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
