数字图像处理大作业-matlab实现的蓝绿黄白四色车牌识别源码（高分项目）

% ****************************************************** % author: 邓雅文 % title : 车牌识别 % ******************************************************* function varargout = CarId(varargin) % CARID MATLAB code for CarId.fig % CARID, by itself, creates a new CARID or raises the existing % singleton*. % % H = CARID returns the handle to a new CARID or the handle to % the existing singleton*. % % CARID('CALLBACK',hObject,eventData,handles,...) calls the local % function named CALLBACK in CARID.M with the given input arguments. % % CARID('Property','Value',...) creates a new CARID or raises the % existing singleton*. Starting from the left, property value pairs are % applied to the GUI before CarId_OpeningFcn gets called. An % unrecognized property name or invalid value makes property application % stop. All inputs are passed to CarId_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 CarId % Last Modified by GUIDE v2.5 01-Apr-2023 12:44:28 % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... %模式 'gui_OpeningFcn', @CarId_OpeningFcn, ... 'gui_OutputFcn', @CarId_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 CarId is made visible. function CarId_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 CarId (see VARARGIN) % Choose default command line output for CarId handles.output = hObject; %隐藏坐标轴 set(handles.axes1,'visible','off'); set(handles.axes2,'visible','off'); set(handles.axes3,'visible','off'); set(handles.axes4,'visible','off'); set(handles.axes5,'visible','off'); set(handles.axes6,'visible','off'); set(handles.axes7,'visible','off'); set(handles.axes8,'visible','off'); set(handles.axes9,'visible','off'); set(handles.axes10,'visible','off'); set(handles.axes11,'visible','off'); set(handles.axes12,'visible','off'); set(handles.axes14,'visible','off'); % Update handles structure guidata(hObject, handles); % UIWAIT makes CarId wait for user response (see UIRESUME) % uiwait(handles.figure1); % --- Outputs from this function are returned to the command line. function varargout = CarId_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; %% %======================my code========================% function openLocal_Callback(hObject,eventdata,handles) %关于uigetfile %打开一个模态对话框，其中列出了当前文件夹中的文件。用户可以在这里选择或输入文件的名称。如果文件存在并且有效，当用户点击打开时，uigetfile %将返回文件名。如果用户点击取消或窗口关闭按钮 (X)，uigetfile 将返回 0。 [filename, pathname]=uigetfile({'*.jpg; *.png; *.bmp; *.tif';'*.png';'All Image Files';'*.*'},'请选择图片路径'); if pathname==0 return; end I=imread([pathname filename]); %显示原图 axes(handles.axes1) %将Tag值为axes1的坐标轴置为当前 imshow(I,[]); %解决图像太大无法显示的问题.why?貌似会自动缩放 title('原图'); handles.I=I; %更新图像 % Update handles structure guidata(hObject, handles); %% 功能开关选择 function checkbox1_Callback(hObject, eventdata, handles) %#ok<*INUSD> if ( get(hObject,'Value') ) handles.FunctionSwitch= 1; %#ok<*NASGU> else handles.FunctionSwitch= 0; end guidata(hObject, handles); %% %下面在使用原图方法: handles.I %预处理 进行灰度处理和边缘检测 function btnGray1_Callback(hObject, eventdata, handles) %#ok<*INUSL> I=handles.I; I = rgb2gray(I); axes(handles.axes2) %将Tag值为axes1的坐标轴置为当前 imshow(I,[]); %解决图像太大无法显示的问题 title('预灰度处理'); figure,imhist(I);title('灰度图直方图'); handles.gray1=I; %更新原图 % Update handles structure guidata(hObject, handles); %% % 边缘检测. function btnEdge_Callback(hObject, eventdata, handles) I=handles.gray1; % 关于edge % 指定要检测的边缘的方向。Sobel 和 Prewitt 方法可以检测垂直方向和/或水平方向的边缘。 % Roberts 方法可以检测与水平方向成 45 度角和/或 135 度角的边缘。 % 第三个参数为二值化阈值，把比该值大的置为1 % 仅当 method 是 'Sobel'、'Prewitt' 或 'Roberts' 时，此语法才有效。 if handles.FunctionSwitch==1 edit2_a=get(handles.edit2,'string'); edit2_aa=str2double(edit2_a); I = edge(I, 'Sobel', edit2_aa, 'both'); axes(handles.axes3) %将Tag值为axes1的坐标轴置为当前 imshow(I,[]); %解决图像太大无法显示的问题. title('预处理边缘检测'); else axes(handles.axes3) %将Tag值为axes1的坐标轴置为当前 imshow(I,[]); %解决图像太大无法显示的问题. title('跳过边缘检测'); end handles.edge=I; %更新原图 % Update handles structure guidata(hObject, handles); %% 边缘检测参数调试 function edit2_Callback(hObject, eventdata, handles) guidata(hObject, handles); %% 车牌定位 % 图像腐蚀. function btnFushi_Callback(hObject, eventdata, handles) I=handles.edge; % 关于imerode() 腐蚀图像 % J = imerode(I,SE) 腐蚀灰度图像、二值图像或压缩二值图像 I，返回腐蚀图像 J。 % SE 是结构元素对象或结构元素对象的数组，由 strel 或 offsetstrel 函数返回。 if handles.FunctionSwitch==1 %se=[1;1;1]; edit3_a=get(handles.edit3,'string'); edit3_aa=round(str2double(edit3_a)); SE = strel('rectangle',[edit3_aa,1]); I = imerode(I, SE); axes(handles.axes4) %将Tag值为axes1的坐标轴置为当前 imshow(I,[]); %解决图像太大无法显示的问题 title('车牌定位图像腐蚀'); else axes(handles.axes4) %将Tag值为axes1的坐标轴置为当前 imshow(I,[]); %解决图像太大无法显示的问题 title('跳过图像腐蚀'); end handles.Fushi=I; %更新原图 guidata(hObject, handles); %% 车牌定位 % 平滑处理 function btnSoft_Callback(hObject, eventdata, handles) I=handles.Fushi; % imclose函数，即闭运算：用结构元素对图像先膨胀，再腐蚀。 % 闭运算可以用来融合窄的缺口和细长的弯口，去掉小洞，填补轮廓上的缝隙 % 本部分的结构元素采用一个大小为 [n n] 的矩形结构 if handles.FunctionSwitch==1 edit4_a=get(handles.edit4,'string'); edit4_aa=round(str2double(edit4_a)); se = strel('rectangle', [edit4_aa, edit4_aa]); I = imclose(I, se); %使用闭运算进行平滑处理 axes(handles.axes5) %将Tag值为axes1的坐标轴置为当前 imshow(I,[]); %解决图像太大无法显示的问题 tit