基于MATLAB中GUI的完整的车牌定位、车牌识别程序

function varargout = xuliu(varargin) gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @xuliu_OpeningFcn, ... 'gui_OutputFcn', @xuliu_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 % 以上程序自动生成，不用修改 function xuliu_OpeningFcn(hObject, eventdata, handles, varargin) handles.output = hObject; guidata(hObject, handles); %显示背景图片 ha=axes('units','normalized','position',[0 0 1 1]); uistack(ha,'down'); II=imread('dabeijing.jpg'); image(II); colormap gray; set(ha,'handlevisibility','off','visible','off'); function varargout = xuliu_OutputFcn(hObject, eventdata, handles) varargout{1} = handles.output; %点击‘选择图片’按钮执行的程序 function open_Callback(hObject, eventdata, handles) [filename,pathname] = uigetfile('*.jpg','选择图片'); handles.filename = filename; guidata(hObject,handles); zhaopianlujing=[pathname filename]; handles.zhaopianlujing = zhaopianlujing; guidata(hObject,handles); %点击‘开始识别’执行的程序 function run_Callback(hObject, eventdata, handles) tic; %程序运行时间 h=waitbar(0,'请稍等......'); %进度条 yt=imread(handles.zhaopianlujing); %yt为原始图像 axes(handles.show); %显示原图 imshow(yt); handles.yt = yt; %第一张图 guidata(hObject,handles); %================================车牌粗定位=============================== waitbar(0.1); [ydown,yup,xright,xleft]=first_bianjie(yt); if ydown>0 [ydown,yup,xright,xleft,yuzhi]=xiuzheng(ydown,yup,xright,xleft); %车牌区域根据面积二次修正 Plate = yt(yup:ydown,xleft:xright,:); handles.Plate = Plate; %放入handles结构体中，方便在其他回调函数中调用 第二张图片 guidata(hObject,handles); bw=Plate; %==============================车牌精确定位=============================== bw=rgb_huiduhua(bw); %将车牌彩色图变换为灰度图 chepaihuidu = bw; handles.chepaihuidu = chepaihuidu; %第三张图片 guidata(hObject,handles); %==========倾斜校正=========== qingxiejiao=rando_bianhuan(bw); bw=imrotate(bw,qingxiejiao,'bilinear','crop');%取值为负值向右旋转 jiaozhenghou = bw; handles.jiaozhenghou = jiaozhenghou; %第四张图片，车牌倾斜矫正后的图片 guidata(hObject,handles); waitbar(0.4); %========数学形态学处理====== bw=im2bw(bw,graythresh(bw)); %graythresh函数找到二值化阈值 erzhihua = bw; handles.erzhihua = erzhihua; %第五张图片，二值化后的图片 guidata(hObject,handles); bw=bwmorph(bw,'open',5); % 执行形态学开操作（先腐蚀后膨胀） bw=bwmorph(bw,'hbreak',inf);% 'hbreak'移除连通的像素 bw=bwmorph(bw,'spur',inf);% 移除刺激（孤立）像素。 bw=bwmorph(bw,'open',5);% 执行形态学开操作（先腐蚀后膨胀） % se=strel('disk',1); % bw=imdilate(bw,se); %开启操作 xingtaixue = bw; handles.xingtaixue = xingtaixue; %第六张图片，第一次形态学处理后的图片 guidata(hObject,handles); bw=~bw; %转化车牌信息的颜色 %==对图像进一步裁剪，保证边框贴近字体==== bw=touying(bw); waitbar(0.5); bw=~bw; %车牌信息为白色 diercijiancai = bw; handles.diercijiancai = diercijiancai; %第七张图片，第二次剪裁后的图片 guidata(hObject,handles); bw = bwareaopen(bw, yuzhi); %移除小对象 dierciyichu = bw; handles.dierciyichu = dierciyichu; %第八张图片，第二次移除小对象后的图片 guidata(hObject,handles); bw=~bw; %黑字白底 [y,~]=size(bw);%对长宽重新赋值 %=========================================字符分割============================================ fenge=shuzifenge(bw); waitbar(0.7); %============ 剪裁七个字符=========== han_zi =bw( 1:y,fenge(1):fenge(2)); zi_mu =bw( 1:y,fenge(3):fenge(4)); xuhao_1 =bw( 1:y,fenge(5):fenge(6)); xuhao_2 =bw( 1:y,fenge(7):fenge(8)); xuhao_3 =bw( 1:y,fenge(9):fenge(10)); xuhao_4 =bw( 1:y,fenge(11):fenge(12)); xuhao_5 =bw( 