基于GUI和模板匹配的车牌的识别

function varargout = gui2(varargin) % GUI2 MATLAB code for gui2.fig % GUI2, by itself, creates a new GUI2 or raises the existing % singleton*. % % H = GUI2 returns the handle to a new GUI2 or the handle to % the existing singleton*. % % GUI2('CALLBACK',hObject,eventData,handles,...) calls the local % function named CALLBACK in GUI2.M with the given input arguments. % % GUI2('Property','Value',...) creates a new GUI2 or raises the % existing singleton*. Starting from the left, property value pairs are % applied to the GUI before gui2_OpeningFcn gets called. An % unrecognized property name or invalid value makes property application % stop. All inputs are passed to gui2_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 gui2 % Last Modified by GUIDE v2.5 04-Jan-2024 15:11:04 % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @gui2_OpeningFcn, ... 'gui_OutputFcn', @gui2_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 gui2 is made visible. function gui2_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 gui2 (see VARARGIN) % Choose default command line output for gui2 handles.output = hObject; clc;warning off all;%清除所有警告 % axes(handles.axes1);cla reset;box on;set(gca,'XTickLabel',[],'YTickLabel',[]);%图框的刻度 % Update handles structure guidata(hObject, handles); % UIWAIT makes gui2 wait for user response (see UIRESUME) % uiwait(handles.figure1); % --- Outputs from this function are returned to the command line. function varargout = gui2_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; function pushbutton1_Callback(hObject, eventdata, handles) axes(handles.axes1);cla reset;box on;set(gca,'XTickLabel',[],'YTickLabel',[]);%每次导入新图片都会清除原来的数据 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.axes23);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.axes15);cla reset;box on;set(gca,'XTickLabel',[],'YTickLabel',[]); axes(handles.axes16);cla reset;box on;set(gca,'XTickLabel',[],'YTickLabel',[]); axes(handles.axes17);cla reset;box on;set(gca,'XTickLabel',[],'YTickLabel',[]); axes(handles.axes18);cla reset;box on;set(gca,'XTickLabel',[],'YTickLabel',[]); axes(handles.axes19);cla reset;box on;set(gca,'XTickLabel',[],'YTickLabel',[]); axes(handles.axes20);cla reset;box on;set(gca,'XTickLabel',[],'YTickLabel',[]); axes(handles.axes21);cla reset;box on;set(gca,'XTickLabel',[],'YTickLabel',[]); axes(handles.axes22);cla reset;box on;set(gca,'XTickLabel',[],'YTickLabel',[]); set(handles.edit1,'string',[]); [filename pathname]=uigetfile({'*.jpg';'*.bmp'}, 'File Selector'); if isequal(filename,0) msgbox('没有图片') else pathfile=fullfile(pathname,filename); I=imread(pathfile); msgbox('导入图片成功') pause(2); end handles.I=I; guidata(hObject, handles); axes(handles.axes1); imshow(I);title('原图'); % --- Executes on button press in pushbutton2. function pushbutton2_Callback(hObject, eventdata, handles) I=handles.I; I1=rgb2gray(I); I2=edge(I1,'Canny',0.5);%roberts sobel0.18 Canny0.5 axes(handles.axes2);imshow(I1,[]);title('灰度图'); axes(handles.axes3);imhist(I1);title('灰度化直方图'); %imhist绘制灰度直方图 axes(handles.axes4);imshow(I2);title('边缘检测'); se=[1;1;1]; I3=imerode(I2,se);%腐蚀操作 axes(handles.axes5);imshow(I3);title('腐蚀后的图像'); se=strel('rectangle',[30,30]); I4=imclose(I3,se);%图像聚类，填充图像 axes(handles.axes6);imshow(I4);title('闭运算平滑后的图像'); I5=bwareaopen(I4,2000);%去除聚团灰度值小于2000的部分 axes(handles.axes7); imshow(I5);title('移除图像中的小对象'); [y,x,z]=size(I5);%返回15各维的尺寸，存储在x,y,z中 myI=double(I5); tic %tic计时开始，toc结束 %车牌定位 粗定位（确定行列的初始及终止位置） Blue_y=zeros(y,1);%产生一个y*1的零针 for i=1:y for j=1:x if(myI(i,j,1)==1)%如果myI图像坐标为（i，j）点值为1，即背景颜色为蓝色，blue加一 Blue_y(i,1)=Blue_y(i,1)+1;%蓝色像素点统计 end end end [temp MaxY]=max(Blue_y); %Y方向车牌区域确定 %temp为向量blue_y的元素中的最大值，MaxY为该值得索引 PY1=MaxY; while((Blue_y(PY1,1)>=5)&&(PY1>1)) %阈值5可以调，车牌定位范围调节 PY1=PY1-1; end PY2=MaxY; while((Blue_y(PY2,1)>=2)&&(PY2<y)) %阈值5可以调，车牌定位范围调节while((Blue_y(PY2,5)>=5)&&(PY2<y)) PY2=PY2+1; end IY=I(PY1:PY2,:,:); %X方向车牌区域确定 Blue_x=zeros(1,x);%进一步确认x方向的车牌区域 for j=1:x for i=PY1:PY2 if(myI(i,j,1)==1) Blue_x(1,j)=Blue_x(1,j)+1; end end end PX1=1; while((Blue_x(1,PX1)<1)&&(PX1<x)) PX1=PX1+1; end PX2=x; while((Blue_x(1,PX2)<1)&&(PX2>PX1)) %车牌定位范围调节((Blue_x(1,PX2)<1)&&(PX2>PX1)) PX2=PX2-1; end PX1=PX1-1;%对车牌区域的矫正 PX2=PX2+1; dwei=I(PY1:PY2-8,PX1+3:PX2,:); %阈值可改I(PY1:PY2-8,PX1:PX2,:) dw=I(PY1+8:PY2-8,PX1+7:PX2-14,:); （粤J54I55） t=toc; axes(handles.axes8);imshow(IY),title('横向定位后的车牌'); axes(handles.axes9);imshow(dwei),title('定位车牌'); % %倾斜校正 pictureGray1 = rgb2gray(dwei); %水平方向调整 T=affine2d([0 1 0;1 0 0;0 0 1]); pictureTr=imwarp(pictureGray1,T); % 图像转置，顺时针旋转90°调整水平方向 theta = -20 : 20; %设置倾斜角度的范围 r1 = radon(pictureTr, theta); %radon变换确定倾斜角 result1 = sum(abs(diff(r1)), 1); %求出行倒数绝对值的累加和，最大的对应倾斜角 rot1 = find(result1==max(result1))-21; pictureRo = imrotate(dwei, rot1); %竖直方向调整 pictureGray2 = rgb2gray(pictureRo); r2 = radon(pictureGray2, theta); result2 = sum(abs(diff(r2)), 1); rot2 = (find(result2==max(result2))-21)/57.3; %将数值转为角度 if rot2>0 T1 = affine2d([1 0 0 ; -tan(rot2) 1 0 ; size(pictureGray2, 1) * tan(rot2) 0 1]); else T1 = affine2d([1 0 0 ; tan(-rot2) 1 0 ; size(pictureGray2, 1) * tan(-rot2) 0 1]); end dw = imwarp(pictureRo, T1); handles.dw = dw; guidata(hObject, handles); axes(handles.axes23); imshow(dw);title('倾斜校正后的图像'); %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%