java 判断两张图片相似度

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"
);
  
}
}

    原文作者:清墨夕颜
    原文地址: https://blog.csdn.net/qq1010319899/article/details/72781106
    本文转自网络文章,转载此文章仅为分享知识,如有侵权,请联系博主进行删除。
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