【手写数字识别】基于matlab GUI SVM手写数字识别【含Matlab源码 676期】

举报
海神之光 发表于 2022/05/29 05:06:12 2022/05/29
【摘要】 一、 SVM简介 支持向量机(Support Vector Machine)是Cortes和Vapnik于1995年首先提出的,它在解决小样本、非线性及高维模式识别中表现出许多特有的优势,并能够推广应用...

一、 SVM简介

支持向量机(Support Vector Machine)是Cortes和Vapnik于1995年首先提出的,它在解决小样本、非线性及高维模式识别中表现出许多特有的优势,并能够推广应用到函数拟合等其他机器学习问题中。
1 数学部分
1.1 二维空间
在这里插入图片描述
在这里插入图片描述
在这里插入图片描述
在这里插入图片描述
在这里插入图片描述
在这里插入图片描述
在这里插入图片描述
在这里插入图片描述
在这里插入图片描述
2 算法部分
在这里插入图片描述
在这里插入图片描述
在这里插入图片描述
在这里插入图片描述

二、源代码

function varargout = DigitClassifyUI(varargin)
%  

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

% Last Modified by GUIDE v2.5 10-Feb-2021 18:44:08

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

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

% Update handles structure
guidata(hObject, handles);

% UIWAIT makes DigitClassifyUI wait for user response (see UIRESUME)
% uiwait(handles.figure1);
global FigHandle AxesHandle RectHandle;
FigHandle = handles.output;
AxesHandle = handles.axes_write;
MouseDraw();
axis(handles.axes_write,[1 400 1 400]);    % 设定图轴范围
RectHandle = rectangle(handles.axes_write,'Position',[80,66,240,268],'LineStyle','--','EdgeColor','#a9a9a9');

% --- Outputs from this function are returned to the command line.
function varargout = DigitClassifyUI_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)


% --- Executes on button press in pushbutton_loadImage.
function pushbutton_loadImage_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton_loadImage (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
global RectHandle;
cla(handles.axes_write, 'reset')
set(handles.axes_write, 'Visible','off');

set(handles.output, 'Pointer', 'arrow');
axis(handles.axes_write,[1 400 1 400]);    % 设定图轴范围
RectHandle = rectangle(handles.axes_write,'Position',[80,66,240,268],'LineStyle','--','EdgeColor','#a9a9a9');

% 弹出文件选择框,选择一张图片
[file,path] = uigetfile({'*.jpg;*.jpeg;*.png;*.bmp;*.tif',...
    '图片文件 (*.jpg,*.jpeg,*.png,*.bmp,*.tif)'},'选择一张图片');
if isequal(file,0) % 若文件不存在
    set(handles.edit_imagePath, 'String','请选择一张图片');
else
    fileName= fullfile(path, file); % 选择的图片绝对路径
    set(handles.edit_imagePath, 'String', fileName); % 显示选择的图片路径
    InputImage = imread(fileName);
    image(handles.axes_raw, InputImage);
    set(handles.axes_raw, 'Visible','off');
    
    set(gcf, 'Pointer', 'arrow');
    set(gcf, 'WindowButtonMotionFcn', '')
    set(gcf, 'WindowButtonUpFcn', '')
    
    
    % 开始执行预处理
    if numel(size(InputImage))==3
        InputImage = rgb2gray(InputImage);   % 灰度化图片
        axes(handles.axes_gray);
        imshow(InputImage);
    else
        axes(handles.axes_gray);
        imshow(InputImage);
    end
    % 二值化
    InputImage = imbinarize(InputImage);
    axes(handles.axes_binary);
    imshow(InputImage);
    
