JAVA 比较两张图片的相似度的代码
2018-07-20 来源:open-open
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"); } }
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