JAVA比较两张图片相似度的方法

import java.awt.image.BufferedImage;import java.io.File;import javax.imageio.ImageIO;/** * 比较两张图片的相似度 * @author Guihua * */public class BMPLoader {  // 改变成二进制码  public static String[][] getPX(String args) {    int[] rgb = new int[3];    File file = new File(args);    BufferedImage bi = null;    try {      bi = ImageIO.read(file);    } catch (Exception e) {      e.printStackTrace();    }    int width = bi.getWidth();    int height = bi.getHeight();    int minx = bi.getMinX();    int miny = bi.getMinY();    String[][] list = new String[width][height];    for (int i = minx; i < width; i++) {      for (int j = miny; j < height; j++) {        int pixel = bi.getRGB(i, j);        rgb[0] = (pixel & 0xff0000) >> 16;        rgb[1] = (pixel & 0xff00) >> 8;        rgb[2] = (pixel & 0xff);        list[i][j] = rgb[0] + "," + rgb[1] + "," + rgb[2];      }    }    return list;  }  public static void compareImage(String imgPath1, String imgPath2){    String[] images = {imgPath1, imgPath2};    if (images.length == 0) {      System.out.println("Usage >java BMPLoader ImageFile.bmp");      System.exit(0);    }    // 分析图片相似度 begin    String[][] list1 = getPX(images[0]);    String[][] list2 = getPX(images[1]);    int xiangsi = 0;    int busi = 0;    int i = 0, j = 0;    for (String[] strings : list1) {      if ((i + 1) == list1.length) {        continue;      }      for (int m=0; m<strings.length; m++) {        try {          String[] value1 = list1[i][j].toString().split(",");          String[] value2 = list2[i][j].toString().split(",");          int k = 0;          for (int n=0; n<value2.length; n++) {            if (Math.abs(Integer.parseInt(value1[k]) - Integer.parseInt(value2[k])) < 5) {              xiangsi++;            } else {              busi++;            }          }        } catch (RuntimeException e) {          continue;        }        j++;      }      i++;    }    list1 = getPX(images[1]);    list2 = getPX(images[0]);    i = 0;    j = 0;    for (String[] strings : list1) {      if ((i + 1) == list1.length) {        continue;      }      for (int m=0; m<strings.length; m++) {        try {          String[] value1 = list1[i][j].toString().split(",");          String[] value2 = list2[i][j].toString().split(",");          int k = 0;          for (int n=0; n<value2.length; n++) {            if (Math.abs(Integer.parseInt(value1[k]) - Integer.parseInt(value2[k])) < 5) {              xiangsi++;            } else {              busi++;            }          }        } catch (RuntimeException e) {          continue;        }        j++;      }      i++;    }    String baifen = "";    try {      baifen = ((Double.parseDouble(xiangsi + "") / Double.parseDouble((busi + xiangsi) + "")) + "");      baifen = baifen.substring(baifen.indexOf(".") + 1, baifen.indexOf(".") + 3);    } catch (Exception e) {      baifen = "0";    }    if (baifen.length() <= 0) {      baifen = "0";    }    if(busi == 0){      baifen="100";    }    System.out.println("相似像素数量：" + xiangsi + " 不相似像素数量：" + busi + " 相似率：" + Integer.parseInt(baifen) + "%");  }  public static void main(String[] args){    BMPLoader.compareImage("E://12.bmp", "E://1.bmp");  }}