    % 特征提取
    InputImage = imresize(InputImage, [28, 28]);
    cellSize = [4 4];
    [~, vis4x4] = extractHOGFeatures(InputImage,'CellSize',[4 4]);
    axes(handles.axes_features);
    plot(vis4x4);
    
    load('trainedSvmModel.mat','classifier');
    features(1, :) = extractHOGFeatures(InputImage,'CellSize',cellSize);
    predictedLabel = predict(classifier, features);
    str = string(predictedLabel);
    set(handles.text_result, 'String', str);
end
axes(handles.axes_write);
MouseDraw();
% set(gcf, 'WindowButtonDownFcn', '');



% --- Executes on button press in pushbutton_load.
function pushbutton_load_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton_load (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
global RectHandle;
axis(handles.axes_write,[1 400 1 400]);    % 设定图轴范围
set(handles.edit_imagePath, 'String','请选择一张图片');
delete(RectHandle);
h=getframe(handles.axes_write);
imwrite(h.cdata,'writedImage.jpg');

InputImage = imread('writedImage.jpg');
% InputImage = cat(3, InputImage,InputImage,InputImage);
image(handles.axes_raw,InputImage);
set(handles.axes_raw, 'Visible','off');
axis(handles.axes_write,[1 400 1 400]);    % 设定图轴范围
RectHandle = rectangle(handles.axes_write,'Position',[80,66,240,268],'LineStyle','--','EdgeColor','#a9a9a9');
global FigHandle
set(FigHandle, 'Pointer', 'arrow');
set(FigHandle, 'WindowButtonMotionFcn', '')
set(FigHandle, 'WindowButtonUpFcn', '')
set(FigHandle, 'WindowButtonDownFcn', '');

% 开始执行预处理
if numel(size(InputImage))==3
    InputImage = rgb2gray(InputImage);   % 灰度化图片
    axes(handles.axes_gray);
    imshow(InputImage);
else
    axes(handles.axes_gray);
    imshow(InputImage);
end
% 二值化
InputImage = imbinarize(InputImage);
axes(handles.axes_binary);
imshow(InputImage);

% 特征提取
InputImage = imresize(InputImage, [28, 28]);
cellSize = [4 4];
[~, vis4x4] = extractHOGFeatures(InputImage,'CellSize',[4 4]);
axes(handles.axes_features);
plot(vis4x4);

load('trainedSvmModel.mat','classifier');
features(1, :) = extractHOGFeatures(InputImage,'CellSize',cellSize);
predictedLabel = predict(classifier, features);
str = string(predictedLabel);
set(handles.text_result, 'String', str);
MouseDraw();

% --- Executes on button press in pushbutton_clear.
function pushbutton_clear_Callback(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)
global RectHandle;
global FigHandle
set(FigHandle, 'Pointer', 'arrow');
set(FigHandle, 'WindowButtonMotionFcn', '')
set(FigHandle, 'WindowButtonUpFcn', '')
set(FigHandle, 'WindowButtonDownFcn', '');
set(handles.edit_imagePath, 'String','请选择一张图片');
set(handles.text_result, 'String', 'None');
cla(handles.axes_write, 'reset')
set(handles.axes_write, 'Visible','off');
cla(handles.axes_raw, 'reset')
set(handles.axes_raw, 'Visible','off');
cla(handles.axes_gray, 'reset')
set(handles.axes_gray, 'Visible','off');
cla(handles.axes_binary, 'reset')
set(handles.axes_binary, 'Visible','off');
cla(handles.axes_features, 'reset')
set(handles.axes_features, 'Visible','off');
set(handles.output, 'Pointer', 'arrow');

axis(handles.axes_write,[1 400 1 400]);    % 设定图轴范围
RectHandle = rectangle(handles.axes_write,'Position',[80,66,240,268],'LineStyle','--','EdgeColor','#a9a9a9');
MouseDraw();

  
 