1:y,fenge(13):fenge(14)); %=====显示分割图像结果======== axes(handles.axes2); imshow(han_zi); axes(handles.axes15); imshow(zi_mu); axes(handles.axes16); imshow(xuhao_1); axes(handles.axes17); imshow(xuhao_2); axes(handles.axes18); imshow(xuhao_3); axes(handles.axes19); imshow(xuhao_4); axes(handles.axes20); imshow(xuhao_5); waitbar(0.8); %==========================================识别================================================ %=======将分割后的字符归一化========= guiyihua_hanzi = imresize(han_zi, [110 70],'bilinear'); guiyihua_zimu = imresize(zi_mu, [110 70],'bilinear'); guiyihua_xuhao1= imresize(xuhao_1,[110 70],'bilinear'); guiyihua_xuhao2 = imresize(xuhao_2,[110 70],'bilinear'); guiyihua_xuhao3 = imresize(xuhao_3,[110 70],'bilinear'); guiyihua_xuhao4 = imresize(xuhao_4,[110 70],'bilinear'); guiyihua_xuhao5 = imresize(xuhao_5,[110 70],'bilinear'); %============ 把0-9 , A-Z以及省份简称的数据存储方便访问==================== muban_hanzi=guiyihua_muban_hanzi; muban_hanzi = ~muban_hanzi; %因数字和字母比例不同。这里要修改 muban_shuzizimu = guiyihua_muban_szzm; mubna_zimu = guiyihua_muban_zimu; waitbar(0.9); %============================识别结果================================ jieguohanzi = shibiehanzi(muban_hanzi,guiyihua_hanzi); shibiejieguo(1) =jieguohanzi; i=2; jieguozimu = shibiezimu(mubna_zimu,guiyihua_zimu); shibiejieguo(i) =jieguozimu; i=i+1; shibiejieguo(i) ='·'; i=i+1; jieguozm_sz_1= shibiezm_sz(muban_shuzizimu,guiyihua_xuhao1); shibiejieguo(i) =jieguozm_sz_1;i=i+1; jieguozm_sz_2= shibiezm_sz(muban_shuzizimu,guiyihua_xuhao2); shibiejieguo(i) =jieguozm_sz_2;i=i+1; jieguozm_sz_3= shibiezm_sz(muban_shuzizimu,guiyihua_xuhao3); shibiejieguo(i) =jieguozm_sz_3;i=i+1; jieguozm_sz_4= shibiezm_sz(muban_shuzizimu,guiyihua_xuhao4); shibiejieguo(i) =jieguozm_sz_4;i=i+1; jieguozm_sz_5= shibiezm_sz(muban_shuzizimu,guiyihua_xuhao5); shibiejieguo(i) =jieguozm_sz_5; handles.shibiejieguo=shibiejieguo; guidata(hObject,handles); set(handles.chepai,'string',shibiejieguo); %=====================导出文本================== fid=fopen('Data.dat','a'); fprintf(fid,'%s\r\n',shibiejieguo,datestr(now)); fclose(fid); %================读取计时========================== t=toc; set(handles.time,'string',t); waitbar(1); close(h); else close(h); end function exit_Callback(hObject, eventdata, handles) button=questdlg('确定退出系统吗？','确认','No'); %当按回车键时，返回default值default 必须是yes,no或cancel 之一。 if strcmp(button,'Yes') close all; end function about_Callback(hObject, eventdata, handles) str={'车牌识别系统1.0';'完成人：徐柳'}; % 改变msgbox属性 % 寻找句柄，改变属性 hs = msgbox(str,'关于'); ht = findobj(hs, 'Type', 'text'); set(ht, 'FontWeight', 'bold','FontSize',12); % --- Executes when selected object is changed in uibuttongroup2. function uibuttongroup2_SelectionChangedFcn(hObject, eventdata, handles) str = get(hObject,'string'); axes(handles.show); switch str case '原图' imshow(handles.yt); case '车牌粗定位图像' imshow(handles.Plate); case '车牌灰度图像' imshow(handles.chepaihuidu); case '车牌倾斜矫正后图像' imshow(handles.jiaozhenghou); case '车牌二值图像' imshow(handles.erzhihua); case '第一次形态学处理后' imshow(handles.xingtaixue); case '车牌精确定位图像' imshow(handles.diercijiancai); case '第二次形态学处理后' imshow(handles.dierciyichu); end %点击语音播报执行的函数 function sound_Callback(hObject, eventdata, handles) duchushengyin(handles.shibiejieguo);