Matlab how to save a modified image from axes [closed] - matlab

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this is what i have so far
as you can see if i use save as i am using right now then i am saving the original image how would i save a modified image after applying one of the filters like black and white.
function varargout = testme(varargin)
% TESTME MATLAB code for testme.fig
% TESTME, by itself, creates a new TESTME or raises the existing
% singleton*.
%
% H = TESTME returns the handle to a new TESTME or the handle to
% the existing singleton*.
%
% TESTME('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in TESTME.M with the given input arguments.
%
% TESTME('Property','Value',...) creates a new TESTME or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before testme_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to testme_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 testme
% Last Modified by GUIDE v2.5 13-Oct-2014 13:17:45
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', #testme_OpeningFcn, ...
'gui_OutputFcn', #testme_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 testme is made visible.
function testme_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 testme (see VARARGIN)
% Choose default command line output for testme
handles.fileLoaded = 0;
handles.fileLoaded2 = 0;
%-----------------------------------------------------------------------
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes testme wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = testme_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 loadbutton.
function loadbutton_Callback(hObject, eventdata, handles)
% hObject handle to loadbutton (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global im im2
[path,user_cance]=imgetfile();
if user_cance
msgbox(sprintf('Error'),'Error','Error');
return
end
im=imread(path);
im=im2double(im); %converts to double
im2=im; %for backup process :)
axes(handles.axes1);
imshow(im);
axes(handles.axes2);
hist(im);
%-----------------------------------------------------------------------
% --- Executes on button press in resetbutton.
function resetbutton_Callback(hObject, eventdata, handles)
% hObject handle to resetbutton (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global im2
axes(handles.axes1);
imshow(im2);
axes(handles.axes2);
hist(im2);
% --- Executes on button press in negativebutton.
function negativebutton_Callback(hObject, eventdata, handles)
% hObject handle to negativebutton (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global im
imblack=im;
imblack=1-im;
axes(handles.axes1);
imshow(imblack);
axes(handles.axes2);
hist(imblack);
% --- Executes on button press in greybutton.
function greybutton_Callback(hObject, eventdata, handles)
% hObject handle to greybutton (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global im
imgray=(im(:,:,1)+im(:,:,2)+im(:,:,2))/3;
axes(handles.axes1);
imshow(imgray);
axes(handles.axes2);
hist(imgray);
% --- Executes on slider movement.
function slider1_Callback(hObject, eventdata, handles)
% hObject handle to slider1 (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,'Value') returns position of slider
% get(hObject,'Min') and get(hObject,'Max') to determine range of slider
global im2
val=0.5*get(hObject,'Value')-0.5;
imbright=im2+val;
axes(handles.axes1);
imshow(imbright);
axes(handles.axes2);
hist(imbright);
% --- Executes during object creation, after setting all properties.
function slider1_CreateFcn(hObject, eventdata, handles)
% hObject handle to slider1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: slider controls usually have a light gray background.
if isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor',[.9 .9 .9]);
end
% --- Executes on button press in savebutton.
function savebutton_Callback(hObject, eventdata, handles)
% hObject handle to savebutton (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
[file,path]=uiputfile({'*.bmp','BMP'},'Save Image As');
f=getframe(handles.axes1);
[x,map]=frame2im(f);
imwrite(x,fullfile(path, file),'bmp');
% --- Executes on button press in black.
function black_Callback(hObject, eventdata, handles)
% hObject handle to black (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
axes(handles.axes1);
global im
xb=im;
b=im2bw(xb);
imshow(b);

Answer 1

There are several ways to do this, but maybe a good way is to store the image (after applying a filter) in the figure's application data. You can do this with guidata.
After each filter you store the image;
% --- Executes on button press in black.
function black_Callback(hObject, eventdata, handles)
% hObject handle to black (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
axes(handles.axes1);
global im
xb=im;
b=im2bw(xb);
imshow(b);
% Store the image
handles.image = b;
guidata(hObject, handles);
Then in your savebutton_Callback, simply refer to handles.image;