how to extract morphological features from a image

Technical Source
2 min readFeb 15, 2022

How to extract “morphological features”, based on the following information.

Apply contextual filters based on mathematical morphology to image, in particular, four very common morphological filters are considered:

opening (O), closing ©, opening by reconstruction (OR), and closing by reconstruction (CR).

For each of these filters, we used a structuring element (SE) whose dimensions increased from 9 to 25 pixels with steps of 2 pixels, resulting in nine morphological features.

The process of reconstruction for OR and CR operators is performed using a small (3-pixel diameter) SE. The entire process of morphological filtering increases the dimensionality of the datasets from four to 40 features.

Please can someone help me to do this….

i didnt understand how to do it…. should i do all the morphological operations to one image?? so totally how many features will i get? i am confused… please can someone tell me how to do it?

NOTE:-

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Read in a grayscale image, for example one of the MATLAB demo images like ‘cameraman.tif’. Then set up a window with true() or strel(), then call the morphological function they told you to, for example:

grayImage = imread('cameraman.tif');
subplot(1, 2, 1);
imshow(grayImage, []);
title('Original Image', 'FontSize', 30);
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0 1 1]);
% Now do an opening.
openedImage = imopen(grayImage, true(11));
subplot(1, 2, 2);
imshow(openedImage, []);
title('Opened Image', 'FontSize', 30);

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Technical Source

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