Berikut ini merupakan contoh aplikasi pemrograman gui matlab untuk analisis tekstur menggunakan metode Gray-Level Co-Occurrence Matrix (GLCM)

1. Gray-Level Co-Occurrence Matrix (GLCM) dengan pixel distance = 1

2. Gray-Level Co-Occurrence Matrix (GLCM) dengan pixel distance = 2

3. Gray-Level Co-Occurrence Matrix (GLCM) dengan pixel distance = 3

File source code lengkap beserta citra pada pemrograman di atas dapat diperoleh melalui halaman berikut ini:
Source Code

Sedangkan tampilan source code-nya adalah:

function varargout = Texture_Analysis(varargin)
% TEXTURE_ANALYSIS MATLAB code for Texture_Analysis.fig
%      TEXTURE_ANALYSIS, by itself, creates a new TEXTURE_ANALYSIS or raises the existing
%      singleton*.
%
%      H = TEXTURE_ANALYSIS returns the handle to a new TEXTURE_ANALYSIS or the handle to
%      the existing singleton*.
%
%      TEXTURE_ANALYSIS('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in TEXTURE_ANALYSIS.M with the given input arguments.
%
%      TEXTURE_ANALYSIS('Property','Value',...) creates a new TEXTURE_ANALYSIS or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before Texture_Analysis_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to Texture_Analysis_OpeningFcn via varargin.
%
%      *See GUI Options on GUIDE's Tools menu.  Choose "GUI allows only one
%      instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES

% Edit the above text to modify the response to help Texture_Analysis

% Last Modified by GUIDE v2.5 11-Aug-2015 10:46:06

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @Texture_Analysis_OpeningFcn, ...
                   'gui_OutputFcn',  @Texture_Analysis_OutputFcn, ...
                   'gui_LayoutFcn',  [] , ...
                   'gui_Callback',   []);
if nargin && ischar(varargin{1})
    gui_State.gui_Callback = str2func(varargin{1});
end

if nargout
    [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
    gui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT

% --- Executes just before Texture_Analysis is made visible.
function Texture_Analysis_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject    handle to figure
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
% varargin   command line arguments to Texture_Analysis (see VARARGIN)

% Choose default command line output for Texture_Analysis
handles.output = hObject;

% Update handles structure
guidata(hObject, handles);
movegui(hObject,'center');

% UIWAIT makes Texture_Analysis wait for user response (see UIRESUME)
% uiwait(handles.figure1);

% --- Outputs from this function are returned to the command line.
function varargout = Texture_Analysis_OutputFcn(hObject, eventdata, handles)
% varargout  cell array for returning output args (see VARARGOUT);
% hObject    handle to figure
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Get default command line output from handles structure
varargout{1} = handles.output;

% --- Executes on button press in pushbutton1.
function pushbutton1_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
[filename,pathname] = uigetfile({'*.*'});

if ~isequal(filename,0)
    Info = imfinfo(fullfile(pathname,filename));
    if Info.BitDepth == 1
        msgbox('Citra masukan harus citra RGB atau Grayscale');
        return
    elseif Info.BitDepth == 8
        Img = imread(fullfile(pathname,filename));
        axes(handles.axes1)
        cla('reset')
        imshow(Img)
        title('Grayscale Image')
    else
        Img = rgb2gray(imread(fullfile(pathname,filename)));
        axes(handles.axes1)
        cla('reset')
        imshow(Img)
        title('Grayscale Image')
    end
else
    return
end

handles.Img = Img;
guidata(hObject,handles);

% --- Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton2 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
Img = handles.Img;
pixel_dist = str2double(get(handles.edit1,'String'));
GLCM = graycomatrix(Img,'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 = get(handles.uitable1,'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,'ForegroundColor',[0 0 0])

function edit1_Callback(hObject, eventdata, handles)
% hObject    handle to edit1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of edit1 as text
%        str2double(get(hObject,'String')) returns contents of edit1 as a double

% --- Executes during object creation, after setting all properties.
function edit1_CreateFcn(hObject, eventdata, handles)
% hObject    handle to edit1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor','white');
end

Materi lain mengenai pengenalan pola tekstur di antaranya adalah:
1. Algoritma k-means clustering dan Naive Bayes classifier untuk Pengenalan Pola Tesktur
2. Segmentasi Pola Tekstur menggunakan Filter Gabor

Tutorial pembuatan aplikasi GUI MATLAB untuk analisis tekstur menggunakan metode Gray-Level Co-Occurrence Matrix (GLCM) bisa dilihat pada video berikut ini: