JAVA比较两张图相似度

package com.uiwho.com;import javax.imageio.*;
import java.awt.image.*;
import java.awt.*;//Color
import java.io.*;public class PhotoDigest {
public static void main(String[] args) throws Exception {
float percent = compare(getData("C:/Users/Administrator/Desktop/1.jpg"),
getData("C:/Users/Administrator/Desktop/2.png"));
if(percent==0){
System.out.println("无法比较");
}else{
System.out.println("两张图片的相似度为：" + percent + "%");
}
} public static int[] getData(String name) {
try{
BufferedImage img = ImageIO.read(new File(name));
BufferedImage slt = new BufferedImage(100, 100, BufferedImage.TYPE_INT_RGB);
slt.getGraphics().drawImage(img, 0, 0, 100, 100, null);
// ImageIO.write(slt,"jpeg",new File("slt.jpg"));
int[] data = new int[256];
for (int x = 0; x < slt.getWidth(); x++) {
for (int y = 0; y < slt.getHeight(); y++) {
int rgb = slt.getRGB(x, y);
Color myColor = new Color(rgb);
int r = myColor.getRed();
int g = myColor.getGreen();
int b = myColor.getBlue();
data[(r + g + b) / 3]++;
}
}
// data 就是所谓图形学当中的直方图的概念
return data;
}catch(Exception exception){
System.out.println("有文件没有找到,请检查文件是否存在或路径是否正确");
return null;
}
} public static float compare(int[] s, int[] t) {
try{
float result = 0F;
for (int i = 0; i < 256; i++) {
int abs = Math.abs(s[i] - t[i]);
int max = Math.max(s[i], t[i]);
result += (1 - ((float) abs / (max == 0 ? 1 : max)));
}
return (result / 256) * 100;
}catch(Exception exception){
return 0;
}
}
}