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9
  • 10
  • 11
  • 12
  • 13
  • 14
  • 15
  • 16
  • 17
  • 18
  • 19
  • 20
  • 21
  • 22
  • 23
  • 24
  • 25
  • 26
  • 27
  • 28
  • 29
  • 30
  • 31
  • 32
  • 33
  • 34
  • 35
  • 36
  • 37
  • 38
  • 39
  • 40
  • 41
  • 42
  • 43
  • 44
  • 45
  • 46
  • 47
  • 48
  • 49
  • 50
  • 51
  • 52
  • 53
  • 54
  • 55
  • 56
  • 57
  • 58
  • 59
  • 60
  • 61
  • 62
  • 63
  • 64
  • 65
  • 66
  • 67
  • 68
  • 69
  • 70
  • 71
  • 72
  • 73
  • 74
  • 75
  • 76
  • 77
  • 78
  • 79
  • 80
  • 81
  • 82
  • 83
  • 84
  • 85
  • 86
  • 87
  • 88
  • 89
  • 90
  • 91
  • 92
  • 93
  • 94
  • 95
  • 96
  • 97
  • 98
  • 99
  • 100
  • 101
  • 102
  • 103
  • 104
  • 105
  • 106
  • 107
  • 108
  • 109
  • 110
  • 111
  • 112
  • 113
  • 114
  • 115
  • 116
  • 117
  • 118
  • 119
  • 120
  • 121
  • 122
  • 123
  • 124
  • 125
  • 126
  • 127
  • 128
  • 129
  • 130
  • 131
  • 132
  • 133
  • 134
  • 135
  • 136
  • 137
  • 138
  • 139
  • 140
  • 141
  • 142
  • 143
  • 144
  • 145
  • 146
  • 147
  • 148
  • 149
  • 150
  • 151
  • 152
  • 153
  • 154
  • 155
  • 156
  • 157
  • 158
  • 159
  • 160
  • 161
  • 162
  • 163
  • 164
  • 165
  • 166
  • 167
  • 168
  • 169
  • 170
  • 171
  • 172
  • 173
  • 174
  • 175
  • 176
  • 177
  • 178
  • 179
  • 180
  • 181
  • 182
  • 183
  • 184
  • 185
  • 186
  • 187
  • 188
  • 189
  • 190
  • 191
  • 192
  • 193
  • 194
  • 195
  • 196
  • 197
  • 198
  • 199
  • 200
  • 201
  • 202
  • 203
  • 204
  • 205
  • 206
  • 207
  • 208
  • 209
  • 210
  • 211
  • 212
  • 213
  • 214
  • 215
  • 216
  • 217
  • 218
  • 219
  • 220
  • 221
  • 222
  • 223
  • 224
  • 225
  • 226
  • 227
  • 228
  • 229
  • 230
  • 231
  • 232

三、运行结果

在这里插入图片描述

四、matlab版本及参考文献

1 matlab版本
2014a

2 参考文献
[1] 蔡利梅.MATLAB图像处理——理论、算法与实例分析[M].清华大学出版社,2020.
[2]杨丹,赵海滨,龙哲.MATLAB图像处理实例详解[M].清华大学出版社,2013.
[3]周品.MATLAB图像处理与图形用户界面设计[M].清华大学出版社,2013.
[4]刘成龙.精通MATLAB图像处理[M].清华大学出版社,2015.

文章来源: qq912100926.blog.csdn.net,作者:海神之光,版权归原作者所有,如需转载,请联系作者。

原文链接:qq912100926.blog.csdn.net/article/details/115410088

【版权声明】本文为华为云社区用户转载文章,如果您发现本社区中有涉嫌抄袭的内容,欢迎发送邮件进行举报,并提供相关证据,一经查实,本社区将立刻删除涉嫌侵权内容,举报邮箱: cloudbbs@huaweicloud.com
  • 点赞
  • 收藏
  • 关注作者

评论(0

0/1000
抱歉,系统识别当前为高风险访问,暂不支持该操作

全部回复

上滑加载中

设置昵称

在此一键设置昵称,即可参与社区互动!

*长度不超过10个汉字或20个英文字符,设置后3个月内不可修改。

*长度不超过10个汉字或20个英文字符,设置后3个月内不可修改。