JAVA 比较两张图片的相似度

本文介绍了一个Java程序,用于比较两张图片的相似度。通过提取图片的RGB值,并将其转换为字符串数组进行比较,最终计算出两张图片之间的相似率。
import java.awt.image.BufferedImage;
import java.io.File;
import javax.imageio.ImageIO;

public class Test{

		// 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){
			Test.compareImage("E:\\2.png", "E:\\1.png");
		}
}

评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值