imageprocess.m

图像处理GUI代码

%        str2double(get(hObject,'String')) returns contents of lowpass_fh as a double
% set/get 函数是用来设置/获取某个控件属性
% 使用get命令获取第一个加数，并将它转换成数值
input = str2num(get(hObject,'String')); % string属性是字符串，所以必须转换成数值
% 检验输入是否为空，是则将它置为0
if (isempty(input))
     set(hObject,'String','50');
else
    d0 = str2num(get(handles.bocktor_fh,'String'));
    a1= handles.img;
    a2=double(a1);%巴特沃斯滤波开始
    a3=fft2(a2);
    a3=fftshift(a3);
    [N1,N2]=size(a3);
    n=2;
    n1=fix(N1/2);
    n2=fix(N2/2);
for i=1:N1
    for j=1:N2
        d=sqrt((i-n1)^2+(j-n2)^2);
        h=1/((1+d/d0)^(2*n));
        result1(i,j)=h*a3(i,j);
    end
end
result=ifftshift(result1);
g=ifft2(result);
g1=uint8(real(g));
figure;
subplot(1,2,1);
imshow(a1);
title('原始图像');
subplot(1,2,2);
imshow(g1);
title('巴特沃斯低通滤波后的图像');
end
guidata(hObject, handles);

% --- Executes during object creation, after setting all properties.
function bocktor_fh_CreateFcn(hObject, eventdata, handles)
% hObject    handle to lowpass_fh (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

%加入椒盐噪声，为后续维纳滤波恢复做准备%
function noisedense_Callback(hObject, eventdata, handles)
% hObject    handle to noisedense (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 noisedense as text
%        str2double(get(hObject,'String')) returns contents of noisedense as a double
input = str2num(get(hObject,'String')); % string属性是字符串，所以必须转换成数值
% 检验输入是否为空，是则将它置为0
a1=handles.img;
if (isempty(input))
     set(hObject,'String','0');
else
handles.noise.img=imnoise(a1,'salt',input);
n_img=handles.noise.img; 
figure;
subplot(1,2,1);
imshow(a1);
title('原始图像');
subplot(1,2,2);
imshow(n_img);
title('加盐噪声后的图像');
end
guidata(hObject, handles);

% --- Executes during object creation, after setting all properties.
function noisedense_CreateFcn(hObject, eventdata, handles)
% hObject    handle to noisedense (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

% --- Executes on button press in pushbutton9.
function pushbutton9_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton9 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on selection change in weaner_size.
function weaner_size_Callback(hObject, eventdata, handles)
% hObject    handle to weaner_size (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: contents = cellstr(get(hObject,'String')) returns weaner_size contents as cell array
%        contents{get(hObject,'Value')} returns selected item from weaner_size


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

% Hint: listbox 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


% --- Executes on selection change in popupmenu3.
function popupmenu3_Callback(hObject, eventdata, handles)
% hObject    handle to popupmenu3 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: contents = cellstr(get(hObject,'String')) returns popupmenu3 contents as cell array
%        contents{get(hObject,'Value')} returns selected item from popupmenu3


% --- Executes during object creation, after setting all properties.
function popupmenu3_CreateFcn(hObject, eventdata, handles)
% hObject    handle to popupmenu3 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: popupmenu 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


% --- Executes on selection change in popupmenu4.
function popupmenu4_Callback(hObject, eventdata, handles)
% hObject    handle to popupmenu4 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: contents = cellstr(get(hObject,'String')) returns popupmenu4 contents as cell array
%        contents{get(hObject,'Value')} returns selected item from popupmenu4


% --- Executes during object creation, after setting all properties.
function popupmenu4_CreateFcn(hObject, eventdata, handles)
% hObject    handle to popupmenu4 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: popupmenu 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

