when i run this code i found errors . plz help me to solve it

function varargout = ImageReader(varargin)
% ImageReader MATLAB code for ImageReader.fig
% ImageReader, by itself, creates a new ImageReader or raises the existing
% singleton*.
%
% H = ImageReader returns the handle to a new ImageReader or the handle to
% the existing singleton*.
%
% ImageReader('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in ImageReader.M with the given input arguments.
%
% ImageReader('Property','Value',...) creates a new ImageReader or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before ImageReader_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to ImageReader_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 ImageReader
% Last Modified by GUIDE v2.5 28-Apr-2018 19:52:09
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @ImageReader_OpeningFcn, ...
'gui_OutputFcn', @ImageReader_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 ImageReader is made visible.
function ImageReader_OpeningFcn(hObject, ~, 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 ImageReader (see VARARGIN)
% Choose default command line output for ImageReader
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes ImageReader wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = ImageReader_OutputFcn(~, ~, 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;
function recognizedText_Callback(hObject, ~, ~)
% hObject handle to recognizedText (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 recognizedText as text
% str2double(get(hObject,'String')) returns contents of recognizedText as a double
get(hObject,'String');
% --- Executes during object creation, after setting all properties.
function recognizedText_CreateFcn(hObject, ~, ~)
% hObject handle to recognizedText (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 preprocessing.
function preprocessing_Callback(hObject, ~, handles)
% hObject handle to preprocessing (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Input Image
originalImage = handles.originalImage;
% Show image
imshow(originalImage,'parent',handles.axes1);
% Convert to binary image
threshold = graythresh(originalImage);
binaryImage =~im2bw(originalImage,threshold);
% Remove all object containing fewer than 30 pixels
moddedImage = bwareaopen(binaryImage,30);
pause(1)
% Show image binary image
imshow(~moddedImage,'parent',handles.axes3);
% Label connected components
[L,Ne]=bwlabel(moddedImage);
% Measure properties of image regions
propied=regionprops(L,'BoundingBox');
hold on
% Plot Bounding Box
for n=1:size(propied,1)
rectangle('Position',propied(n).BoundingBox,'EdgeColor','g','LineWidth',2)
end
hold off
pause (1)
% Image Segmentation
for n=1:Ne
[r,c] = find(L==n);
n1=moddedImage(min(r):max(r),min(c):max(c));
n1 = imgaussfilt(im2double(n1),1);
n1 = padarray(imresize(n1,[20 20],'bicubic'),[4 4],0,'both');
fullFileName = fullfile('segmentedImages', sprintf('image%d.png', n));
imwrite(n1, fullFileName);
pause(1)
end
handles.Ne=Ne;
guidata(hObject,handles);
% --- Executes on button press in trainNetwork.
function trainNetwork_Callback(hObject, ~, handles)
% hObject handle to trainNetwork (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
load('network.mat');
Ne=handles.Ne;
for i=1:Ne
segImage=reshape(double(imread(fullfile('segmentedImages', sprintf('image%d.png', i)))) , 784, 1);
outputMatrix=net(segImage);
row=find(ismember(outputMatrix, max(outputMatrix(:))));
rowMatrix(i,1)=row;
end
handles.rowMatrix=rowMatrix;
guidata(hObject,handles);
% --- Executes on button press in recognition.
function recognition_Callback(hObject, ~, handles)
% hObject handle to recognition (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
%handles = guidata(hObject);
for i=1:handles.Ne
detectedWord(1,i)=imageLabeler(handles.rowMatrix(i,1));
end
%detectedText=fprintf('Detected Text: %s\n',detectedWord);
handles.detectedWord=detectedWord;
set(handles.recognizedText, 'String', detectedWord);
guidata(hObject,handles);
% --- Executes on button press in exit.
function exit_Callback(~, ~, ~)
% hObject handle to exit (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
user_response = modaldlg('Title','Confirm Close');
switch user_response
case 'No'
% take no action
case 'Yes'
% Prepare to close application window
delete(ImageReader)
end
% --- Executes on button press in selectImage.
function selectImage_Callback(hObject, ~, handles)
% hObject handle to selectImage (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({'*.png';'*.jpg';'*.bmp';'*.jpeg'},'Select an Image');
if isequal(filename,0) || isequal(pathname,0)
uiwait(msgbox('User Pressed Cancel','failed','modal'))
[~,~]= uigetfile({'*.png';'*.jpg';'*.bmp';'*.jpeg'},'Select an Image');
hold off;
else
uiwait(msgbox('Image added Successfully','success','modal'))
hold off;
originalImagePath= strcat(pathname,filename);
originalImage = imread(originalImagePath);
imshow(originalImage,'Parent',handles.axes1)
end
handles.originalImage = originalImage;
guidata(hObject,handles);
ERROR:
Reference to non-existent field 'Ne'.
Error in ImageReader>trainNetwork_Callback (line 148)
Ne=handles.Ne;
Error in gui_mainfcn (line 95)
feval(varargin{:});
Error in ImageReader (line 42)
gui_mainfcn(gui_State, varargin{:});
Error in
matlab.graphics.internal.figfile.FigFile/read>@(hObject,eventdata)ImageReader('trainNetwork_Callback',hObject,eventdata,guidata(hObject))
Error while evaluating UIControl Callback.

