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how to extract morphological features from a image

 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 (C), 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);

morphological features


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