JAVA比较两张图相似度

代码：

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;
        }
    }
}