Respuestas (3)

You did not run the preprocessing callback before proceeding.
In general it is a good idea to design GUI so that buttons cannot be pressed until the conditions are set up for them to be able to run. This involves using the OpenFcn callback to set the button Enable property to 'inactive' or even 'off' . Then when an earlier step makes it legal to perform a later step, the earlier step should set the button Enable property to 'on'
But in the meantime.. just make sure you run the preprocessing. And maybe add
if hasfield(handles, 'Ne')
before accessing handles.Ne

13 comentarios

It does not working can you give me other alternativas?
It is for all errors
Yes, I can give another alternative.
function ImageReader_OpeningFcn(hObject, ~, 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 ImageReader (see VARARGIN)
% Choose default command line output for ImageReader
handles.output = hObject;
handles.Ne = [];
% Update handles structure
guidata(hObject, handles);
This will prevent the code from crashing because handles.Ne is not defined. The code might crash because handles.Ne is empty, but that is a different matter.
it will give this many errors
Unrecognized function or variable 'rowMatrix'.
Error in ImageReader>trainNetwork_Callback (line 157)
handles.rowMatrix=rowMatrix;
Error in gui_mainfcn (line 95)
feval(varargin{:});
Error in ImageReader (line 42)
gui_mainfcn(gui_State, varargin{:});
Error in
matlab.graphics.internal.figfile.FigFile/read>@(hObject,eventdata)ImageReader('trainNetwork_Callback',hObject,eventdata,guidata(hObject))
Error using imwrite (line 536)
Error while evaluating UIControl Callback.
Error using imwrite (line 541)
Unable to open file "segmentedImages\image1.png" for writing. You might not have write permission.
Error in ImageReader>preprocessing_Callback (line 136)
imwrite(n1, fullFileName);
Error in gui_mainfcn (line 95)
feval(varargin{:});
Error in ImageReader (line 42)
gui_mainfcn(gui_State, varargin{:});
function ImageReader_OpeningFcn(hObject, ~, 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 ImageReader (see VARARGIN)
% Choose default command line output for ImageReader
handles.output = hObject;
handles.Ne = [];
handles.rowMatrix = [];
% Update handles structure
guidata(hObject, handles);
function preprocessing_Callback(hObject, ~, handles)
% hObject handle to preprocessing (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Input Image
originalImage = handles.originalImage;
% Show image
imshow(originalImage,'parent',handles.axes1);
% Convert to binary image
threshold = graythresh(originalImage);
binaryImage =~im2bw(originalImage,threshold);
% Remove all object containing fewer than 30 pixels
moddedImage = bwareaopen(binaryImage,30);
pause(1)
% Show image binary image
imshow(~moddedImage,'parent',handles.axes3);
% Label connected components
[L,Ne]=bwlabel(moddedImage);
if isempty(Ne) || Ne == 0
errordlg('filtered binary image is empty');
return
end
% Measure properties of image regions
propied=regionprops(L,'BoundingBox');
hold on
% Plot Bounding Box
for n=1:size(propied,1)
rectangle('Position',propied(n).BoundingBox,'EdgeColor','g','LineWidth',2)
end
hold off
pause (1)
% Image Segmentation
for n=1:Ne
[r,c] = find(L==n);
n1=moddedImage(min(r):max(r),min(c):max(c));
n1 = imgaussfilt(im2double(n1),1);
n1 = padarray(imresize(n1,[20 20],'bicubic'),[4 4],0,'both');
fullFileName = fullfile('segmentedImages', sprintf('image%d.png', n));
imwrite(n1, fullFileName);
pause(1)
end
handles.Ne=Ne;
guidata(hObject,handles);
% --- Executes on button press in trainNetwork.
function trainNetwork_Callback(hObject, ~, handles)
% hObject handle to trainNetwork (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
if ~hasfield(handles, 'Ne') || isempty(handles.Ne)
errordlg('You did not run Preprocessing yet');
return
end
load('network.mat');
Ne=handles.Ne;
rowMatrix = zeros(Ne,1);
for i=1:Ne
segImage=reshape(double(imread(fullfile('segmentedImages', sprintf('image%d.png', i)))) , 784, 1);
