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

Question

AKSHAT PATEL 2021-6-29

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/867908-when-i-run-this-code-i-found-errors-plz-help-me-to-solve-it

评论： Walter Roberson 2021-6-30

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.

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

Answer 1

Walter Roberson 2021-6-29

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/867908-when-i-run-this-code-i-found-errors-plz-help-me-to-solve-it#answer_735788

在 MATLAB Online 中打开

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 个评论
显示 11更早的评论隐藏 11更早的评论

Walter Roberson 2021-6-29

在 MATLAB Online 中打开

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);

Walter Roberson 2021-6-29

在 MATLAB Online 中打开

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);

AKSHAT PATEL 2021-6-29

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.

Walter Roberson 2021-6-29

在 MATLAB Online 中打开

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);

AKSHAT PATEL 2021-6-30

编辑：AKSHAT PATEL 2021-6-30

sorry its running. thank you for solving me this error .

Walter Roberson 2021-6-30

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.

请先登录，再进行评论。