I need to change thess GUI codes to ordinary codes

Hello everyone

I have these 2 codes and I need a to change them to an ordinary script where input images are declared in the code itself and output is displayed on the commmand window

thank you

code 1:

function varargout = push(varargin)

gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @push_OpeningFcn, ...
                   'gui_OutputFcn',  @push_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

function push_OpeningFcn(hObject, eventdata, handles, varargin)

handles.pic='test1.jpg';

handles.output = hObject;
handles.pic='test1.jpg';

function varargout = push_OutputFcn(hObject, eventdata, handles) 

function pushbutton1_Callback(hObject, eventdata,handles)

%function pattmatch(k,p)
display('anish');
k=handles.XX;
p=handles.YY;
[x,y,z] = size(k);
if(z==1)
    ;
else
    k = rgb2gray(k);
end

[x,y,z] = size(p);
if(z==1)
    ;
else
    p = rgb2gray(p);
end

edge_det_k = edge(k,'prewitt');

edge_det_p = edge(p,'prewitt');

%definition of different variables to be used in the code below

%output variable if pictures have been matched.
OUTPUT_MESSAGE = '   almost same x-ray images ';

%output variable if objects in the whole picture have not been matched.
OUTPUT_MESSAGE2 = ' x-ray images not matching ';

%initialization of different variables used
matched_data = 0;
white_points = 0;
black_points = 0;
x=0;
y=0;
l=0;
m=0;

%for loop used for detecting black and white points in the picture.
for a = 1:1:300
    for b = 1:1:300
        if(edge_det_k(a,b)==1)
            white_points = white_points+1;
        else
            black_points = black_points+1;
        end
    end
end
display('testing');
%for loop comparing the white (edge points) in the two pictures
for i = 1:1:300
    for j = 1:1:300
        if(edge_det_k(i,j)==1)&(edge_det_p(i,j)==1)
            matched_data = matched_data+1;
            else
                ;
        end
    end
end

total_data = white_points;
total_matched_percentage = (matched_data/total_data)*100;

set(handles.result,'String',total_matched_percentage);

if(total_matched_percentage >= 85)          %can add flexability at this point by reducing the amount of matching.

      total_matched_percentage
      OUTPUT_MESSAGE
      display(OUTPUT_MESSAGE);
      set(handles.result1,'String',OUTPUT_MESSAGE);
  else

      total_matched_percentage
      OUTPUT_MESSAGE2
      display(OUTPUT_MESSAGE2);
      set(handles.result1,'String',OUTPUT_MESSAGE2);
  end

code 2:

function varargout = Compare(varargin)

gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @Compare_OpeningFcn, ...
                   'gui_OutputFcn',  @Compare_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

function Compare_OpeningFcn(hObject, eventdata, handles, varargin)

handles.output = hObject;

% Update handles structure
guidata(hObject, handles);

function varargout = Compare_OutputFcn(hObject, eventdata, handles) 

varargout{1} = handles.output;

function pushbutton1_Callback(hObject, eventdata, handles)

function pushbutton2_Callback(hObject, eventdata, handles)

function pushbutton1_KeyPressFcn(hObject, eventdata, handles)

function pushbutton1_ButtonDownFcn(hObject, eventdata, handles)

[FileName,PathName] = uigetfile('*.png','Select an image');
global I1;
I1 =imread(strcat(PathName,FileName));
axes(handles.axes1);
imshow(I1);

function pushbutton3_Callback(hObject, eventdata, handles)

function pushbutton4_Callback(hObject, eventdata, handles)

function pushbutton5_Callback(hObject, eventdata, handles)

function pushbutton6_Callback(hObject, eventdata, handles)

function pushbutton5_ButtonDownFcn(hObject, eventdata, handles)

[FileName,PathName] = uigetfile('*.png','Select an image');
global I2;
I2 =imread(strcat(PathName,FileName));
axes(handles.axes3);
imshow(I2);

function pushbutton6_ButtonDownFcn(hObject, eventdata, handles)

global I1;
global I2;
global I3;
global I4;
global I5;

%  convert images to type double (range from from 0 to 1 instead of from 0 to 255)
Imaged1 = im2double(I1);
Imaged2 = im2double(I2);
Imaged3 = im2double(I3);
Imaged4 = im2double(I4);
Imaged5 = im2double(I5);

% reduce three channel [ RGB ]  to one channel [ grayscale ]
Imageg1 = rgb2gray(Imaged1); 
Imageg2 = rgb2gray(Imaged2); 
Imageg3 = rgb2gray(Imaged3); 
Imageg4 = rgb2gray(Imaged4); 
Imageg5 = rgb2gray(Imaged5); 

% Calculate the Normalized Histogram of Image 1 and Image 2
hn1 = imhist(Imageg1)./numel(Imageg1); 
hn2 = imhist(Imageg2)./numel(Imageg2); 
hn3 = imhist(Imageg3)./numel(Imageg3); 
hn4 = imhist(Imageg4)./numel(Imageg4); 
hn5 = imhist(Imageg5)./numel(Imageg5); 

% Calculate the histogram error/ Difference
f1 = sum((hn1 - hn2).^2); 
f2 = sum((hn1 - hn3).^2); 
f3 = sum((hn1 - hn4).^2); 
f4 = sum((hn1 - hn5).^2); 

set(handles.text2,'String',f1)
set(handles.text3,'String',f2)
set(handles.text4,'String',f3)
set(handles.text5,'String',f4)

[FileName,PathName] = uigetfile('*.png','Select an image');
global I3;
I3 =imread(strcat(PathName,FileName));
axes(handles.axes4);
imshow(I3);

[FileName,PathName] = uigetfile('*.png','Select an image');
global I4;
I4 =imread(strcat(PathName,FileName));
axes(handles.axes5);
imshow(I4);

[FileName,PathName] = uigetfile('*.png','Select an image');
global I5;
I5 =imread(strcat(PathName,FileName));
axes(handles.axes6);
imshow(I5);