GLCM feature extraction problem in matlab

I'm confused about the error. the result of its feature extraction cannot appear in uitable1, every time i run, get out matlab.graphics.internal.figfile.FigFile/read>@(hObject,eventdata)UASPCD('pushbutton2_Callback',hObject,eventdata,guidata(hObject))

Error while evaluating UIControl Callback.

[Image Analyst]

What line number is the error on?

I can't run an image. I can only run code. Attach the .fig and .m file, or at least give us the code for the pushbutton2 callback because no one is going to type all that stuff in just to help you. Make it easy for us to help you, not hard.

https://www.mathworks.com/matlabcentral/answers/6200-tutorial-how-to-ask-a-question-on-answers-and-get-a-fast-answer

[Erika Maulidiya]

sorry for my negligence in making a question that may be incomplete

[Erika Maulidiya]

okay, I will explain my problem, I use GLCM feature extraction in matlab using 4 features, namely contrast, correlation, energy and homogeneity. My progress has been to input the image and convert it to grayscale. but when I press the "GLCM" button there must be an error, the data doesn't want to come out in the table

[Erika Maulidiya]

[Erika Maulidiya]

Here is the code in pushbutton2 callback.

img = handles.img;
img_gray = rgb2gray(img);
axes(handles.axes2)
imshow(img_gray)
title('Grayscale Image')
pixel_dist = str2double(get(handles.edit2,'String'));
GLCM = graycomtrix(img_gray,'Offset',[0 pixel_dist;...
    -pixel pixel; -pixel 0; -pixel_dist pixel_dist]); 
stats = graycoprops(GLCM,{'Contrast','Correlation','Energy','Homogeneity'});
Contrast = stats.Contrast;
Correlation = stats.Correlation;
Energy = stats.Energy;
Homogeneity = stats.Homogeneity;

data = get(handles.uitbale1,'Data');
data{1,1} = num2str(Contrast(1));
data{1,2} = num2str(Contrast(2));
data{1,3} = num2str(Contrast(3));
data{1,4} = num2str(Contrast(4));
data{1,5} = num2str(mean(Contrast));

data{2,1} = num2str(Correlation(1));
data{2,2} = num2str(Correlation(2));
data{2,3} = num2str(Correlation(3));
data{2,4} = num2str(Correlation(4));
data{2,5} = num2str(mean(Correlation));

data{3,1} = num2str(Energy(1));
data{3,2} = num2str(Energy(2));
data{3,3} = num2str(Energy(3));
data{3,4} = num2str(Energy(4));
data{3,5} = num2str(mean(Energy));

data{4,1} = num2str(Homogeneity(1));
data{4,2} = num2str(Homogeneity(2));
data{4,3} = num2str(Homogeneity(3));
data{4,4} = num2str(Homogeneity(4));
data{4,5} = num2str(mean(Homogeneity));

set(handles.uitable1,'Data',data)

but I still get an error.

[Image Analyst]

What is the value of pixel_dist and pixel?

Do you have the code for your "graycomtrix" function? This is not a built-in function. Or did you just misspell graycomatrix()?

[Erika Maulidiya]

value of pixel_dist and pixel is 1

for my code graycomtirx, i copied some tutorials on youtube

[Image Analyst]

If you don't want to use the built-in graycomatrix() then attach your custom "graycomtirx" or "graycomtrix" or whatever you called or spelled it (or misspelled it). I can't run it unless you upload your custom code for that function. Is there any reason why you're using some YouTube version of graycomatrix() rather than the built-in version?

[Erika Maulidiya]

actually I don't understand and don't know whether graycomtrix is ​​the default code or what, and actually it's finished, but I want to add features, have you ever used features other than the ones I used? like entropy? or ASM or IDM? so where i can add this features in my code right know?

[Image Analyst]

I've used all kinds of features. There are a bazillion things you could potentially measure. You need to understand your image to know what kinds of things will be worth measuring.

Answer 1

[yanqi liu]

sir, may be some code write confuse，please check the follow

clear all; clc; close all;
img = imread('football.jpg');
img_gray = rgb2gray(img);
figure;
imshow(img_gray)
title('Grayscale Image')

pixel_dist = 2;
GLCM = graycomatrix(img_gray,'Offset',[0 pixel_dist;...
    -pixel_dist pixel_dist; -pixel_dist 0; -pixel_dist pixel_dist]); 
stats = graycoprops(GLCM,{'Contrast','Correlation','Energy','Homogeneity'});
Contrast = stats.Contrast;
Correlation = stats.Correlation;
Energy = stats.Energy;
Homogeneity = stats.Homogeneity;

data = [];
data{1,1} = num2str(Contrast(1));
data{1,2} = num2str(Contrast(2));
data{1,3} = num2str(Contrast(3));
data{1,4} = num2str(Contrast(4));
data{1,5} = num2str(mean(Contrast));

data{2,1} = num2str(Correlation(1));
data{2,2} = num2str(Correlation(2));
data{2,3} = num2str(Correlation(3));
data{2,4} = num2str(Correlation(4));
data{2,5} = num2str(mean(Correlation));

data{3,1} = num2str(Energy(1));
data{3,2} = num2str(Energy(2));
data{3,3} = num2str(Energy(3));
data{3,4} = num2str(Energy(4));
data{3,5} = num2str(mean(Energy));

data{4,1} = num2str(Homogeneity(1));
data{4,2} = num2str(Homogeneity(2));
data{4,3} = num2str(Homogeneity(3));
data{4,4} = num2str(Homogeneity(4));
data{4,5} = num2str(mean(Homogeneity));

% set(handles.uitable1,'Data',data)
data

data = 4×5 cell array
    {'0.3785' }    {'0.42167'}    {'0.41022'}    {'0.42167'}    {'0.40802'}
    {'0.86492'}    {'0.8505' }    {'0.85408'}    {'0.8505' }    {'0.855'  }
    {'0.21656'}    {'0.20997'}    {'0.20975'}    {'0.20997'}    {'0.21156'}
    {'0.86514'}    {'0.85481'}    {'0.85348'}    {'0.85481'}    {'0.85706'}

[Erika Maulidiya]

omg thank u so much :D

[Erika Maulidiya]

I want to add features, have you ever used features other than the ones I used? like entropy? or ASM or IDM? so where i can add this features in my code right know?

[yanqi liu]

yes，sir，the function graycomtrix may be a self define function，may be upload it to analysis