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Explain Top Hat and Black hat morphological operations in Java.
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
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