1 基于BP神经网络手写数字识别模型介绍
模型参考这里。
2 部分代码
function varargout = number_reconginize(varargin)
% NUMBER_RECONGINIZE MATLAB code for number_reconginize.fig
% NUMBER_RECONGINIZE, by itself, creates a new NUMBER_RECONGINIZE or raises the existing
% singleton*.
%
% H = NUMBER_RECONGINIZE returns the handle to a new NUMBER_RECONGINIZE or the handle to
% the existing singleton*.
%
% NUMBER_RECONGINIZE('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in NUMBER_RECONGINIZE.M with the given input arguments.
%
% NUMBER_RECONGINIZE('Property','Value',...) creates a new NUMBER_RECONGINIZE or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before number_reconginize_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to number_reconginize_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 number_reconginize
% Last Modified by GUIDE v2.5 06-Apr-2020 18:32:38
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @number_reconginize_OpeningFcn, ...
'gui_OutputFcn', @number_reconginize_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 number_reconginize is made visible.
function number_reconginize_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 number_reconginize (see VARARGIN)
% Choose default command line output for number_reconginize
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes number_reconginize wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = number_reconginize_OutputFcn(hObject, eventdata, 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;
% --- Executes on button press in open_image.
function open_image_Callback(hObject, eventdata, handles)
% hObject handle to open_image (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';'*.bmp';'*.tif';'*.jpg';'*.*'},'载入图像');
if isequal(filename,0)|isequal(pathname,0)
errordlg('没有选中文件','出错');
return;
else
file=[pathname,filename];
global S %设置一个全局变量S,保存初始图像路径,以便之后的还原操作
S=file;
x=imread(file);
set(handles.axes1,'HandleVisibility','ON');
axes(handles.axes1);
function edit1_Callback(hObject, eventdata, handles)
% hObject handle to edit1 (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 edit1 as text
% str2double(get(hObject,'String')) returns contents of edit1 as a double
% --- Executes during object creation, after setting all properties.
function edit1_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
3 运行结果
4 参考文献
[1]张彤, 肖南峰. 基于BP网络的数字识别方法[J]. 重庆理工大学学报(自然科学版), 2010.
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