图像识别基于模板匹配之手写英文字母识别matlab源码

Posted 2021-05-24 Matlab走起

简介

在模式识别中一个最基本的方法，就是模板匹配法(template matching)，它基本上是一种统计识别方法。  为了在图像中检测出已知形状的目标物，我们使用这个目标物的形状模板（或窗口）与图像匹配，在约定的某种准则下检测出目标物图像，通常称其为模板匹配法。它能检测出图像中上线条、曲线、图案等等。它的应用包括：目标模板与侦察图像相匹配；文字识别和语音识别等。

原理

我们采用以下的算式来衡量模板T（m,n)与所覆盖的子图Sij（i,j)的关系，已知原始图像S(W,H)，如图所示：

利用以下公式衡量它们的相似性：

上述公式中第一项为子图的能量，第三项为模板的能量，都和模板匹配无关。第二项是模板和子图的互为相关，随（i,j）而改变。当模板和子图匹配时，该项由最大值。在将其归一化后，得到模板匹配的相关系数：

当模板和子图完全一样时，相关系数R(i,j) = 1。在被搜索图S中完成全部搜索后，找出R的最大值Rmax(im,jm)，其对应的子图Simjm即位匹配目标。显然，用这种公式做图像匹配计算量大、速度慢。我们可以使用另外一种算法来衡量T和Sij的误差，其公式为：

计算两个图像的向量误差，可以增加计算速度，根据不同的匹配方向选取一个误差阀值E0，当E(i,j)>E0时就停止该点的计算，继续下一点的计算。

最终的实验证明，被搜索的图像越大，匹配的速度越慢；模板越小，匹配的速度越快；阀值的大小对匹配速度影响大；

 

改进的模板匹配算法

    将一次的模板匹配过程更改为两次匹配；

    第一次匹配为粗略匹配。取模板的隔行隔列数据，即1/4的模板数据，在被搜索土上进行隔行隔列匹配，即在原图的1/4范围内匹配。由于数据量大幅减少，匹配速度显著提高。同时需要设计一个合理的误差阀值E0：

E0 = e0 * (m + 1) / 2 * (n + 1) / 2

式中：e0为各点平均的最大误差，一般取40~50即可；

          m,n为模板的长宽；

第二次匹配是精确匹配。在第一次误差最小点（imin, jmin)的邻域内，即在对角点为（imin -1, jmin -1), (Imin + 1, jmin + 1)的矩形内，进行搜索匹配，得到最后结果。

流程图

  算法实现的关键问题是进行匹配，求最小距离，其解决方法是和训练集的样品逐一进行距离的计算，最后找出最相邻的样品得到类别号。

function varargout = IdentifyEnglish(varargin)
% IDENTIFYENGLISH MATLAB code for IdentifyEnglish.fig
%      IDENTIFYENGLISH, by itself, creates a new IDENTIFYENGLISH or raises the existing
%      singleton*.
%
%      H = IDENTIFYENGLISH returns the handle to a new IDENTIFYENGLISH or the handle to
%      the existing singleton*.
%
%      IDENTIFYENGLISH('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in IDENTIFYENGLISH.M with the given input arguments.
%
%      IDENTIFYENGLISH('Property','Value',...) creates a new IDENTIFYENGLISH or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before IdentifyEnglish_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to IdentifyEnglish_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 IdentifyEnglish
 
% Last Modified by GUIDE v2.5 05-May-2019 16:46:08
 
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @IdentifyEnglish_OpeningFcn, ...
                   'gui_OutputFcn',  @IdentifyEnglish_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 IdentifyEnglish is made visible.
function IdentifyEnglish_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 IdentifyEnglish (see VARARGIN)
 
% Choose default command line output for IdentifyEnglish
handles.output = hObject;
 
% Update handles structure
guidata(hObject, handles);
 
% UIWAIT makes IdentifyEnglish wait for user response (see UIRESUME)
% uiwait(handles.figure1);
axis([0 240 0 240]);
 
% --- Outputs from this function are returned to the command line.
function varargout = IdentifyEnglish_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;
clc;
 
% --- Executes on button press in pushbuttonSave.
function pushbuttonSave_Callback(hObject, eventdata, handles)
% hObject    handle to pushbuttonSave (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
[f, p] = uiputfile({'*.bmp'},'save image file');%打开用于保存文件的对话框
str = strcat(p,f);  %连接两个字符串（把路径和文件串联起来）
px = getframe(handles.axes1);%使用 getframe 来将图像捕获为影片帧。
CurImg = frame2im(px);%然后，frame2im将捕获的影片帧转换为图像数据。
imwrite(CurImg,str,'bmp');
 
 
% --- Executes on mouse press over figure background, over a disabled or
% --- inactive control, or over an axes background.
function figure1_WindowButtonDownFcn(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)
global ButtonDown pos1
if strcmp(get(gcf,'SelectionType'),'normal')
    ButtonDown = 1;
    pos1 = get(handles.axes1,'CurrentPoint');
%     disp(pos1);
end
 
 
 
 
% --- Executes on mouse motion over figure - except title and menu.
function figure1_WindowButtonMotionFcn(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)
global ButtonDown pos1
if(ButtonDown == 1)
    pos = get(handles.axes1,'CurrentPoint');
    line([pos1(1,1) pos(1,1)],[pos1(1,2) pos(1,2)],'LineStyle','-','LineWidth',8,'color','black','marker','.','markerSize',25);
pos1 = pos;
end
 
 
% --- Executes on mouse press over figure background, over a disabled or
% --- inactive control, or over an axes background.
function figure1_WindowButtonUpFcn(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)
global ButtonDown
ButtonDown = 0;
 
 
% --- Executes on button press in pushbuttonClear.
function pushbuttonClear_Callback(hObject, eventdata, handles)
% hObject    handle to pushbuttonClear (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
cla;
 
% --- Executes on button press in pushbuttonIdentify.
function pushbuttonIdentify_Callback(hObject, eventdata, handles)
% hObject    handle to pushbuttonIdentify (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
strSample = 'pattern.mat';
px = getframe(handles.axes1);
CurImg = frame2im(px);
%figure; imshow(CurImg);
CurFea = GetFeature(CurImg);%把CurImg属性改成为5x5
load('pattern.mat');
label = Identify(pattern,CurFea);
% msgbox(['字母识别为: ' label],'msg');
str = ['字母识别为：',label];
f = warndlg(str,'字母识别结果');

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