I wish to read 322 images of mammogram then wish to apply the enhancement techniques say histogram equalization and then wish to calculate contrast improvement index (CII) of all 322 images followed by showing results of all 322 images graphically
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My problem is I am not able to understand how to use for loop or other technique to read 322 images followed by applying the enhancement techniques on all 322 images, calculation of CII and entropy of all and showing their results graphically. I have all 322 images in a folder.
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awezmm
2018-11-3
编辑:awezmm
2018-11-3
Make sure your images are grayscale
You would do:
%Put the full path of the folder containing all your images in location argument below.
imds = imageDatastore('location')
%Now you will have to use for loop to read all the images
for i = 1:length(imds.Files)
%getting file name of an image
curr_image_cell_name = imds.Files(i);
curr_image_file_name = curr_image_cell_name{1,1};
%reading current image
curr_image = imread(curr_image_file_name);
%now you can adjust your image here, note that your images have to be grayscale
%there are a variet methods: check out this site:
%https://www.mathworks.com/help/images/contrast-enhancement-techniques.html
%some examples, note that your images have to be grayscale
image_imadjust = imadjust(curr_image);
image_histeq = histeq(curr_image);
image_adapthisteq = adapthisteq(curr_image);
%you can show this graphically by plotting the histograms of different images
%figure. This is explained in:
%https://www.mathworks.com/help/images/contrast-enhancement-techniques.html
imshow(imhist(curr_image))
%entropy of grayscale image:
%https://www.mathworks.com/help/images/ref/entropy.html
ent = entropy(curr_image);
disp(ent)
end
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Image Analyst
2018-11-4
For the end of the loop, try
ent(i) = entropy(curr_image);
fprintf('For image #%d of %d, the entropy is %f.\n', i, length(imds.Files), ent(i));
end
plot(ent, 'b-', 'LineWidth', 2);
grid on;
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