java获取图片比较相似度代码

以下是 Java 中获取图片相似度的代码示例：

import javax.imageio.ImageIO;
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.IOException;

public class ImageSimilarity {

    public static void main(String[] args) throws IOException {
        File img1 = new File("image1.png");
        File img2 = new File("image2.png");

        BufferedImage image1 = ImageIO.read(img1);
        BufferedImage image2 = ImageIO.read(img2);

        double similarity = compareImages(image1, image2);
        System.out.println("The similarity score is: " + similarity);
    }

    private static double compareImages(BufferedImage image1, BufferedImage image2) {
        int width1 = image1.getWidth();
        int width2 = image2.getWidth();
        int height1 = image1.getHeight();
        int height2 = image2.getHeight();

        if ((width1 != width2) || (height1 != height2)) {
            throw new IllegalArgumentException("Images must have the same dimensions");
        }

        long difference = 0;
        for (int y = 0; y < height1; y++) {
            for (int x = 0; x < width1; x++) {
                int rgb1 = image1.getRGB(x, y);
                int rgb2 = image2.getRGB(x, y);
                int red1 = (rgb1 >> 16) & 0xff;
                int green1 = (rgb1 >> 8) & 0xff;
                int blue1 = (rgb1) & 0xff;
                int red2 = (rgb2 >> 16) & 0xff;
                int green2 = (rgb2 >> 8) & 0xff;
                int blue2 = (rgb2) & 0xff;
                difference += Math.abs(red1 - red2);
                difference += Math.abs(green1 - green2);
                difference += Math.abs(blue1 - blue2);
            }
        }

        double total_pixels = width1 * height1 * 3;
        double avg_different_pixels = difference / total_pixels;
        double similarity = (avg_different_pixels / 255) * 100;

        return (100 - similarity);
    }
}

该代码使用 Java 中的 `BufferedImage` 类加载两张图片，并计算它们之间的相似度。它通过比较两个像素的 RGB 值来计算不同之处，并将其与总像素数相除以获得平均不同像素数。然后，该代码将平均不同像素数除以 255 并将其乘以 100，以获得相似度百分比。