java--比较两张图片的相似度

最新推荐文章于 2025-03-13 11:42:38 发布

转载最新推荐文章于 2025-03-13 11:42:38 发布 · 6.1k 阅读

文章标签：

#java

android开发 / jni 同时被 3 个专栏收录

125 篇文章

订阅专栏

图像处理OpenCV

51 篇文章

订阅专栏

JAVA开发

43 篇文章

订阅专栏

本文介绍了一种通过分析两张图片的像素颜色值来比较其相似度的方法。该方法首先将图片转换为RGB颜色值矩阵，然后通过对比这些值来确定两张图片之间的相似程度。文章提供了一个具体的Java实现示例。

原文转自：http://liuguihua0823.iteye.com/blog/1178118

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");
	}
}