Problem using extractLBPFeatures because the output cant be write to a matrix

I have a bunch of images I want to extract features of and I'm using different kinds of functions like mean, entropy, and graycoprops but I also want to use extractLBPFeatures, all de data is written to column vectors or matrix that I preallocate after using zeros, but when I tried to use the same for the features of extractLBPFeatures I have this error Unable to perform assignment because the left and right sides have a different number of elements. The dimensions of the output are always 1x10 row vectors and the number of files is 49 so I create a 49x10 matrix

my code

% se busca el directorio donde estan todas las imagenes a analizar
imagenes1 = imageDatastore('C:\Users\mi-ck\OneDrive\Escritorio\clases_matlab\jorge\NORMAL_DCI\NORMAL_DCI');
% se prelocaliza la memoria de todas las variables que se utilizaran para
% guardar los datos del analisis
[l,a] = size(imagenes1.Files);
media = zeros(l,1);
desviacion = zeros(l,1);
entropia = zeros(l,1);
% se ejecuta un ciclo for donde se extraen las siguientes propiedades de
% cada imagen: media, desviacion estandar, entropia, contraste,
% correlacion, energia y homogeneidad
localBinary = zeros(l,10);
for i = 1:l
     imagen = readimage(imagenes1,i);
     %imagenrecortada = imcrop(imagen,[130 109 670 600]);
     media(i) = mean(imagen(:));
     desviacion(i) = std(double(imagen(:)));
     entropia(i) = entropy(imagen);
     propiedades(i) = graycoprops(imagen);
     extractLBPFeatures(imagen,"Upright",false)
     %imshow(imcrop(imagen,[164 109 787 629]))
end

example of the output

Answer 1

[Image Analyst]

We can't run images, only code as text.

TUTORIAL: How to ask a question (on Answers) and get a fast answer

And also attach any files/images we need to load at run time. I'll check back later.

graycoprops() does not return a scalar so you can't stuff it into propiedades(i).

[Miguel Angel Manuel Espindola Gleason]

thanks, I changed the image to code and i store a structure containing all the output from every image

[Image Analyst]

What is the name of that structure? I don't see it. Post your latest code.

Is it working now?

[Miguel Angel Manuel Espindola Gleason]

This is the struct that saves in propiedades

And the code stil doesn't work, but I don't know why

[Image Analyst]

This seems to work fine:

clc;    % Clear the command window.
fprintf('Beginning to run %s.m ...\n', mfilename);
close all;  % Close all figures (except those of imtool.)
clear;  % Erase all existing variables. Or clearvars if you want.
workspace;  % Make sure the workspace panel is showing.
format long g;
format compact;
fontSize = 18;
lineWidth = 3;
% se busca el directorio donde estan todas las imagenes a analizar
% imagenes1 = imageDatastore('C:\Users\mi-ck\OneDrive\Escritorio\clases_matlab\jorge\NORMAL_DCI\NORMAL_DCI');
imagenes1 = imageDatastore(fullfile(pwd, '*.png'));
% se prelocaliza la memoria de todas las variables que se utilizaran para
% guardar los datos del analisis
numImages = length(imagenes1.Files);
media = zeros(numImages,1);
desviacion = zeros(numImages,1);
entropia = zeros(numImages,1);
% se ejecuta un ciclo for donde se extraen las siguientes propiedades de
% cada imagen: media, desviacion estandar, entropia, contraste,
% correlacion, energia y homogeneidad
localBinary = zeros(numImages,10);
for i = 1: numImages
    imagen = readimage(imagenes1,i);
    [rows, columns, numberOfColorChannels] = size(imagen);
    if numberOfColorChannels == 3
        imagen = rgb2gray(imagen);
    end
    %imagenrecortada = imcrop(imagen,[130 109 670 600]);
    imshow(imagen, []);
    drawnow;
    media(i) = mean2(imagen);
    desviacion(i) = std2(double(imagen));
    entropia(i) = entropy(imagen);
    % Put GLCM measurements into a structure array.
    propiedades(i) = graycoprops(imagen);
    lbp = extractLBPFeatures(imagen,"Upright",false)
    %imshow(imcrop(imagen,[164 109 787 629]))
end