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Java example demonstrating Sobel edge detection in OpenCV.
The Sobel operator for edge detections allows you to find the edges in a given image in both horizontal and vertical directions.
The Sobel() method of the Imgproc class applies the Sobel 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 SobelEdgeDetection {
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 sobel derivative with values x:0 y:1
Imgproc.Sobel(src, dst, -1, 0, 1);
HighGui.imshow("Sobel - x:0 & y:1 ", dst);
HighGui.waitKey();
//Applying sobel derivative with values x:1 y:0
Imgproc.Sobel(src, dst, -1, 1, 0);
HighGui.imshow("Sobel - x:1 & y:0 ", dst);
HighGui.waitKey();
//Applying sobel derivative with values x:1 y:1
Imgproc.Sobel(src, dst, -1, 1, 1);
HighGui.imshow("Sobel - x:1 & y:1 ", dst);
HighGui.waitKey();
}
}Output
On executing, the above program generates the following windows −
Sobel - x:0 & y:1 −
Sobel - x:1 & y:0 −
Sobel - x:1 & y:1 −
Updated on: 13-Apr-2020
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