How to pass data within GUI functions (MATLAB GUI Tutorial with Image Processing ) скачать в хорошем качестве

How to pass data within GUI functions (MATLAB GUI Tutorial with Image Processing )

Prerequisite: Noise Removal in colored Images using Median Filter | MATLAB    • Noise Removal in colored Images using Medi...   Code : function varargout = App(varargin) gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @App_OpeningFcn, ... 'gui_OutputFcn', @App_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 App is made visible. function App_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 App (see VARARGIN) % Choose default command line output for App handles.output = hObject; % Update handles structure guidata(hObject, handles); % UIWAIT makes App wait for user response (see UIRESUME) % uiwait(handles.figure1); % --- Outputs from this function are returned to the command line. function varargout = App_OutputFcn(hObject, eventdata, handles) varargout{1} = handles.output; % --- Executes on button press in Browse. function Browse_Callback(hObject, eventdata, handles) [filename, pathname] = uigetfile('*.*', 'Pick a MATLAB code file'); if isequal(filename,0) || isequal(pathname,0) disp('User pressed cancel') else filename=strcat(pathname,filename); a=imread(filename); axes(handles.axes1); imshow(a); handles.o=a; guidata(hObject, handles); end % --- Executes on button press in Add_Noise. function Add_Noise_Callback(hObject, eventdata, handles) J=handles.o; J =imnoise(J,'salt & pepper', 0.4); axes(handles.axes2); imshow(J); handles.J=J; guidata(hObject, handles); % --- Executes on button press in Remove_Noise. function Remove_Noise_Callback(hObject, eventdata, handles) J=handles.J; p=medfilt3(J,[5,5,3]); axes(handles.axes3); imshow(p); Learn Complete Machine Learning & Data Science using MATLAB:    • Data Science & Machine Learning using MATLAB   Learn Digital Signal Processing using MATLAB:    • Digital Signal Processing Matlab   Learn Complete Image Processing & Computer Vision using MATLAB:    • Digital Image Processing using MATLAB   🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 THINGS to support my channel LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL #DigitalImageProcessing #MATLAB #ComputerVision