Explain Top Hat and Black hat morphological operations in Java.

JavaObject Oriented ProgrammingProgramming

Morphological operations are the set of operations that process images according to the given shapes.

  • Erosion − Erosion is a morphological operation during which pixels are removed from the image boundaries.

  • Dilation − During is a morphological operation during which pixels are added to the image boundaries.

  • Where the total number of pixels added/removed depends on the dimensions of the structuring element used.

  • Morphological Opening − During this operation erosion is applied on the given input and on the result dilation is applied. This is used to remove small objects from the foreground of an image.

  • Morphological Closing − During this operation dilation is applied on the given input and on the result erosion is applied. This is used to remove small objects on an image.

A Morphological Top Hat is a difference between the given image and its opening.

Example

import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.highgui.HighGui;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
public class TopHatExample {
   public static void main(String args[]) {
      //Loading the OpenCV core library
      System.loadLibrary( Core.NATIVE_LIBRARY_NAME );
      //Reading image data
      String file ="D:\\Images\\morph_input1.jpg";
      Mat src = Imgcodecs.imread(file);
      //Creating destination matrix
      Mat dst = new Mat(src.rows(), src.cols(), src.type());
      //Preparing the kernel matrix object
      Mat kernel = Mat.ones(5,5, CvType.CV_32F);
      //Applying dilate on the Image
      Imgproc.morphologyEx(src, dst, Imgproc.MORPH_TOPHAT, kernel);
      //Displaying the image
      HighGui.imshow("Blackhat Gradient", dst);
      HighGui.waitKey();
   }
}

Input Image

Output

A Morphological Black Hat is a difference between the closing and the given image.

Example

import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.highgui.HighGui;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
public class TopHatExample {
   public static void main(String args[]) {
      //Loading the OpenCV core library
      System.loadLibrary( Core.NATIVE_LIBRARY_NAME );
      //Reading image data
      String file ="D:\\Images\\morph_input1.jpg";
      Mat src = Imgcodecs.imread(file);
      //Creating destination matrix
      Mat dst = new Mat(src.rows(), src.cols(), src.type());
      //Preparing the kernel matrix object
      Mat kernel = Mat.ones(5,5, CvType.CV_32F);
      //Applying dilate on the Image
      Imgproc.morphologyEx(src, dst, Imgproc.MORPH_BLACKHAT, kernel);
      //Displaying the image
      HighGui.imshow("Blackhat Gradient", dst);
      HighGui.waitKey();
   }
}

Input Image

Output

raja
Published on 13-Apr-2020 14:13:09
Advertisements