outputMatrix=net(segImage);
row=find(ismember(outputMatrix, max(outputMatrix(:))));
rowMatrix(i,1)=row;
end
handles.rowMatrix=rowMatrix;
guidata(hObject,handles);
% --- Executes on button press in recognition.
function recognition_Callback(hObject, ~, handles)
% hObject handle to recognition (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
%handles = guidata(hObject);
if ~hasfield(handles, 'Ne') || isempty(handles.Ne)
errordlg('You did not run Preprocessing yet');
return
end
if ~hasfield(handles, 'rowMatrix') || isempty(handles.rowMatrix)
errordlg('You did not run training yet');
return
end
for i=1:handles.Ne
detectedWord(1,i)=imageLabeler(handles.rowMatrix(i,1));
end
%detectedText=fprintf('Detected Text: %s\n',detectedWord);
handles.detectedWord=detectedWord;
set(handles.recognizedText, 'String', detectedWord);
guidata(hObject,handles);
thank you .
but in when i run it give me error
Not enough input arguments.
Error in ImageReader (line 8)
handles.output = hObject;
Sigh.
function varargout = ImageReader(varargin)
% ImageReader MATLAB code for ImageReader.fig
% ImageReader, by itself, creates a new ImageReader or raises the existing
% singleton*.
%
% H = ImageReader returns the handle to a new ImageReader or the handle to
% the existing singleton*.
%
% ImageReader('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in ImageReader.M with the given input arguments.
%
% ImageReader('Property','Value',...) creates a new ImageReader or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before ImageReader_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to ImageReader_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 ImageReader
% Last Modified by GUIDE v2.5 28-Apr-2018 19:52:09
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @ImageReader_OpeningFcn, ...
'gui_OutputFcn', @ImageReader_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 ImageReader is made visible.
function ImageReader_OpeningFcn(hObject, ~, 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 ImageReader (see VARARGIN)
% Choose default command line output for ImageReader
handles.output = hObject;
handles.Ne = [];
handles.rowMatrix = [];
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes ImageReader wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = ImageReader_OutputFcn(~, ~, 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;
function recognizedText_Callback(hObject, ~, ~)
% hObject handle to recognizedText (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 recognizedText as text
% str2double(get(hObject,'String')) returns contents of recognizedText as a double
get(hObject,'String');
% --- Executes during object creation, after setting all properties.
function recognizedText_CreateFcn(hObject, ~, ~)
% hObject handle to recognizedText (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 preprocessing.
function preprocessing_Callback(hObject, ~, handles)
% hObject handle to preprocessing (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Input Image
originalImage = handles.originalImage;
% Show image
imshow(originalImage,'parent',handles.axes1);
% Convert to binary image
threshold = graythresh(originalImage);
binaryImage =~im2bw(originalImage,threshold);
% Remove all object containing fewer than 30 pixels
moddedImage = bwareaopen(binaryImage,30);
pause(1)
% Show image binary image
imshow(~moddedImage,'parent',handles.axes3);
% Label connected components
[L,Ne]=bwlabel(moddedImage);
if isempty(Ne) || Ne == 0
errordlg('filtered binary image is empty');
return
end
% Measure properties of image regions
propied=regionprops(L,'BoundingBox');
hold on
% Plot Bounding Box
for n=1:size(propied,1)
rectangle('Position',propied(n).BoundingBox,'EdgeColor','g','LineWidth',2)
end
hold off
pause (1)
% Image Segmentation
for n=1:Ne
[r,c] = find(L==n);
n1=moddedImage(min(r):max(r),min(c):max(c));
n1 = imgaussfilt(im2double(n1),1);
n1 = padarray(imresize(n1,[20 20],'bicubic'),[4 4],0,'both');
