Image fusion based on MATLAB GUI Laplacian pyramid + wavelet transform +NSCT image fusion

function varargout = MainForm(varargin)
% MAINFORM MATLAB code for MainForm.fig
%      MAINFORM, by itself, creates a new MAINFORM or raises the existing
%      singleton*.
%
%      H = MAINFORM returns the handle to a new MAINFORM or the handle to
%      the existing singleton*.
%
%      MAINFORM('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in MAINFORM.M with the given input arguments.
%
%      MAINFORM('Property'.'Value',...). creates anew MAINFORM or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before MainForm_OpeningFcn gets called.  An
%      unrecognized property name orinvalid value makes property application % stop. All inputs are passed to MainForm_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 MainForm

% Last Modified by GUIDE v2. 5 01-May- 2021. 22:52:25

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @MainForm_OpeningFcn, ...
                   'gui_OutputFcn',  @MainForm_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 MainForm is made visible.
function MainForm_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 MainForm (see VARARGIN)

% Choose default command line output for MainForm
handles.output = hObject;
clc; 
axes(handles.axes1); cla reset; box on; set(gca, 'XTickLabel'.'a', 'YTickLabel'."); axes(handles.axes2); cla reset; box on; set(gca, 'XTickLabel'.'a', 'YTickLabel'."); axes(handles.axes3); cla reset; box on; set(gca, 'XTickLabel'.'a', 'YTickLabel'."); % Update handles structure guidata(hObject, handles); % UIWAIT makes MainForm wait for user response (see UIRESUME) % uiwait(handles.figure1); % --- Outputs from this function are returned to the command line. function varargout = MainForm_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) clc; axes(handles.axes1); cla reset; box on; set(gca, 'XTickLabel'.'a', 'YTickLabel'."); axes(handles.axes2); cla reset; box on; set(gca, 'XTickLabel'.'a', 'YTickLabel'."); axes(handles.axes3); cla reset; box on; set(gca, 'XTickLabel'.'a', 'YTickLabel'."); handles.file1 = []; handles.file2 = []; handles.result = []; [filename, pathname] = uigetfile({'*.jpg; *.bmp; *.tif; *.png; *.gif'.'All Image Files'; .'*. *'.'All Files' }, 'Select image 1'. fullfile(pwd,'images\\ experimental image 1\\a. if'));
if isequal(filename, 0)
    return;
end
handles.file1 = fullfile(pathname, filename);
Img1=imread(fullfile(pathname, filename));
% I=rgb2gray(Img);
% Img1 = imresize(I,[240.320]);
axes(handles.axes1); 
imshow(Img1, []);
handles.Img1 =Img1 ;
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)
[filename, pathname] = uigetfile({'*.jpg; *.bmp; *.tif; *.png; *.gif'.'All Image Files'; .'*. *'.'All Files' }, 'Select image 2'. fullfile(pwd,'images\\ experimental image 1\\ b.if '));
if isequal(filename, 0)
    return;
end
handles.file2 = fullfile(pathname, filename);

Img2 =imread(fullfile(pathname, filename));
axes(handles.axes2);
imshow(Img2, []);
handles.Img2 =Img2 ;
guidata(hObject, handles);
% --- Executes on button press in pushbutton3.
function pushbutton3_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton3 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)%% Wavelet transform algorithm imA= handles.Img1;
imB = handles.Img2;
M1 = double(imA) / 256;
M2 = double(imB) / 256;
zt = 2;
wtype = 'haar';
[c0, s0] = Wave_Decompose(M1, zt, wtype);
[c1, s1] = Wave_Decompose(M2, zt, wtype);
Coef_Fusion = Fuse_Process(c0, c1, s0, s1);
Y = Wave_Reconstruct(Coef_Fusion, s0, wtype);
handles.result = im2uint8(mat2gray(Y));
guidata(hObject, handles);
msgbox('Wavelet fusion processing completed! '.'Prompt message'.'modal');
% if isempty(handles.result)
%     msgbox('Please fill! '.'Prompt message'.'modal');
%     return;
% end
axes(handles.axes3); 
imshow(handles.result, []);
title('Result of wavelet transform fusion')
% --- Executes on button press in pushbutton4.
function pushbutton4_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton4 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)Laplacian pyramid algorithmaddpath('./ Laplacian pyramid image fusion ')
imA = handles.Img1;
imB = handles.Img2;
% im1 = double(imA) / 256;
% im2= double(imB) / 256;
im1 = double(imA);
im2 = double(imB); %% % Laplacian filter w = [1 4 6 4 1; 4 16 24 16 4; 6 24 36 24 6; 4 16 24 16 4; 1 4 6 4 1] /256;
G = cell(1.5);
H = cell(1.5);
I = cell(1.5);
G{1} = im1; % The first layer is the original image H{1} = im2;
function Y = Wave_Reconstruct(Coef_Fusion, s, wtype)

if nargin < 3
   
end

Y = waverec2(Coef_Fusion, s, wtype);
KK = size(c1);
Coef_Fusion = zeros(1, KK(2));
Coef_Fusion(1:s1(1.1)*s1(1.2)) = (c0(1:s1(1.1)*s1(1.2))+c1(1:s1(1.1)*s1(1.2))) /2; 
MM1 = c0(s1(1.1)*s1(1.2) +1:KK(2));
MM2 = c1(s1(1.1)*s1(1.2) +1:KK(2));
mm = (abs(MM1)) > (abs(MM2));
Y  = (mm.*MM1) + ((~mm).*MM2);
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Version: 2014 Have questions or need private message