We strongly recommend to refer below posts as a prerequisite of this.
- Image Processing in Java | Set 1 (Read and Write)
- Image Processing In Java | Set 2 (Get and set Pixels)
In this article we will learn how to compare two given images (must be of same dimensions) and print the percentage of difference between them.
Algorithm:
Step 1 – Check if dimensions of both the image match.
Step 2 – Get the RGB values of both images.
Step 3 – Calculate the difference in two corresponding pixel of three color components.
Step 4 – Repeat Step 2-3 for each pixel of the images.
Step 5 – Calculate the percentage by dividing the sum of differences with:
- Number of pixels, to obtain the average difference per pixel
- 3, to obtain the average difference per color component
- 255, to obtain a value between 0.0 and 1.0 which can be converted into a percent value
Implementation:
// Java Program to compare two images import java.awt.image.BufferedImage; import javax.imageio.ImageIO; import java.io.File; import java.io.IOException; class ImageComparision { public static void main(String[] args) { BufferedImage imgA = null ; BufferedImage imgB = null ; try { File fileA = new File( "/home / pratik /" + " Desktop / image1.jpg" ); File fileB = new File( "/home / pratik /" + " Desktop / image2.jpg" ); imgA = ImageIO.read(fileA); imgB = ImageIO.read(fileB); } catch (IOException e) { System.out.println(e); } int width1 = imgA.getWidth(); int width2 = imgB.getWidth(); int height1 = imgA.getHeight(); int height2 = imgB.getHeight(); if ((width1 != width2) || (height1 != height2)) System.out.println( "Error: Images dimensions" + " mismatch" ); else { long difference = 0 ; for ( int y = 0 ; y < height1; y++) { for ( int x = 0 ; x < width1; x++) { int rgbA = imgA.getRGB(x, y); int rgbB = imgB.getRGB(x, y); int redA = (rgbA >> 16 ) & 0xff ; int greenA = (rgbA >> 8 ) & 0xff ; int blueA = (rgbA) & 0xff ; int redB = (rgbB >> 16 ) & 0xff ; int greenB = (rgbB >> 8 ) & 0xff ; int blueB = (rgbB) & 0xff ; difference += Math.abs(redA - redB); difference += Math.abs(greenA - greenB); difference += Math.abs(blueA - blueB); } } // Total number of red pixels = width * height // Total number of blue pixels = width * height // Total number of green pixels = width * height // So total number of pixels = width * height * 3 double total_pixels = width1 * height1 * 3 ; // Normalizing the value of different pixels // for accuracy(average pixels per color // component) double avg_different_pixels = difference / total_pixels; // There are 255 values of pixels in total double percentage = (avg_different_pixels / 255 ) * 100 ; System.out.println( "Difference Percentage-->" + percentage); } } } |
NOTE:Code will not run on online ide since it requires image in drive.
Output:
Input images:
Output : Difference Percentage–>2.843600130405922
Input images:
Output : Difference Percentage–>6.471412648669786
Input images:
Output : Difference Percentage–>0.0
This article is contributed by Pratik Agarwal. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.
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