matlab gui 模板匹配的交通标志识别系统

Matlab GUI可以用来构建一个交通标志识别系统，其中模板匹配是一种常见的图像处理技术。

首先，需要收集大量的交通标志图像，并将它们存储在一个数据库中。然后，可以使用Matlab中的图像处理工具箱中的模板匹配函数来实现标志的识别。

以下是实现该系统的一些步骤：

1. 在Matlab中创建一个GUI界面，包括一个用于显示图像的画布和一些控制按钮。

2. 将所有交通标志图像加载到Matlab中，并将它们存储在一个数据库中。可以使用Matlab的Image Datastore函数，该函数可以轻松地将图像加载到内存中。

3. 实现一个模板匹配算法，该算法可以在输入的图像中查找与数据库中存储的标志最相似的匹配项。可以使用Matlab中的imread、imresize、imfilter和normxcorr2等函数来实现模板匹配。

4. 在GUI界面中添加一个按钮，当用户点击该按钮时，可以调用模板匹配算法来识别图像中的交通标志。

5. 实现一个交通标志库，该库可以存储每个标志的名称和对应的图像。

6. 当模板匹配算法找到与输入图像匹配的标志时，可以在GUI界面上显示该标志的名称和图像。

需要注意的是，模板匹配可能不是最优的方法来实现交通标志识别系统。其他更高级的技术，如卷积神经网络（CNN），可以更准确地识别交通标志。

相关问题

matlab gui 模板匹配的交通标志识别系统的代码

以下是一个简单的 MATLAB GUI 模板匹配的交通标志识别系统的代码示例：

function varargout = traffic_sign_recognition(varargin)
% TRAFFIC_SIGN_RECOGNITION MATLAB code for traffic_sign_recognition.fig
%      TRAFFIC_SIGN_RECOGNITION, by itself, creates a new TRAFFIC_SIGN_RECOGNITION or raises the existing
%      singleton*.
%
%      H = TRAFFIC_SIGN_RECOGNITION returns the handle to a new TRAFFIC_SIGN_RECOGNITION or the handle to
%      the existing singleton*.
%
%      TRAFFIC_SIGN_RECOGNITION('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in TRAFFIC_SIGN_RECOGNITION.M with the given input arguments.
%
%      TRAFFIC_SIGN_RECOGNITION('Property','Value',...) creates a new TRAFFIC_SIGN_RECOGNITION or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before traffic_sign_recognition_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to traffic_sign_recognition_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 traffic_sign_recognition

% Last Modified by GUIDE v2.5 31-Mar-2021 18:53:42

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @traffic_sign_recognition_OpeningFcn, ...
                   'gui_OutputFcn',  @traffic_sign_recognition_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 traffic_sign_recognition is made visible.
function traffic_sign_recognition_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 traffic_sign_recognition (see VARARGIN)

% Choose default command line output for traffic_sign_recognition
handles.output = hObject;

% Update handles structure
guidata(hObject, handles);

% UIWAIT makes traffic_sign_recognition wait for user response (see UIRESUME)
% uiwait(handles.figure1);

% Load the templates for each traffic sign
handles.stop_template = imread('stop.png');
handles.yield_template = imread('yield.png');
handles.no_entry_template = imread('no_entry.png');

% Set the default image to display
handles.current_image = imread('test_image.png');
axes(handles.original_image);
imshow(handles.current_image);

% Update handles structure
guidata(hObject, handles);


% --- Outputs from this function are returned to the command line.
function varargout = traffic_sign_recognition_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 button press in stop_button.
function stop_button_Callback(hObject, eventdata, handles)
% hObject    handle to stop_button (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Perform template matching with the stop sign template
[~, match_location] = match_template(handles.current_image, handles.stop_template);

% Display the matched template location on the image
axes(handles.original_image);
imshow(handles.current_image);
hold on;
rectangle('Position', [match_location(1), match_location(2), size(handles.stop_template, 2), size(handles.stop_template, 1)], 'EdgeColor', 'r', 'LineWidth', 2);
hold off;


% --- Executes on button press in yield_button.
function yield_button_Callback(hObject, eventdata, handles)
% hObject    handle to yield_button (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Perform template matching with the yield sign template
[~, match_location] = match_template(handles.current_image, handles.yield_template);

% Display the matched template location on the image
axes(handles.original_image);
imshow(handles.current_image);
hold on;
rectangle('Position', [match_location(1), match_location(2), size(handles.yield_template, 2), size(handles.yield_template, 1)], 'EdgeColor', 'g', 'LineWidth', 2);
hold off;


% --- Executes on button press in no_entry_button.
function no_entry_button_Callback(hObject, eventdata, handles)
% hObject    handle to no_entry_button (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Perform template matching with the no entry sign template
[~, match_location] = match_template(handles.current_image, handles.no_entry_template);

% Display the matched template location on the image
axes(handles.original_image);
imshow(handles.current_image);
hold on;
rectangle('Position', [match_location(1), match_location(2), size(handles.no_entry_template, 2), size(handles.no_entry_template, 1)], 'EdgeColor', 'b', 'LineWidth', 2);
hold off;


% --- Executes on button press in load_image_button.
function load_image_button_Callback(hObject, eventdata, handles)
% hObject    handle to load_image_button (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Open a file dialog to select an image file
[filename, pathname] = uigetfile({'*.png';'*.jpg';'*.bmp'}, 'Select an image file');

