().getDataElements( i, j, null); // 获取该点像素，并以object类型表示 red = bufferedImg.getColorModel().getRed(data); blue = bufferedImg.getColorModel().getBlue(data); green = bufferedImg.getColorModel().getGreen(data); System.out.println(red + " " + green + " " + blue); //最低有效位平面（LSB）为0，处理为黑色 if(red % 2 == 0){ LSB0 ++; iPix[i][j] = 0; } //最低有效位平面（LSB）为1，处理为白色 else{ LSB1 ++; iPix[i][j] = 255; } } } double result = LSB0 / LSB1; setTitle("LSB结果统计中 LSB0/LSB1 的结果为" + result); // iImage = createImage(mis); //将数组pix转化为图像序列pixels pix = toPixels(iPix, iw, ih); //将数组中的象素产生一个图像 ImageProducer ip = new MemoryImageSource(iw, ih, pix, 0, iw); iImage = createImage(ip); //repaint(); // Graphics graph = getGraphics(); graph.drawImage(iImage, 300, 50, null); // graph.drawString("title",20,450); } else if (evt.getSource() == CoItem) { setTitle("灰度处理"); //设定偏移量 int glcmDis = 3; int maxGrayLevel = 0; //设定灰度阶级 int grayLevel = 16; int[][] iPix = new int[iw][ih]; int green = 0, red = 0, blue = 0; for (int i = 0