比较两个图像 -
使用 Image.IO.read()读取它们 方法。
获取两者的高度和宽度，确保它们相等。
获取像素值，并获取两个图像的 RGB 值。
-
获取这两个图像的 RGB 值之间的差异之和。
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li> 使用以下公式计算差异的百分比 -
Average = difference/weight*height*3; Percentage = (Average/255)*100;
示例
import java.awt.Color;
import java.awt.image.BufferedImage;
import javax.imageio.ImageIO;
import java.io.File;
public class ComparingImages {
public static void main(String[] args) throws Exception {
BufferedImage img1 = ImageIO.read(new File("D:\Images\test1.jpg"));
BufferedImage img2 = ImageIO.read(new File("D:\Images\test2.jpg"));
int w1 = img1.getWidth();
int w2 = img2.getWidth();
int h1 = img1.getHeight();
int h2 = img2.getHeight();
if ((w1!=w2)||(h1!=h2)) {
System.out.println("Both images should have same dimwnsions");
} else {
long diff = 0;
for (int j = 0; j < h1; j++) {
for (int i = 0; i < w1; i++) {
//Getting the RGB values of a pixel
int pixel1 = img1.getRGB(i, j);
Color color1 = new Color(pixel1, true);
int r1 = color1.getRed();
int g1 = color1.getGreen();
int b1 = color1.getBlue();
int pixel2 = img2.getRGB(i, j);
Color color2 = new Color(pixel2, true);
int r2 = color2.getRed();
int g2 = color2.getGreen();
int b2= color2.getBlue();
//sum of differences of RGB values of the two images
long data = Math.abs(r1-r2)+Math.abs(g1-g2)+ Math.abs(b1-b2);
diff = diff+data;
}
}
double avg = diff/(w1*h1*3);
double percentage = (avg/255)*100;
System.out.println("Difference: "+percentage);
}
}
}输入1
输入2
输出
Difference: 92.54901960784314
