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【手写数字识别】基于Fisher分类实现手写数字识别附matlab代码

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1 简介 Fisher分类器同SVM(supportvectormachine)分类器一样是有监督分类方法,它通过计算图像的类内散布矩阵和类间散布矩阵,找到最 优投 影


1 简介

Fisher分类器同SVM(supportvectormachine)分类器一样是有监督分类方法,它通过计算图像的类内散布矩阵和类间散布矩阵,找到最 优 投 影面,使投影方向上的类内数据尽量密集而类间数据尽量分散。

2 部分代码

function varargout = main_gui(varargin)
% MAIN_GUI MATLAB code for main_gui.fig
% MAIN_GUI, by itself, creates a new MAIN_GUI or raises the existing
% singleton*.
%
% H = MAIN_GUI returns the handle to a new MAIN_GUI or the handle to
% the existing singleton*.
%
% MAIN_GUI('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in MAIN_GUI.M with the given input arguments.
%
% MAIN_GUI('Property','Value',...) creates a new MAIN_GUI or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before main_gui_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to main_gui_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 main_gui
% Last Modified by GUIDE v2.5 02-Apr-2019 15:37:29
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @main_gui_OpeningFcn, ...
'gui_OutputFcn', @main_gui_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 main_gui is made visible.
function main_gui_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 main_gui (see VARARGIN)
% set( handles.axes1, 'visible', 'off' );
% set( handles.axes1, 'box', 'on' );
global W W0;
load W
load W0
% Choose default command line output for main_gui
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes main_gui wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = main_gui_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 mouse press over figure background, over a disabled or
% --- inactive control, or over an axes background.
function figure1_WindowButtonDownFcn(hObject, eventdata, handles)
% hObject handle to figure1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global draw_enable; %定义一个标志,1表示绘图,0表示停止绘图
global x;
global y;
draw_enable=1;
if draw_enable
position=get(gca,'currentpoint'); %gca(获取当前坐标轴的句柄)
x(1)=position(1);
y(1)=position(3);
end
% --- Executes on mouse motion over figure - except title and menu.
function figure1_WindowButtonMotionFcn(hObject, eventdata, handles)
% hObject handle to figure1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global draw_enable;
global x;
global y;
global h1;
if draw_enable==1
position=get(gca,'currentpoint');
x(2)=position(1);
y(2)=position(3);
h1=line(x,y,'LineWidth',25,'color','k','Linestyle','-.');
x(1)=x(2);
y(1)=y(2); %鼠标移动,随时更新数据
end
% --- Executes on mouse press over figure background, over a disabled or
% --- inactive control, or over an axes background.
function figure1_WindowButtonUpFcn(hObject, eventdata, handles)
% hObject handle to figure1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global draw_enable;
draw_enable=0;
function num_Callback(hObject, eventdata, handles)
% hObject handle to num (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 num as text
% str2double(get(hObject,'String')) returns contents of num as a double
% --- Executes during object creation, after setting all properties.
function num_CreateFcn(hObject, eventdata, handles)
% hObject handle to num (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 pushbutton1.
function pushbutton1_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global W
global W0
img=getframe(handles.axes1);
img=imresize(img.cdata,[28,28]);
img=im2bw(img,graythresh(img));
img=~img;
axes(handles.axes2);
img1=~img;
imshow(img1);%img1为预览图像
%计算概率
for cnt=1:4
for cnt2=1:4
Atemp=sum(img(((cnt*7-6):(cnt*7)),((cnt2*7-6):(cnt2*7))));%10*10box
lett((cnt-1)*4+cnt2)=sum(Atemp);
end
end
predict=W'*lett';
predict=predict-W0';
for i=1:10
num=size(find(predict(i*9-8:i*9)>0),1);
total(i)=num;
end
[~,num]=max(total);
set(handles.num,'string',num2str(num-1));
% --- Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton2 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
set(handles.num,'string','');
axes(handles.axes1);
cla;
axes(handles.axes2);
cla; %cla清空坐标轴

3 仿真结果

【手写数字识别】基于Fisher分类实现手写数字识别附matlab代码_数据

【手写数字识别】基于Fisher分类实现手写数字识别附matlab代码_ide_02

【手写数字识别】基于Fisher分类实现手写数字识别附matlab代码_坐标轴_03转存失败重新上传取消

【手写数字识别】基于Fisher分类实现手写数字识别附matlab代码_ide_04

【手写数字识别】基于Fisher分类实现手写数字识别附matlab代码_数据_05

【手写数字识别】基于Fisher分类实现手写数字识别附matlab代码_坐标轴_06

【手写数字识别】基于Fisher分类实现手写数字识别附matlab代码_ide_07

【手写数字识别】基于Fisher分类实现手写数字识别附matlab代码_ide_08

【手写数字识别】基于Fisher分类实现手写数字识别附matlab代码_数据_09

4 参考文献

[1]王海涛, 丁宣浩. 基于Fisher分类和自适应阈值的分形图像编码方法[J]. 广西科学, 2008, 15(3):3.

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【手写数字识别】基于Fisher分类实现手写数字识别附matlab代码_数据_10

【手写数字识别】基于Fisher分类实现手写数字识别附matlab代码_ide_11

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