    %维纳滤波部分%
    %使用下拉菜单的形式选择维纳滤波窗口的大小%
% --- Executes on selection change in weanermenu.
function weanermenu_Callback(hObject, eventdata, handles)
% hObject    handle to weanermenu (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: contents = cellstr(get(hObject,'String')) returns weanermenu contents as cell array
%        contents{get(hObject,'Value')} returns selected item from weanermenu
value=get(hObject,'value');
n_img=handles.noise.img;
switch value
     case 1
      handles.weaner.img1=wiener2(n_img,[2 2]);
      figure;
      subplot(1,2,1);
      imshow(n_img);
      title('加椒盐噪声后的图像');
      subplot(1,2,2);
      imshow(handles.weaner.img1);
      title('维纳滤波恢复后的图像');
     case 2
      handles.weaner.img1=wiener2(n_img,[4 4]);  
      figure;
      subplot(1,2,1);
      imshow(n_img);
      title('加椒盐噪声后的图像');
      subplot(1,2,2);
      imshow(handles.weaner.img1);
      title('维纳滤波恢复后的图像');
     case 3
      handles.weaner.img1=wiener2(n_img,[6 6]); %维纳滤波
      figure;
      subplot(1,2,1);
      imshow(n_img);
      title('加椒盐噪声后的图像');
      subplot(1,2,2);
      imshow(handles.weaner.img1);
      title('维纳滤波恢复后的图像');
     case 4
      handles.weaner.img1=wiener2(n_img,[8 8]); 
     figure;
      subplot(1,2,1);
      imshow(n_img);
      title('加椒盐噪声后的图像');
      subplot(1,2,2);
      imshow(handles.weaner.img1);
      title('维纳滤波恢复后的图像');
     case 5
      handles.weaner.img1=wiener2(n_img,[10 10]); 
      figure;
      subplot(1,2,1);
      imshow(n_img);
      title('加椒盐噪声后的图像');
      subplot(1,2,2);
      imshow(handles.weaner.img1);
      title('维纳滤波恢复后的图像');
     case 6
      handles.weaner.img1=wiener2(n_img,[12 12]); 
      figure;
      subplot(1,2,1);
      imshow(n_img);
      title('加椒盐噪声后的图像');
      subplot(1,2,2);
      imshow(handles.weaner.img1);
      title('维纳滤波恢复后的图像');
     guidata(hObject, handles);     
end

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

% Hint: popupmenu 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

%中值滤波后图像的显示%
% --- Executes on button press in midfilter_run.
function midfilter_run_Callback(hObject, eventdata, handles)
% hObject    handle to midfilter_run (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
a1= handles.img;
n_img=handles.noise.img;
J0=handles.midfilter.img;
handles.weaner.img2=wiener2(J0,[10 10]);
J1=handles.weaner.img2;
figure;
subplot(2,2,1);
imshow(a1);
title('原始图像');
subplot(2,2,2);
imshow(n_img);
title('加椒盐噪声后的图像');
subplot(2,2,3);
imshow(J0);
title('中值滤波后的图像');
subplot(2,2,4);
imshow(J1);
title('维纳滤波后的图像');
guidata(hObject, handles);

%中值滤波部分%
%下拉菜单进行滤波窗口大小的选择，滤波后把图像存放在handles.midfilter.img中，供后续显示使用%
% --- Executes on selection change in midfilter_menu.
function midfilter_menu_Callback(hObject, eventdata, handles)
% hObject    handle to midfilter_menu (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: contents = cellstr(get(hObject,'String')) returns midfilter_menu contents as cell array
%        contents{get(hObject,'Value')} returns selected item from midfilter_menu
value=get(hObject,'value');
n_img=handles.noise.img;
switch value
     case 1
      handles.midfilter.img=medfilt2(n_img,[3 3]);
     case 2
      handles.midfilter.img=medfilt2(n_img,[5 5]);  
     case 3
      handles.midfilter.img=medfilt2(n_img,[9 9]);        
     case 4
      handles.midfilter.img=medfilt2(n_img,[11 11]);       
      guidata(hObject, handles);     
end

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

% Hint: popupmenu 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