fullFileName = fullfile('segmentedImages', sprintf('image%d.png', n));
imwrite(n1, fullFileName);
pause(1)
end
handles.Ne=Ne;
guidata(hObject,handles);
% --- Executes on button press in trainNetwork.
function trainNetwork_Callback(hObject, ~, handles)
% hObject handle to trainNetwork (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
if ~hasfield(handles, 'Ne') || isempty(handles.Ne)
errordlg('You did not run Preprocessing yet');
return
end
load('network.mat');
Ne=handles.Ne;
rowMatrix = zeros(Ne,1);
for i=1:Ne
segImage=reshape(double(imread(fullfile('segmentedImages', sprintf('image%d.png', i)))) , 784, 1);
outputMatrix=net(segImage);
row=find(ismember(outputMatrix, max(outputMatrix(:))));
rowMatrix(i,1)=row;
end
handles.rowMatrix=rowMatrix;
guidata(hObject,handles);
% --- Executes on button press in recognition.
function recognition_Callback(hObject, ~, handles)
% hObject handle to recognition (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
%handles = guidata(hObject);
if ~hasfield(handles, 'Ne') || isempty(handles.Ne)
errordlg('You did not run Preprocessing yet');
return
end
if ~hasfield(handles, 'rowMatrix') || isempty(handles.rowMatrix)
errordlg('You did not run training yet');
return
end
for i=1:handles.Ne
detectedWord(1,i)=imageLabeler(handles.rowMatrix(i,1));
end
%detectedText=fprintf('Detected Text: %s\n',detectedWord);
handles.detectedWord=detectedWord;
set(handles.recognizedText, 'String', detectedWord);
guidata(hObject,handles);
% --- Executes on button press in exit.
function exit_Callback(~, ~, ~)
% hObject handle to exit (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
user_response = modaldlg('Title','Confirm Close');
switch user_response
case 'No'
% take no action
case 'Yes'
% Prepare to close application window
delete(ImageReader)
end
% --- Executes on button press in selectImage.
function selectImage_Callback(hObject, ~, handles)
% hObject handle to selectImage (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({'*.png';'*.jpg';'*.bmp';'*.jpeg'},'Select an Image');
if isequal(filename,0) || isequal(pathname,0)
uiwait(msgbox('User Pressed Cancel','failed','modal'))
[~,~]= uigetfile({'*.png';'*.jpg';'*.bmp';'*.jpeg'},'Select an Image');
hold off;
else
uiwait(msgbox('Image added Successfully','success','modal'))
hold off;
originalImagePath= strcat(pathname,filename);
originalImage = imread(originalImagePath);
imshow(originalImage,'Parent',handles.axes1)
end
handles.originalImage = originalImage;
handles.Ne = [];
handles.rowMatrix = [];
guidata(hObject,handles);
it also give that much error.
is that any error in my neural network ???
if yes. can you tell me or teach me how to train it...
Check for missing argument or incorrect argument data type in call to function 'hasfield'.
Error in ImageReader>trainNetwork_Callback (line 149)
if ~hasfield(handles, 'Ne') || isempty(handles.Ne)
Error in gui_mainfcn (line 95)
feval(varargin{:});
Error in ImageReader (line 42)
gui_mainfcn(gui_State, varargin{:});
Error in
matlab.graphics.internal.figfile.FigFile/read>@(hObject,eventdata)ImageReader('trainNetwork_Callback',hObject,eventdata,guidata(hObject))
Error using imwrite (line 536)
Error while evaluating UIControl Callback.
Error using imwrite (line 541)
Unable to open file "segmentedImages\image1.png" for writing. You might not have write permission.
Error in ImageReader>preprocessing_Callback (line 138)
imwrite(n1, fullFileName);
Error in gui_mainfcn (line 95)
feval(varargin{:});
Error in ImageReader (line 42)
gui_mainfcn(gui_State, varargin{:});
Error in
matlab.graphics.internal.figfile.FigFile/read>@(hObject,eventdata)ImageReader('preprocessing_Callback',hObject,eventdata,guidata(hObject))
Error while evaluating UIControl Callback.
function varargout = ImageReader(varargin)
% ImageReader MATLAB code for ImageReader.fig
% ImageReader, by itself, creates a new ImageReader or raises the existing
% singleton*.
%
% H = ImageReader returns the handle to a new ImageReader or the handle to
