matlab2.rar_gesture_gesture matlab_matlab 手势识别_手势_手势识别

function varargout = NewGUI(varargin) % NEWGUI M-file for NewGUI.fig % NEWGUI, by itself, creates a new NEWGUI or raises the existing % singleton*. % % H = NEWGUI returns the handle to a new NEWGUI or the handle to % the existing singleton*. % % NEWGUI('CALLBACK',hObject,eventData,handles,...) calls the local % function named CALLBACK in NEWGUI.M with the given input arguments. % % NEWGUI('Property','Value',...) creates a new NEWGUI or raises the % existing singleton*. Starting from the left, property value pairs are % applied to the GUI before NewGUI_OpeningFunction gets called. An % unrecognized property name or invalid value makes property application % stop. All inputs are passed to NewGUI_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 NewGUI % Last Modified by GUIDE v2.5 12-Dec-2007 14:28:07 % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @NewGUI_OpeningFcn, ... 'gui_OutputFcn', @NewGUI_OutputFcn, ... 'gui_LayoutFcn', [] , ... 'gui_Callback', []); if nargin & isstr(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 NewGUI is made visible. function NewGUI_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 NewGUI (see VARARGIN) % Choose default command line output for NewGUI handles.output = hObject; % Update handles structure guidata(hObject, handles); % UIWAIT makes NewGUI wait for user response (see UIRESUME) % uiwait(handles.figure1); % --- Outputs from this function are returned to the command line. function varargout = NewGUI_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 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) %take alll the training image. %take alll the training image. im1=imread('group1/bfritza1.pgm'); im2=imread('group1/bfritza2.pgm'); im3=imread('group1/bfritza3.pgm'); %get the feature of image r1=findfeature(im1); r2=findfeature(im2); r3=findfeature(im3); %find the orientation histigram of image h1=histc(r1,1:8); h2=histc(r2,1:8); h3=histc(r3,1:8); %save the data group1(1).im=im1; group1(2).im=im2; group1(3).im=im3; group1(1).feature=r1; group1(2).feature=r2; group1(3).feature=r3; group1(1).histal=h1; group1(2).histal=h2; group1(3).histal=h3; setappdata(gcbf,'group1',group1); %take group2 the training image. im4=imread('group2/bfritzb1.pgm'); im5=imread('group2/bfritzb2.pgm'); im6=imread('group2/bfritzb3.pgm'); %get the feature of image r4=findfeature(im4); r5=findfeature(im5); r6=findfeature(im6); %find the orientation histigram of image h4=histc(r4,1:8); h5=histc(r5,1:8); h6=histc(r6,1:8); %save the data group2(1).im=im4; group2(2).im=im5; group2(3).im=im6; group2(1).feature=r4; group2(2).feature=r5; group2(3).feature=r6; group2(1).histal=h4; group2(2).histal=h5; group2(3).histal=h6; setappdata(gcbf,'group2',group2); %take group3 the training image. im7=imread('group3/bfritzc1.pgm'); im8=imread('group3/bfritzc2.pgm'); im9=imread('group3/bfritzc3.pgm'); %get the feature of image r7=findfeature(im7); r8=findfeature(im8); r9=findfeature(im9); %find the orientation histigram of image h7=histc(r7,1:8); h8=histc(r8,1:8); h9=histc(r9,1:8); %save the data group3(1).im=im7; group3(2).im=im8; group3(3).im=im9; group3(1).feature=r7; group3(2).feature=r8; group3(3).feature=r9; group3(1).histal=h7; group3(2).histal=h8; group3(3).histal=h9; setappdata(gcbf,'group3',group3); %take group4 the training image. im10=imread('group4/bfritzd1.pgm'); im11=imread('group4/bfritzd2.pgm'); im12=imread('group4/bfritzd3.pgm'); %get the feature of image r10=findfeature(im10); r11=findfeature(im11); r12=findfeature(im12); %find the orientation histigram of image h10=histc(r10,1:8); h11=histc(r11,1:8); h12=histc(r12,1:8); %save the data group4(1).im=im10; group4(2).im=im11; group4(3).im=im12; group4(1).feature=r10; group4(2).feature=r11; group4(3).feature=r12; group4(1).histal=h10; group4(2).histal=h11; group4(3).histal=h12; setappdata(gcbf,'group4',group4); %take group5 the training image. im13=imread('group5/bfritzg1.pgm'); im14=imread('group5/bfritzg2.pgm'); im15=imread('group5/bfritzg3.pgm'); %get the feature of image r13=findfeature(im13); r14=findfeature(im14); r15=findfeature(im15); %find the orientation histigram of image h13=histc(r13,1:8); h14=histc(r14,1:8); h15=histc(r15,1:8); %save the data group5(1).im=im13; group5(2).im=im14; group5(3).im=im15; group5(1).feature=r13; group5(2).feature=r14; group5(3).feature=r15; group5(1).histal=h13; group5(2).histal=h14; group5(3).histal=h15; setappdata(gcbf,'group5',group5); %take group6 the training image. im16=imread('group6/bfritzy1.pgm'); im17=imread('group6/bfritzy2.pgm'); im18=imread('group6/bfritzy3.pgm'); %get the feature of image r16=findfeature(im16); r17=findfeature(im17); r18=findfeature(im18); %find the orientation histigram of image h16=histc(r16,1:8); h17=histc(r17,1:8); h18=histc(r18,1:8); %save the data group6(1).im=im16; group6(2).im=im17; group6(3).im=im18; group6(1).feature=r16; group6(2).feature=r17; group6(3).feature=r18; group6(1).histal=h16; group6(2).histal=h17; group6(3).histal=h18; setappdata(gcbf,'group6',group6); msgbox('The training is success.You can classify the new image now'); % figure; % subplot(18,1,1); % plot(h1); % subplot(18,1,2); % imshow(h2); % subplot(18,1,3); % plot(h3); % subplot(18,1,4); % plot(h4); % subplot(18,1,5); % plot(h5); % subplot(18,1,6); % plot(h6); % subplot(18,1,7); % plot(h7); % subplot(18,1,8); % plot(h8); % subplot(18,1,9); % plot(h9); % subplot(18,1,10); % plot(h10); % subplot(18,1,11); % plot(h11); % subplot(18,1,12); % plot(h12); % subplot(18,1,13); % plot(h13); % subplot(18,1,14); % plot(h14); % subplot(18,1,15); % plot(h15); % subplot(18,1,16); % plot(h16); % subplot(18,1,17); % plot(h17); % subplot(18,1,18); % plot(h18); end % --- 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) [filename,path]=uigetfile('*.pgm'); im1=imread(strcat(path,filename)); r1=findfeature(im1); h1=histc(r1,1:8); group{1}=getappdata(gcbf,'group1'); group{2}=getappdata(gcbf,'group2'); group{3}=getappdata(gcbf,'group3'); group{4}=getappdata(gcbf,'group4'); group{5}=getappdata(gcbf,'group5'); group{6}=getapp