基于matlab的车牌识别GUI系统.zip

function varargout = main(varargin) 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 function main_OpeningFcn(hObject, eventdata, handles, varargin) handles.output = hObject; clc; warning off all; axes(handles.axes1); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes2); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes3); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes4); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes5); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes6); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes7); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes8); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes9); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes10); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes11); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes12); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes13); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes14); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes15); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); set(handles.edit1, 'string', []); handles.Img=[]; guidata(hObject, handles); function varargout = main_OutputFcn(hObject, eventdata, handles) varargout{1} = handles.output; function edit1_Callback(hObject, eventdata, handles) function edit1_CreateFcn(hObject, eventdata, handles) 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) axes(handles.axes1); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes2); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes3); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes4); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes5); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes6); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes7); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes8); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes9); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes10); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes11); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes12); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes13); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes14); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); axes(handles.axes15); cla reset; box on; set(gca, 'XTickLabel', [], 'YTickLabel', []); set(handles.edit1, 'string', []); [filename, pathname] = uigetfile({'*.jpg;*.tif;*.png;*.gif', 'All Image Files';... '*.*', '所有文件' }, '选择图像文件', fullfile(pwd, 'images/川F1A666.jpg')); if filename == 0 return; end % 文件名 file = fullfile(pathname, filename); % 图像矩阵 Img = imread(file); %激活第一个轴对象 axes(handles.axes1); imshow(Img, []); %激活第二个轴对象 axes(handles.axes2); imshow(Img, []);title('原图'); %保存为全局变量 handles.Img = Img; guidata(hObject, handles); % --- Executes on button press in pushbutton2. function pushbutton2_Callback(hObject, eventdata, handles) Img=handles.Img; %对图像I进行灰度处理 I_gray=rgb2gray(Img); axes(handles.axes3);imshow(I_gray);title('灰度图像'); %利用Sobel算子进行边缘检测 I_edge=edge(I_gray,'sobel'); axes(handles.axes4);imshow(I_edge);title('边缘检测后图像'); se=[1;1;1]; %对边缘图像进行腐蚀 I_erode=imerode(I_edge,se); axes(handles.axes5);imshow(I_erode);title('腐蚀后边缘图像'); se=strel('rectangle',[25,25]); %填充图像 I_close=imclose(I_erode,se); axes(handles.axes6);imshow(I_close);title('填充后图像'); %去除聚团灰度值小于1500的部分 I_final=bwareaopen(I_close,1500); axes(handles.axes7);imshow(I_final);title('形态滤波后图像'); I_new=zeros(size(I_final,1),size(I_final,2)); location_of_1=[]; %寻找二值图像中白的点的位置 for i=1:size(I_final,1) for j=1:size(I_final,2) if I_final(i,j)==1 newlocation=[i,j]; location_of_1=[location_of_1;newlocation]; end end end mini=inf;maxi=0; %寻找所有白点中，x坐标与y坐标的和最大，最小的两个点的位置 for i=1:size(location_of_1,1) temp=location_of_1(i,1)+location_of_1(i,2); if temp<mini mini=temp; a=i; end if temp>maxi maxi=temp; b=i; end end %和最小的点为车牌的左上角 first_point=location_of_1(a,:); %和最大的点为车牌的右下角 last_point=location_of_1(b,:); %坐标值修正 x1=first_point(1)+10; x2=last_point(1)-4; y1=first_point(2)+10; y2=last_point(2)-4; I_plate=Img(x1:x2,y1:y2); g_max=double(max(max(I_plate))); g_min=double(min(min(I_plate))); % T为二值化的阈值 T=round(g_max-(g_max-g_min)/3); I_plate =im2bw (I_plate,T/256); I_plate=bwareaopen(I_plate,20); I_plate(: ,y2)=0; axes(handles.axes8); I_plate=bwareaopen(I_plate,100); %画出最终车牌 imshow(I_plate);title('车牌提取'); %用来存放水平分割线的横坐标 X=[]; z=0; flag=0; for j=1:size(I_plate,2) sum_y=sum(I_plate(:,j)); %列和有变化时，记录下此列 if logical(sum_y)~=flag if(j-z>10) X=[X j]; flag=logical(sum_y); %用z记录上一个j的值，防止两个列坐标间隔太小 z=j; end end end for n=1:7 %进行粗分割 char=I_plate(:,X(2*n-1):X(2*n)-1); %这两个for循环对分割字符的上下进行裁剪 for i=1:size(char,1) if sum(char(i,:))~=0 top=i; break end end for i=1:size(char,1) if sum(char(size(char,1)-i,:))~=0 bottom=size(char,1)-i; break end end char=char(top:bottom,:); %归一化为40*20的大小，以便模板匹配 char=imresize(char,[40,20],'nearest'); segchar(n,:,:)=char(:,:); %将分割的字符放入Char_i中 eval(strcat('Char_',num2str(n),'=char;')); end axes(handles.axes9); imgchar(:,:)=segchar(1,:,:); imshow(imgchar) axes(handles.axes10); imgchar(:,:)=segchar(2,:,:); imshow(imgchar) axes(handles.axes11); imgchar(:,:)=segchar(3,:,:); imshow(imgchar) axes(handles.axes12); imgchar(:,:)=segchar(4,:,:); imshow(imgchar) axes(handles.axes13); imgchar(:,:)=segchar(5,:,:); imshow(imgchar) axes(handles.axes14); imgchar(:,:)=segchar(6,:,:); imshow(imgchar) axes(handles.axes15); imgchar(:,:)=segchar(7,:,:); imshow(imgchar) char=[]; store1=strcat('贵','豫','粤','湘','鄂','皖','鲁','藏','京','苏','黑','吉','冀','晋','辽','浙','津','闽','云','陕','琼'); %创建汉字识别模板库 for j=1:21 Im=Char_1; Template=imread(strcat('车牌汉字库\',num2str(j),'.jpg')); Template=im2bw(Template); Differ=Im-Template; Compare(j)=sum(sum(abs(Differ))); end index=Compare==(min(Compare)); char=[char store1(index)]; store2=strcat('A','B','C','D','E','F','G','H','J','K','L','M','N','P','Q','R','S','T','U','V','W','X','Y','Z','0','1','2','3','4','5','6','7','8','9'); %创建字母与数字识别模板库 for i=2:7