基于MATLAB的出入库车牌识别计费系统(语音播报+GUI界面+项目开发源码).zip

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 12-May-2009 23:58:18 % 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 selection change in listbox1. function listbox1_Callback(hObject, eventdata, handles) % hObject handle to listbox1 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % Hints: contents = cellstr(get(hObject,'String')) returns listbox1 contents as cell array % contents{get(hObject,'Value')} returns selected item from listbox1 % --- Executes during object creation, after setting all properties. function listbox1_CreateFcn(hObject, eventdata, handles) % hObject handle to listbox1 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles empty - handles not created until after all CreateFcns called % Hint: listbox 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 selection change in listbox2. function listbox2_Callback(hObject, eventdata, handles) % hObject handle to listbox2 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % Hints: contents = cellstr(get(hObject,'String')) returns listbox2 contents as cell array % contents{get(hObject,'Value')} returns selected item from listbox2 % --- Executes during object creation, after setting all properties. function listbox2_CreateFcn(hObject, eventdata, handles) % hObject handle to listbox2 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles empty - handles not created until after all CreateFcns called % Hint: listbox 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) %----------------------入停车场----------------------------- [filename,filepath]=uigetfile('.jpg','采集入库车牌');% 直接自动读入% file=strcat(filepath,filename); %strcat函数：连接字符串；把filepath的字符串与filename的连接，即路径/文件名 I=imread(file); axes(handles.axes1) imshow(I) title('原图') I1=rgb2gray(I); I2=edge(I1,'roberts',0.15,'both'); se=[1;1;1]; I3=imerode(I2,se); se=strel('rectangle',[25,25]); I4=imclose(I3,se); I5=bwareaopen(I4,2000); [y,x,z]=size(I5); myI=double(I5); tic white_y=zeros(y,1); for i=1:y for j=1:x if(myI(i,j,1)==1) white_y(i,1)= white_y(i,1)+1; end end end [temp MaxY]=max(white_y); PY1=MaxY; while ((white_y(PY1,1)>=5)&&(PY1>1)) PY1=PY1-1; end PY2=MaxY; while ((white_y(PY2,1)>=5)&&(PY2<y)) PY2=PY2+1; end IY=I(PY1:PY2,:,:); white_x=zeros(1,x); for j=1:x for i=PY1:PY2 if(myI(i,j,1)==1) white_x(1,j)= white_x(1,j)+1; end end end PX1=1; while ((white_x(1,PX1)<3)&&(PX1<x)) PX1=PX1+1; end PX2=x; while ((white_x(1,PX2)<3)&&(PX2>PX1)) PX2=PX2-1; end PX1=PX1-2; PX2=PX2+3; dw=I(PY1:PY2-8,PX1:PX2,:); axes(handles.axes2) imshow(dw) title('车牌定位') t=toc; %识别时间 a=dw; %定位的车牌 b=rgb2gray(a); g_max=double(max(max(b))); g_min=double(min(min(b))); T=round(g_max-(g_max-g_min)/3); % T 为二值化的阈值 [m,n]=size(b); d=(double(b)>=T); % d:二值图像 % 滤波 h=fspecial('average',3); d=im2bw(round(filter2(h,d))); axes(handles.axes3) imshow(d) title('车牌区域二值化') % 某些图像进行操作 % 膨胀或腐蚀 % 使用一个3X3的正方形结果元素对象对创建的图像进行膨胀 se=eye(2); [m,n]=size(d); if bwarea(d)/m/n>=0.365 d=imerode(d,se); elseif bwarea(d)/m/n<=0.235 d=imdilate(d,se); end % 寻找连续有文字的块，若长度大于某阈值，则认为该块有两个字符组成，需要分割 d=qiege(d); [m,n]=size(d); k1=1;k2=1;s=sum(d);j=1; while j~=n while s(j)==0 j=j+1; end k1=j; while s(j)~=0 && j<=n-1 j=j+1; end k2=j-1; if k2-k1>=round(n/6.5) [val,num]=min(sum(d(:,[k1+5:k2-5]))); d(:,k1+num+5)=0; % 分割 end end % 再切割 d=qiege(d); % 切割出 7 个字符 y1=10;y2=0.25;flag=0;word1=[]; while flag==0 [m,n]=size(d); left=1;wide=0; while sum(d(:,wide+1))~=0 wide=wide+1; end if wide<y1 % 认为是左侧干扰 d(:,[1:wide])=0; d=qiege(d); else temp=qiege(imcrop(d,[1 1 wide m])); [m,n]=size(temp); all=sum(sum(temp)); two_thirds=sum(sum(temp([round(m/3):2*round(m/3)],:))); if two_thirds/all>y2 flag=1;word1=temp; % WORD 1 end d(:,[1:wide])=0;d=qiege(d); end end % 分割出第二个字符 [word2,d]=getword(d); % 分割出第三个字符 [word3,d]=getword(d); % 分割出第四个字符 [word4,d]=getword(d); % 分割出第五个字符 [word5,d]=getword(d); % 分割出第六个字