1 简介
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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
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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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