java像素图像处理答案

【问题标题】：java pixel image processingjava像素图像处理
【发布时间】：2015-07-29 17:25:21
【问题描述】：

适用于 Android 的 Java 应用程序。有以下一段xml：

<TableRow>
    <ImageView
            android: layout_width = "wrap_content"
            android: layout_height = "wrap_content"
            android: layout_margin = "10dp"
            android: src = "@ drawable / icon_security" />
    <TextView
            android: layout_width = "wrap_content"
            android: layout_height = "wrap_content"
            style = "@ style / DesignerTextStyle2"
            android: layout_gravity = "center_vertical"
            android: text = "@ string / welcome_security_calls" />
</ TableRow>

我需要将屏幕上某个图像（例如屏幕上的第三个图像）的像素图像处理与著名图像（即此图像-“@drawable / icon_security”）进行比较。

你能给我举个例子来解决这个问题吗？

【问题讨论】：

您是否希望使用像素值比较图像？
比较相等还是相似？你能说得更具体点吗？
比较绝对相等

标签： java android image-processing

【解决方案1】：

这是Java 代码，我使用来自URL 的像素值比较两个图像

package imager;

import java.awt.image.BufferedImage;
import javax.imageio.ImageIO;
import java.io.IOException;
import java.net.URL;
public class Imagecompare
{
    public static void main(String args[])
      {
        String s1;
        BufferedImage img1 = null;
        BufferedImage img2 = null;
        try {
          URL url1 = new URL("http://www.lac.inpe.br/JIPCookbook/Resources/ImageSimilarity/d02.jpg");
          URL url2 = new URL("http://www.lac.inpe.br/JIPCookbook/Resources/ImageSimilarity/s02.jpg");
          img1 = ImageIO.read(url1);
          img2 = ImageIO.read(url2);
        } catch (IOException e) {
          e.printStackTrace();
        }
        int width1 = img1.getWidth(null);
        int width2 = img2.getWidth(null);
        int height1 = img1.getHeight(null);
        int height2 = img2.getHeight(null);
        if ((width1 != width2) || (height1 != height2)) {
          System.err.println("Error: Images dimensions mismatch");
          System.exit(1);
        }
        long diff = 0;
        for (int y = 0; y < height1; y++) {
          for (int x = 0; x < width1; x++) {
            int rgb1 = img1.getRGB(x, y);
            int rgb2 = img2.getRGB(x, y);
            int r1 = (rgb1 >> 16) & 0xff;
            int g1 = (rgb1 >>  8) & 0xff;
            int b1 = (rgb1      ) & 0xff;
            int r2 = (rgb2 >> 16) & 0xff;
            int g2 = (rgb2 >>  8) & 0xff;
            int b2 = (rgb2      ) & 0xff;
            diff += Math.abs(r1 - r2);
            diff += Math.abs(g1 - g2);
            diff += Math.abs(b1 - b2);
          }
        }
        double n = width1 * height1 * 3;
        double p = diff / n / 255.0;
        double percnt = 100.0-(p*100.0);
        System.out.println("PERCENT: " +percnt);
      }

}

【讨论】：