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function varargout = main(varargin) % MAIN MATLAB code for main.fig % MAIN, by itself, creates a new MAIN or raises the existing % singleton*. % % H = MAIN returns the handle to a new MAIN or the handle to % the existing singleton*. % % MAIN('CALLBACK',hObject,eventData,handles,...) calls the local % function named CALLBACK in MAIN.M with the given input arguments. % % MAIN('Property','Value',...) creates a new MAIN or raises the % existing singleton*. Starting from the left, property value pairs are % applied to the GUI before main_OpeningFcn gets called. An % unrecognized property name or invalid value makes property application % stop. All inputs are passed to main_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 % Last Modified by GUIDE v2.5 20-Apr-2014 14:55:44 % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @main_OpeningFcn, ... 'gui_OutputFcn', @main_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 is made visible. function main_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 (see VARARGIN) % Choose default command line output for main handles.output = hObject; % Update handles structure guidata(hObject, handles); % UIWAIT makes main wait for user response (see UIRESUME) % uiwait(handles.figure1); % --- Outputs from this function are returned to the command line. function varargout = main_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) %%%%%%%%打开图像 global im; [filename,pathname]=uigetfile({'*.*';'*.bmp';'*.jpg';'*.tif';'*.jpg'},'选择图像'); if isequal(filename,0)||isequal(pathname,0) errordlg('您还没有选取图片！！','温馨提示');%如果没有输入，则创建错误对话框 return; else image=[pathname,filename];%合成路径+文件名 im=imread(image);%读取图像 axes(handles.axes1); imshow(im);%在坐标axes1显示原图像 title('原始QR图像'); end % 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) % --- 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) % --- Executes on button press in pushbutton3. function pushbutton3_Callback(hObject, eventdata, handles)%%%%%%%%%%%%%%%%%%% QR解码 global I_otsu; %global 定义全局变量 global im; global KL; global Ijibian; I_jiema=Ijibian; I_jiema=I_otsu; %二值 I_jiema=KL; I_jiema=im; % str=zxing_decode(I_jiema) %解码 %set(handles.edit1,'string',[get(handles.edit1,'string') str]); %set(handles.text,'string',[get(handles.text,'string') str]); set(handles.edit1,'String',str); %显示字符 % --- Executes on button press in pushbutton4. function pushbutton4_Callback(hObject, eventdata, handles) %%%%%%%%%%%%%%%%%%% 灰度化处理 global im; global II; I=im; [w,h,l]=size(I); %图像大小 II=[]; for i=1:h for j=1:w II(j,i)=0.3*I(j,i,1)+0.59*I(j,i,2)+0.11*I(j,i,3); %灰度化处理公式 end end figure,imshow(II,[]) %显示图像 title('QR二维码灰度化处理'); % --- Executes on button press in pushbutton5. function pushbutton5_Callback(hObject, eventdata, handles)%%%%%%%%%%%%%%%%%%% 平滑处理 global II; global I3; III=uint8(II); %图像转换0-255 Ix=imnoise(III,'salt & pepper',0.02); %对灰度化图像人为加噪声 I3=medfilt2(Ix,[3,3]); %平滑处理 figure imshow(Ix) title('QR二维码加噪处理'); figure imshow(I3) title('QR二维码平滑处理'); % --- Executes on button press in pushbutton6. function pushbutton6_Callback(hObject, eventdata, handles)%%%%%%%%%%%%%%%%%%% 二值化处理 global I3; global I_otsu; I_otsu=otsut(I3); %二值化处理 figure imshow(I_otsu,[]) title('QR二维码二值化处理'); 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 % 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 pushbutton7. function pushbutton7_Callback(hObject, eventdata, handles) %%%% 旋转校正 4.bmp global im; %倾斜校正 ：二值化，取边缘，Hough变换得到角度，旋转 I=im; bw=rgb2gray(I); %rgb转换为灰度图 bw=im2bw(I,graythresh(bw)); %二值化过程 bw=double(bw); BW=edge(bw,'canny'); %canny边缘处理 BW1=BW; figure imshow(BW1);title('canny 边界图像'); %显示图像 [H,T,R]=hough(BW); figure,imshow(H,[],'XData',T,'YData',R,'InitialMagnification','fit'); xlabel('\theta'),ylabel('\rho'); axis on, axis normal,hold on; P=houghpeaks(H,4,'threshold',ceil(0.3*max(H(:)))); %hough变化峰值检测 x=T(P(:,2)); y = R(P(:,1)); plot(x,y,'s','color','white'); lines=houghlines(BW,T,R,P,'FillGap',50,'MinLength',7); %hough检测线段 figure,imshow(BW),title('直线标识图像'); max_len = 0; hold on; for k=1:length(lines) %主要把线条和点显示出来 xy=[lines(k).point1;lines(k).point2]; % 标出线段 plot(xy(:,1),xy(:,2),'LineWidth',2,'Color','green'); % 标出线段的起始和终端点 plot(xy(1,1),xy(1,2),'x','LineWidth',2,'Color','yellow'); plot(xy(2,1),xy(2,2),'x','LineWidth',2,'Color','red'); len=norm(lines(k).point1-lines(k).point2); Len(k)=len; if (len>max_len) max_len=len; xy_long=xy; end end % 强调最长的部分 plot(xy_long(:,1),xy_long(:,2),'LineWidth',2,'Color','blue'); [L1 Index1]=max(Len(:)); % 最长线段的起始和终止点 x1=[lines(Index1).point1(1) lines(Index1).point2(1)]; y1=[lines(Index1).point1(2) lines(Index1).point2(2)]; % 求得线段的斜率 K1=-(lines(Index1).point1(2)-lines(Index1).point2(2))/... (lines(Index1).point1(1)-lines(Index1).point2(1)) an