% the existing singleton*.
%
% ImageReader('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in ImageReader.M with the given input arguments.
%
% ImageReader('Property','Value',...) creates a new ImageReader or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before ImageReader_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to ImageReader_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 ImageReader
% Last Modified by GUIDE v2.5 28-Apr-2018 19:52:09
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @ImageReader_OpeningFcn, ...
'gui_OutputFcn', @ImageReader_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 ImageReader is made visible.
function ImageReader_OpeningFcn(hObject, ~, 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 ImageReader (see VARARGIN)
% Choose default command line output for ImageReader
handles.output = hObject;
handles.Ne = [];
handles.rowMatrix = [];
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes ImageReader wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = ImageReader_OutputFcn(~, ~, 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;
function recognizedText_Callback(hObject, ~, ~)
% hObject handle to recognizedText (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 recognizedText as text
% str2double(get(hObject,'String')) returns contents of recognizedText as a double
get(hObject,'String');
% --- Executes during object creation, after setting all properties.
function recognizedText_CreateFcn(hObject, ~, ~)
% hObject handle to recognizedText (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 preprocessing.
function preprocessing_Callback(hObject, ~, handles)
% hObject handle to preprocessing (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Input Image
originalImage = handles.originalImage;
% Show image
imshow(originalImage,'parent',handles.axes1);
% Convert to binary image
threshold = graythresh(originalImage);
binaryImage =~im2bw(originalImage,threshold);
% Remove all object containing fewer than 30 pixels
moddedImage = bwareaopen(binaryImage,30);
pause(1)
% Show image binary image
imshow(~moddedImage,'parent',handles.axes3);
% Label connected components
[L,Ne]=bwlabel(moddedImage);
if isempty(Ne) || Ne == 0
errordlg('filtered binary image is empty');
return
end
% Measure properties of image regions
propied=regionprops(L,'BoundingBox');
hold on
% Plot Bounding Box
for n=1:size(propied,1)
rectangle('Position',propied(n).BoundingBox,'EdgeColor','g','LineWidth',2)
end
hold off
pause (1)
% Image Segmentation
for n=1:Ne
[r,c] = find(L==n);
n1=moddedImage(min(r):max(r),min(c):max(c));
n1 = imgaussfilt(im2double(n1),1);
n1 = padarray(imresize(n1,[20 20],'bicubic'),[4 4],0,'both');
fullFileName = fullfile('segmentedImages', sprintf('image%d.png', n));
imwrite(n1, fullFileName);
pause(1)
end
handles.Ne=Ne;
guidata(hObject,handles);
% --- Executes on button press in trainNetwork.
function trainNetwork_Callback(hObject, ~, handles)
% hObject handle to trainNetwork (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
if ~isfield(handles, 'Ne') || isempty(handles.Ne)
errordlg('You did not run Preprocessing yet');
return
end
load('network.mat');
Ne=handles.Ne;
rowMatrix = zeros(Ne,1);
for i=1:Ne
segImage=reshape(double(imread(fullfile('segmentedImages', sprintf('image%d.png', i)))) , 784, 1);
outputMatrix=net(segImage);
row=find(ismember(outputMatrix, max(outputMatrix(:))));
rowMatrix(i,1)=row;
end
handles.rowMatrix=rowMatrix;
guidata(hObject,handles);
% --- Executes on button press in recognition.
function recognition_Callback(hObject, ~, handles)
% hObject handle to recognition (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
%handles = guidata(hObject);
if ~isfield(handles, 'Ne') || isempty(handles.Ne)
errordlg('You did not run Preprocessing yet');
return
end
if ~isfield(handles, 'rowMatrix') || isempty(handles.rowMatrix)
errordlg('You did not run training yet');
return
end
for i=1:handles.Ne
