Hi,
I created app designer. My app can open image file from computer. show user real and gray image. but now i am trying to use togglegroup button, i don't know how to use it. i did write code for all toggle code. I don't understand how to connect with togglebutton selection.
selectedButton = app.ImageProcessingFunctionsButtonGroup.SelectedObject;
if isempty(imgray)
warndlg('Please select Image!')
return;
end
I= imgray;
% a. Mean and Median filtering with different sizes of kernels.
% Users should be able to type the size of the kernel.
choice = questdlg('Which filter do you select?', ...
'Filter Select', ...
'Mean','Median','Median');
switch choice
case 'Mean'
prompt={'Enter a size of kernal'};
name = 'kernal size';
defaultans = {'3'};
options.Interpreter = 'tex';
answer = inputdlg(prompt,name,[1 40],defaultans,options);
if ~isempty(answer)
windowWidth=str2double(answer{1});
kernal = ones(windowWidth) / windowWidth ^2;
J = conv2(double(I),kernal);
str='Mean Filtered Image';
else
return;
end
case 'Median'
prompt={'Enter a sizes of kernals'};
name = 'kernal sizes';
defaultans = {'[3 3]'};
options.Interpreter = 'tex';
answer = inputdlg(prompt,name,[1 40],defaultans,options);
if ~isempty(answer)
mn=str2num(answer{1});
J = medfilt2(I,[mn(1) mn(2)]);
str='Median Filtered Image';
else
return;
end
end
if isempty(imgray)
warndlg('Please select Image!')
return;
end
I=imgray;
%% b. Automatic thresholding based on the image histogram:
% The application should automatically select a threshold using Otsu’s method
% and manual thresholding value and then display the resulting binary image.
choice = questdlg('Which thresholding method do you select?', ...
'Method Select', ...
'Automatic','Manual','Manual');
% Handle response
switch choice
case 'Automatic'
level = graythresh(I);
J = imbinarize(I,level);
str='Automatic Thresholding Value';
case 'Manual'
prompt={'Enter a sizes of thresholding value'};
name = 'thresholding value';
defaultans = {'0.5'};
options.Interpreter = 'tex';
answer = inputdlg(prompt,name,[1 40],defaultans,options);
if ~isempty(answer)
level=str2num(answer{1});
J = imbinarize(I,level);
str='Manual Thresholding Value';
else
return;
end
end
% --- Executes on button press in togglebutton3.
function togglebutton3_Callback(app,event)
if isempty(imgray)
warndlg('Please select Image!')
return;
end
I=imgray;
% c. Edge detection algorithms:
% Sobel, Prewitt, and Roberts edge with default kernels in Matlab.
choice = questdlg('Which edge detection algorithms do you select?', ...
'Edge detection select', ...
'Sobel','Prewitt','Roberts','Roberts');
switch choice
case 'Sobel'
J=edge(I,'sobel');
str='Sobel Edge Detection';
case 'Prewitt'
J=edge(I,'prewitt');
str='Prewitt Edge Detection';
case 'Roberts'
J=edge(I,'roberts');
str='Roberts Edge Detection';
end
% --- Executes on button press in togglebutton4.
function togglebutton4_Callback(app,eventdata)
% hObject handle to togglebutton4 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
if isempty(imgray)
warndlg('Please select Image!')
return;
end
I=handles.imgray;
% d. Region growing segmentation algorithm:
% Users should be able to select a single point using mouse.
reg_maxdist=0.2;
[x, y] = getpts;
J = regiongrowing(I,x,y,reg_maxdist);
str='Region growing segmentation';
end
% --- Executes on button press in togglebutton5.
function togglebutton5_Callback(app, eventdata)
% eventdata reserved - to be defined in a future version of MATLAB
if isempty(imgray)
warndlg('Please select Image!')
return;
end
I=imbinarize(imgray);
%e. Morphological operations: Dilation, erosion, opening, filling, thinning, etc.
choice = choosedialog;
se = strel('line', 8, 8);
if strcmp(choice,'Dilation')==1
J = imdilate(I, se);
str='Dilated Image';
elseif strcmp(choice,'erosion')==1
J = imerode(I, se);
str='Eroded Image';
elseif strcmp(choice,'opening')==1
J = imopen(I, se);
str='Opened Image';
elseif strcmp(choice,'filling')==1
J = imfill(I,[3 3],8);
str='Filled Image';
elseif strcmp(choice,'thinning')==1
J = bwmorph(I,'thin');
str='Thining Image';
end
