Java example demonstrating Scharr edge detection in OpenCV.

The Scharr operator for edge detections allows you to find the edges in a given image in both horizontal and vertical directions.

The Scharr() method of the Imgproc class applies the Scharr edge detection algorithm on the given image. This method accepts −

• Two Mat objects representing the source and destination images.

• An integer variable representing the depth of an image.

• Two double variables to hold the x and y derivatives.

Example

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 ScharrEdgeDetection {
   public static void main(String args[]) {
      //Loading the OpenCV core library
      System.loadLibrary( Core.NATIVE_LIBRARY_NAME );
      String file ="D:\Images\win2.jpg";
      Mat src = Imgcodecs.imread(file);
      //Creating an empty matrix for the destination image
      Mat dst = new Mat();
      //Applying Scharr derivative with values x:1 y:0
      Imgproc.Scharr(src, dst, Imgproc.CV_SCHARR, 0, 1);
      HighGui.imshow("Scharr - x:0 & y:1 ", dst);
      //Applying Scharr derivative with values x:1 y:0
      Imgproc.Scharr(src, dst, Imgproc.CV_SCHARR, 1, 0);
      HighGui.imshow("Scharr - x:1 & y:0 ", dst);
      HighGui.waitKey();
   }
}

Input Image

Output

On executing, the above program generates the following windows −

Scharr - x:0 & y:1 − 

Scharr - x:1 & y:0 −