detectedWord(1,i)=imageLabeler(handles.rowMatrix(i,1));
end
%detectedText=fprintf('Detected Text: %s\n',detectedWord);
handles.detectedWord=detectedWord;
set(handles.recognizedText, 'String', detectedWord);
guidata(hObject,handles);
% --- Executes on button press in exit.
function exit_Callback(~, ~, ~)
% hObject handle to exit (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
user_response = modaldlg('Title','Confirm Close');
switch user_response
case 'No'
% take no action
case 'Yes'
% Prepare to close application window
delete(ImageReader)
end
% --- Executes on button press in selectImage.
function selectImage_Callback(hObject, ~, handles)
% hObject handle to selectImage (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({'*.png';'*.jpg';'*.bmp';'*.jpeg'},'Select an Image');
if isequal(filename,0) || isequal(pathname,0)
uiwait(msgbox('User Pressed Cancel','failed','modal'))
[~,~]= uigetfile({'*.png';'*.jpg';'*.bmp';'*.jpeg'},'Select an Image');
hold off;
else
uiwait(msgbox('Image added Successfully','success','modal'))
hold off;
originalImagePath= strcat(pathname,filename);
originalImage = imread(originalImagePath);
imshow(originalImage,'Parent',handles.axes1)
end
handles.originalImage = originalImage;
handles.Ne = [];
handles.rowMatrix = [];
guidata(hObject,handles);
I have attached a more robust version of your ImageReader()
However, you have a problem in your code.
You go through the training phase, and for each detected image, you use the net to predict a class number according to the maximum probability. Unfortunately in this code, we have no key, no mapping between what the class numbers are and what input character it corresponds to.
You then take the class numbers and do
for i=1:handles.Ne
detectedWord(1,i)=imageLabeler(handles.rowMatrix(i,1));
end
so you are passing one scalar double into imageLabeler(). However, imageLabeler() must be passed a directory name or else an imageDatastore, and imageLabeler is not able to return any value.
You need to fix what you do about imageLabeler.
AKSHAT PATEL
AKSHAT PATEL el 30 de Jun. de 2021
Editada: Walter Roberson el 30 de Jun. de 2021
for i=1:handles.Ne
detectedWord(1,i)=imageLabeler(handles.rowMatrix(i,1));
end
where i can put this code specifically
AKSHAT PATEL
AKSHAT PATEL el 30 de Jun. de 2021
Editada: AKSHAT PATEL el 30 de Jun. de 2021
sorry its running. thank you for solving me this error .
Perhaps you have a different imageLabeler() function ? The MATLAB one, https://www.mathworks.com/help/vision/ref/imagelabeler-app.html cannot be called like that.

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AKSHAT PATEL
AKSHAT PATEL el 29 de Jun. de 2021
sorry for disturbance but it give error
Error using imwrite (line 541)
Unable to open file "segmentedImages\image1.png" for writing. You might not have write permission.
Error in ImageReader>preprocessing_Callback (line 138)
imwrite(n1, fullFileName);
Error in gui_mainfcn (line 95)
feval(varargin{:});
Error in ImageReader (line 42)
gui_mainfcn(gui_State, varargin{:});
Error in
matlab.graphics.internal.figfile.FigFile/read>@(hObject,eventdata)ImageReader('preprocessing_Callback',hObject,eventdata,guidata(hObject))
Error while evaluating UIControl Callback.
and this i done the preprocessing but it give me this

3 comentarios

what can i do for this upper quetion???
Attach your .fig file and a couple of input images, and a copy of the network.mat file.

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AKSHAT PATEL
AKSHAT PATEL el 30 de Jun. de 2021
Editada: AKSHAT PATEL el 30 de Jun. de 2021
i have submit all the fies of code plz help me to solve error

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Más información sobre Graphics Object Properties en Centro de ayuda y File Exchange.

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el 29 de Jun. de 2021

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el 30 de Jun. de 2021

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