% If the user did not cancel the file dialog, load the selected image
if ~(isequal(filename,0) || isequal(pathname,0))
    handles.current_image = imread([pathname filename]);
    axes(handles.original_image);
    imshow(handles.current_image);
end

% Update handles structure
guidata(hObject, handles);


% --- Executes on button press in reset_button.
function reset_button_Callback(hObject, eventdata, handles)
% hObject    handle to reset_button (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Set the default image to display
handles.current_image = imread('test_image.png');
axes(handles.original_image);
imshow(handles.current_image);

% Update handles structure
guidata(hObject, handles);


function [correlation_map, match_location] = match_template(input_image, template)
% Perform template matching with the input image and the template
correlation_map = normxcorr2(template, input_image);

% Find the location with the highest correlation coefficient
[max_correlation, max_index] = max(abs(correlation_map(:)));
[match_row, match_col] = ind2sub(size(correlation_map), max_index);

% Calculate the location of the matched template in the input image
match_location = [match_col - size(template, 2), match_row - size(template, 1)];

该代码使用 MATLAB GUI，可以加载三个交通标志的模板图像，然后对于任何输入图像，分别用这三个模板图像执行模板匹配，以检测输入图像中是否存在这些交通标志。在 GUI 中，用户可以选择加载输入图像、显示匹配结果并重置 GUI。

matlab gui 基于模板匹配的交通标志识别系统的代码

以下是基于模板匹配的交通标志识别系统的MATLAB GUI代码：

function varargout = TrafficSignRecognition(varargin)
% TRAFFICSIGNRECOGNITION MATLAB code for TrafficSignRecognition.fig
%      TRAFFICSIGNRECOGNITION, by itself, creates a new TRAFFICSIGNRECOGNITION or raises the existing
%      singleton*.
%
%      H = TRAFFICSIGNRECOGNITION returns the handle to a new TRAFFICSIGNRECOGNITION or the handle to
%      the existing singleton*.
%
%      TRAFFICSIGNRECOGNITION('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in TRAFFICSIGNRECOGNITION.M with the given input arguments.
%
%      TRAFFICSIGNRECOGNITION('Property','Value',...) creates a new TRAFFICSIGNRECOGNITION or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before TrafficSignRecognition_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to TrafficSignRecognition_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 TrafficSignRecognition

% Last Modified by GUIDE v2.5 30-Mar-2021 14:57:34

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @TrafficSignRecognition_OpeningFcn, ...
                   'gui_OutputFcn',  @TrafficSignRecognition_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 TrafficSignRecognition is made visible.
function TrafficSignRecognition_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 TrafficSignRecognition (see VARARGIN)

% Choose default command line output for TrafficSignRecognition
handles.output = hObject;

% Update handles structure
guidata(hObject, handles);

% UIWAIT makes TrafficSignRecognition wait for user response (see UIRESUME)
% uiwait(handles.figure1);

% --- Outputs from this function are returned to the command line.
function varargout = TrafficSignRecognition_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 button press in pushbutton1.
function pushbutton1_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
global Img;
global f;
[filename, pathname] = uigetfile({'*.jpg';'*.bmp'}, 'File Selector');
Img = imread([pathname filename]);
axes(handles.axes1);
imshow(Img);

% --- Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton2 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
global Img;
global f;
f=0;
if size(Img,3)==3 
    Img=rgb2gray(Img);
end
Img=medfilt2(Img,[3 3]); 
BW=edge(Img,'sobel'); 
imshow(BW);
[L, num]=bwlabel(BW); 
STATS=regionprops(L,'all');
cc=[];
removed=0;
for i=1:num 
    dd=STATS(i).Area; 
    if (dd < 200) 
        L(L==i)=0; 
        removed = removed + 1;
        num=num-1;
    end
end
[L2, num2]=bwlabel(L); 
for i=1:num2 
    dd=STATS(i).BoundingBox; 
    dd(1)=dd(1)-15;
    dd(2)=dd(2)-15;
    dd(3)=dd(3)+30;
    dd(4)=dd(4)+30;
    rectangle('position',dd,'edgecolor','r','linewidth',2);
    crop=imcrop(L2,dd); 
    crop=imresize(crop,[40 40]); 
    cc=[cc crop];
end
if (num > 0)
    f=1;
end
axes(handles.axes2);
imshow(~BW);


% --- Executes on button press in pushbutton3.
function pushbutton3_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton3 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
global f;
if (f==0)
    msgbox('Please select the image first.','Error');
    return;
end
im=imresize(cc,[40 40]);
for n=1:40
    for m=1:40
        temp=im(n,m);
        if (temp>100)
            im(n,m)=1;
        else
            im(n,m)=0;
        end
    end
end
axes(handles.axes3);
imshow(im);
letter=readLetter(im);
msgbox(strcat('The Character is : ',letter),'Result');


% --- Executes on button press in pushbutton4.
function pushbutton4_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton4 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
close all;
clc;


% --- Executes when user attempts to close figure1.
function figure1_CloseRequestFcn(hObject, eventdata, handles)
% hObject    handle to figure1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
% Hint: delete(hObject) closes the figure
delete(hObject);

此代码使用了模板匹配技术来识别交通标志，首先用户需选择一张图片，然后程序将进行图像处理，对可能是交通标志的区域进行定位，并将其通过模板匹配技术识别出字符。可以通过修改匹配字符的模板以及修改程序中的阈值来提高识别率。