【图像识别】基于模板匹配实现手写数字识别

最新推荐文章于 2022-11-10 22:22:13 发布

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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：

【图像识别】基于模板匹配实现手写数字识别_matlab

利用以下公式衡量它们的相似性：

【图像识别】基于模板匹配实现手写数字识别_图像处理_02

【图像识别】基于模板匹配实现手写数字识别_图像处理_03

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：

【图像识别】基于模板匹配实现手写数字识别_图像处理_04

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：

【图像识别】基于模板匹配实现手写数字识别_matlab_05

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

【图像识别】基于模板匹配实现手写数字识别_图像处理_06

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

% Last Modified by GUIDE v2.5 28-Apr-2020 11:22:33

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @NumDemo_OpeningFcn, ...
                   'gui_OutputFcn',  @NumDemo_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 NumDemo is made visible.
function NumDemo_OpeningFcn(hObject, ~, 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 NumDemo (see VARARGIN)

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

% Update handles structure
guidata(hObject, handles);

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


% --- Outputs from this function are returned to the command line.
function varargout = NumDemo_OutputFcn(~, ~, 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;
axis([0 250 0 250]);
clc;

% --- Executes on mouse press over figure background, over a disabled or
% --- inactive control, or over an axes background.
function figure1_WindowButtonDownFcn(~, ~, 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');
end

% --- Executes on mouse motion over figure - except title and menu.
function figure1_WindowButtonMotionFcn(~, ~, 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)], 'Color','Black','LineStyle','-', 'LineWidth',8,'Marker','.', 'MarkerSize',20);
    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    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 pushbutton_clear.
function pushbutton_clear_Callback(~, ~, handles)
% hObject    handle to pushbutton_clear (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
%cla;
cla(handles.axes1);

% --- Executes on button press in pushbutton_save.
function pushbutton_save_Callback(~, ~, handles)
% hObject    handle to pushbutton_save (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');
str = strcat(p, f);
px  = getframe(handles.axes3);
curImg = frame2im(px);
imwrite(curImg, str,'bmp');

% --- Executes on button press in pushbutton_classify.
function pushbutton_classify_Callback(~, ~, handles)
% hObject    handle to pushbutton_classify (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
%strSample = 'Data.mat';
cla(handles.axes4,handles.axes5,handles.axes6);
load 'Data.mat';
I1=handles.I1;
curFea = GetFeature(I1);
I2 = Normalize_Img(I1);
bw1 = Bw_Img(I1);
bw2 = Thin_Img(bw1);
bw = bw2;
sz = size(bw);
[r, c] = find(bw==1);
rect = [min(c) min(r) max(c)-min(c) max(r)-min(r)];
vs = rect(1)+rect(3)*[5/12 1/2 7/12];
hs = rect(2)+rect(4)*[1/3 1/2 2/3];
pt1 = [rect(1:2); rect(1:2)+rect(3:4)];
pt2 = [rect(1)+rect(3) rect(2); rect(1) rect(2)+rect(4)];
k1 = (pt1(1,2)-pt1(2,2)) / (pt1(1,1)-pt1(2,1));
x1 = 1:sz(2);
y1 = k1*(x1-pt1(1,1)) + pt1(1,2);
k2 = (pt2(1,2)-pt2(2,2)) / (pt2(1,1)-pt2(2,1));
x2 = 1:sz(2);
y2 = k2*(x2-pt2(1,1)) + pt2(1,2);
    axes(handles.axes4);
    imshow(I2,[]); 
    handles.I2 = I2;
    hold on;
    h = rectangle('Position', [rect(1:2)-1 rect(3:4)+2], 'EdgeColor', 'r', 'LineWidth', 2);
    legend(h, '数字区域标记', 'Location', 'South');
    axes(handles.axes5);
    imshow(bw1,[]);
    handles.bw1 = bw1;
    axes(handles.axes6);
    imshow(bw,[],'Border', 'Loose');
    handles.bw = bw;
    hold on;
    h = [];
    for i = 1 : length(hs)
        h = [h plot([1 sz(2)], [hs(i) hs(i)], 'r-')];
    end
    for i = 1 : length(vs)
        h = [h plot([vs(i) vs(i)], [1 sz(1)], 'g-')];
    end
    h = [h plot(x1, y1, 'y-')];
    h = [h plot(x2, y2, 'm-')];
    legend([h(1) h(4) h(7) h(8)], {'水平线', '竖直线', '左对角线', '右对角线'}, 'Location', 'BestOutside');
    hold off;

%yLabel = euclid(curFea);
yLabel = MaskRecon(Data, curFea);
h = warndlg(num2str(yLabel),'识别结果');



% --- Executes on mouse press over axes background.
function axes1_ButtonDownFcn(hObject, eventdata, handles)
% hObject    handle to axes1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- If Enable == 'on', executes on mouse press in 5 pixel border.
% --- Otherwise, executes on mouse press in 5 pixel border or over pushbutton_clear.
function pushbutton_clear_ButtonDownFcn(hObject, eventdata, handles)
% hObject    handle to pushbutton_clear (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- 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)
[FileName,PathName,FilterIndex] = uigetfile({'*.jpg;*.tif;*.png;*.gif', ...
    '所有图像文件';...
    '*.*','所有文件' },'载入数字图像',...
    '.\\images\\手写数字\\t0.jpg');
if isequal(FileName, 0) || isequal(PathName, 0)
    return;
end
fileName = fullfile(PathName, FileName);
I = imread(fileName);
axes(handles.axes2);
imshow(I);

handles.I = I;
guidata(hObject, handles);



% --- Executes on button press in pushbutton5.
function pushbutton5_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton5 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
I = handles.I;
axes(handles.axes2);
I1 = imcrop(I);
axes(handles.axes3);
imshow(I1);
handles.I1 = I1;
guidata(hObject, handles);


% --- Executes on button press in pushbutton6.
function pushbutton6_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton6 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on button press in pushbutton7.
function pushbutton7_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton7 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
I = getframe(handles.axes1);
handles.I=I;
I1 = frame2im(I);
axes(handles.axes3);
imshow(I1);
handles.I1 = I1;
guidata(hObject, handles);