Need help with code to loop through 10 images, calculating the edge, smoothness, and texture of each image

Hello! I'm trying to write the code that loops through 10 images and calculates the edge, smoothness, and texture of each image and outputs them as a number. Thanks!

Answer 1

[Image Analyst]

Start withthe FAQ

https://matlab.fandom.com/wiki/FAQ#How_can_I_process_a_sequence_of_files.3F

and the documentation for edge(), histogram(), stdfilt(), and glcm() (Demo attached).

Write back if you still can't figure it out.

[Alex McConville]

Thanks for the response! I still cannot figure it out. This is very complex to me as I am very new to matlab. Is there any way you could post the code that will do these things for me? Thank you.

[Image Analyst]

Exactly what definition do you want to use for "texture". It's ambiguous, as there are many possible definitions you could use.

http://www.visionbib.com/bibliography/contentstwod.html#KK2439

http://www.visionbib.com/bibliography/twod335.html#KK2915

Try this:

clc;	% Clear command window.
clear;	% Delete all variables.
close all;	% Close all figure windows except those created by imtool.
workspace;	% Make sure the workspace panel is showing.
fontSize = 14;
markerSize = 20;
% Specify the folder where the files live.
myFolder = pwd; %'C:\Users\yourUserName\Documents\My Pictures';
% Check to make sure that folder actually exists.  Warn user if it doesn't.
if ~isfolder(myFolder)
    errorMessage = sprintf('Error: The following folder does not exist:\n%s\nPlease specify a new folder.', myFolder);
    uiwait(warndlg(errorMessage));
    myFolder = uigetdir(); % Ask for a new one.
    if myFolder == 0
        % User clicked Cancel
        return;
    end
end
% Get a list of all files in the folder with the desired file name pattern.
filePattern = fullfile(myFolder, '*.png'); % Change to whatever pattern you need.
theFiles = dir(filePattern);
numFiles = length(theFiles)
for k = 1 : length(theFiles)
    baseFileName = theFiles(k).name;
    fullFileName = fullfile(theFiles(k).folder, baseFileName);
    fprintf(1, '\nNow reading image #%d of %d : "%s".\n', k, numFiles, baseFileName);
    % Now do whatever you want with this file name,
    % such as reading it in as an image array with imread()
    grayImage = imread(fullFileName);
    subplot(2, 2, 1);
    imshow(grayImage, []);  % Display image.
    caption = sprintf('Original Image : %s', baseFileName);
    title(caption, 'FontSize', fontSize, 'Interpreter', 'none');
    % Get the dimensions of the image.
    % numberOfColorChannels should be = 1 for a gray scale image, and 3 for an RGB color image.
    [rows, columns, numberOfColorChannels] = size(grayImage);
    if numberOfColorChannels > 1
        % It's not really gray scale like we expected - it's color.  Convert to gray scale.
        grayImage = grayImage(:, :, 1);
    end
    % Get the "smoothness of the image, defined as the standard deviation of the histogram.
    sigma = std(double(grayImage(:)));
    fprintf('   Image #%d of %d.  Smoothness = %f.\n', k, numFiles, sigma);
    % Get the edge image.
    % Get the edge image.
    edgeImage = edge(grayImage, 'canny');
    subplot(2, 2, 2);
    imshow(edgeImage, []);  % Display image.
    title('Edge Image', 'FontSize', fontSize);
    % Get the local standard deviation
    sdImage = stdfilt(grayImage, true(5));
    subplot(2, 2, 3);
    imshow(sdImage, []);  % Display image.
    title('stdfilt() Image', 'FontSize', fontSize);
    meanSD = mean(sdImage(:));
    fprintf('   Image #%d of %d.  Mean local StdDev = %f.\n', k, numFiles, meanSD);
    drawnow; % Force display to update immediately.
end

[Alex McConville]

Entropy for texture. Also, If I provide the directory path for the file I am using, could you input it into your code? I've only taken the image processing onramp for matlab and a lot of the code you are using seems a little beyond me.

Link to screenshot of path - https://gyazo.com/d5f1367e0715900f6a7e9452f495a710

Link to screenshot of the 10 images I need the code to calculate - https://gyazo.com/07c4a5389cc86e35bcd202fcf15a5051

[Image Analyst]

Alex, you way, way underestimate yourself. You're quite capable of writing this line

myFolder = 'C:\Users\Alex\Desktop\capstone\data\Images_for_Processing';

and replacing my line with that one.

And I'm sure that if you deserve a good grade on your capstone project that you can simply add a call to entropy(), just like I added calls to edge() and stdfilt(). Trust yourself. It's NOT beyond your capabilities. If it is, then you'll get the grade you deserve for your project. You don't deserve the grade I get for doing your project perfectly and completely for you - in fact submitting my code might get you into trouble with your university.