How to perform Bitwise XOR operation on two images using Java OpenCV?

You can compute bitwise exclusive or between two images using the bitwise_xor() method of the org.opencv.core.Core class.

This method accepts three Mat objects representing the source, destination, and result matrices, calculates the bitwise exclusive or of each element in the source matrices and stores the result in the destination matrix.


In the following Java example, we are converting an image into binary and gray scale and calculating the bitwise exclusive or of the results.

import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.highgui.HighGui;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
public class BitwiseXORExample {
   public static void main(String args[]) throws Exception {
      //Loading the OpenCV core library
      System.loadLibrary( Core.NATIVE_LIBRARY_NAME );
      //Reading the Image
      String file ="D://images//elephant.jpg";
      Mat src = Imgcodecs.imread(file, Imgcodecs.IMREAD_GRAYSCALE );
      HighGui.imshow("Grayscale Image", src);
      //Creating an empty matrix to store the results
      Mat dst = new Mat(src.rows(), src.cols(), src.type());
      Mat threshold = new Mat(src.rows(), src.cols(), src.type());
      Mat gray = new Mat(src.rows(), src.cols(), src.type());
      //Converting the gray scale image to binary image
      Imgproc.threshold(src, threshold, 100, 255, Imgproc.THRESH_BINARY_INV);
      HighGui.imshow("Binary Image", threshold);
      //Applying bitwise Or operation
      Core.bitwise_xor(src, threshold, dst);
      HighGui.imshow("Bitwise XOR operation", dst);

Input Image


On executing, the above program generates the following windows −

Gray Scale Image

Binary Image

Bitwise Xor −