- OpenCV - GUI
- OpenCV - Writing an Image
- OpenCV - Reading Images
- OpenCV - Storing Images
- OpenCV - Environment
- OpenCV - Overview
- OpenCV - Home
Types of Images
Image Conversion
Drawing Functions
- OpenCV - Adding Text
- OpenCV - Drawing Arrowed Lines
- OpenCV - Drawing Convex Polylines
- OpenCV - Drawing Polylines
- OpenCV - Drawing an Ellipse
- OpenCV - Drawing a Rectangle
- OpenCV - Drawing a Line
- OpenCV - Drawing a Circle
Blur
Filtering
- OpenCV - Image Pyramids
- OpenCV - Morphological Operations
- OpenCV - Erosion
- OpenCV - Dilation
- OpenCV - Filter2D
- OpenCV - SQRBox Filter
- OpenCV - Box Filter
- OpenCV - Bilateral Filter
Thresholding
Sobel Derivatives
Transformation Operations
Camera and Face Detection
Geometric Transformations
Miscellaneous Chapters
OpenCV Useful Resources
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
OpenCV - Morphological Operations
In the earper chapters, we discussed the process of erosion and dilation. In addition to these two, OpenCV has more morphological transformations. The morphologyEx() of the method of the class Imgproc is used to perform these operations on a given image.
Following is the syntax of this method −
morphologyEx(src, dst, op, kernel)
This method accepts the following parameters −
src − An object of the class Mat representing the source (input) image.
dst − object of the class Mat representing the destination (output) image.
op − An integer representing the type of the Morphological operation.
kernel − A kernel matrix.
Example
The following program demonstrates how to apply the morphological operation "top-hat" on an image using OpenCV pbrary.
import org.opencv.core.Core; import org.opencv.core.CvType; import org.opencv.core.Mat; import org.opencv.imgcodecs.Imgcodecs; import org.opencv.imgproc.Imgproc; pubpc class MorphologyExTest { pubpc static void main(String args[]) { // Loading the OpenCV core pbrary System.loadLibrary( Core.NATIVE_LIBRARY_NAME ); // Reading the Image from the file and storing it in to a Matrix object String file ="E:/OpenCV/chap12/morph_input.jpg"; Mat src = Imgcodecs.imread(file); // Creating an empty matrix to store the result Mat dst = new Mat(); // Creating kernel matrix Mat kernel = Mat.ones(5,5, CvType.CV_32F); // Applying Blur effect on the Image Imgproc.morphologyEx(src, dst, Imgproc.MORPH_TOPHAT, kernel); // Writing the image Imgcodecs.imwrite("E:/OpenCV/chap12/morph_tophat.jpg", dst); System.out.println("Image Processed"); } }
Assume that following is the input image morph_input.jpg specified in the above program.
![Morph Input](/opencv/images/morph_input.jpg)
Output
On executing the program, you will get the following output −
Image Processed
If you open the specified path, you can observe the output image as follows −
![Morph Output](/opencv/images/morph_output.jpg)
More Operations
In addition to the morphological operation TOPHAT, demonstrated in the previous example, OpenCV caters various other types of morphologies. All these types are represented by predefined static fields (fixed values) of Imgproc class.
You can choose the type of the morphology you need by passing their respective predefined value to the parameter op of the morphologyEx() method.
// Applying Blur effect on the Image Imgproc.morphologyEx(src, dst, Imgproc.MORPH_TOPHAT, kernel);
Following are the values representing the type of morphological operations and their respective outputs.
Operation and Description | Output |
---|---|
MORPH_BLACKHAT | ![]() |
MORPH_CLOSE | ![]() |
MORPH_CROSS | ![]() |
MORPH_DILATE | ![]() |
MORPH_ELLIPSE | ![]() |
MORPH_ERODE | ![]() |
MORPH_GRADIENT | ![]() |
MORPH_OPEN | ![]() |
MORPH_RECT | ![]() |
MORPH_TOPHAT | ![]() |