【人脸识别】基于matlab GUI LPP人脸特征提取【含Matlab源码 1491期】

举报
海神之光 发表于 2022/05/29 04:23:59 2022/05/29
3.2k+ 0 0
【摘要】 一、简介 理论知识参考文献:基于局部特征提取人脸识别方法优化研究 二、部分源代码 function varargout = spectacles_lpp_classification(varargi...

一、简介

理论知识参考文献:基于局部特征提取人脸识别方法优化研究

二、部分源代码

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

% Last Modified by GUIDE v2.5 25-May-2021 21:40:39

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

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

% Update handles structure
guidata(hObject, handles);

% UIWAIT makes spectacles_lpp_classification wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = spectacles_lpp_classification_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 selection change in lstPositive.
function lstPositive_Callback(hObject, eventdata, handles)
% hObject    handle to lstPositive (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: contents = cellstr(get(hObject,'String')) returns lstPositive contents as cell array
%        contents{get(hObject,'Value')} returns selected item from lstPositive
displayCurrentItem(hObject,handles)

% --- Executes during object creation, after setting all properties.
function lstPositive_CreateFcn(hObject, eventdata, handles)
% hObject    handle to lstPositive (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: listbox controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor','white');
end

function decision = getDecision(current_image)
global projected_data Positive_mean sgn;

for i = 1:length(current_image)
    decision(i) = (sgn(Positive_mean(1),Positive_mean(2))* ...
        sgn(projected_data(current_image(i),1),projected_data( ...
        current_image(i),2))>0);
end

function displayCurrentItem(hObject,handles)
global dat_a_ height width projected_data;

contents = cellstr(get(hObject,'String'));
current_image = str2double(contents{get(hObject,'Value')});
datalet = dat_a_(current_image,1:end-1);
img = uint8(reshape(datalet,height,width));
imshow(img,'Parent',handles.plotArea2);

if (~isempty(projected_data))
    h = get(handles.plotArea1,'Children');
    allAvailableTypes = get(h,'type');
    [tf,loc]=ismember('text',allAvailableTypes);
    if(~tf)
        text(projected_data(current_image,1), ...
            projected_data(current_image,2), num2str(current_image), ...
            'Parent',handles.plotArea1,'FontWeight','bold');
    else
        set(h(loc),'Position',[projected_data(current_image,1), ...
            projected_data(current_image,2)],'String', ...
            num2str(current_image));
    end
    
    if(getDecision(current_image))
        set(handles.result,'String','With Spectacles');
    else
        set(handles.result,'String','Without Spectacles');
    end
end

% --- Executes on selection change in lstTest.
function lstTest_Callback(hObject, eventdata, handles)
% hObject    handle to lstTest (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: contents = cellstr(get(hObject,'String')) returns lstTest contents as cell array
%        contents{get(hObject,'Value')} returns selected item from lstTest
displayCurrentItem(hObject,handles)
% --- Executes during object creation, after setting all properties.
function lstTest_CreateFcn(hObject, eventdata, handles)
% hObject    handle to lstTest (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: listbox controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor','white');
end
% --- 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 dat_a_ Name_Database height width projected_data;

dat_a_=[];
Name_Database=[];
height=[];
width=[];
projected_data=[];

% Loading the database file
filename = uigetfile('*.mat', 'Select database file');
load(filename);
dat_a_ = data;

%Check if it is loaded correctly
if exist('Database_name','var')
    Name_Database = Database_name;
    
    % Get the number of elements loaded
    m = size(dat_a_,1);
    pos_count = sum(dat_a_(:,end));
    neg_count = m - pos_count;
    
    % Show a notification of how many elements are loaded
    set(handles.txtloadPrompt,'String',sprintf('%d items loaded',m));
    
    % Calculating amount of training data
    % The rule of selection: See whether the positive or the
    % negative samples are fewer in amount. Take half of the data from the
    % fewer class and an equal number of data from the other class. So,
    % the total number of training data = 2 * (1/2) * min(amount of data in
    % class with sunglass, amount of data in class without sunglass)
    training_size = min(pos_count,neg_count);
    test_size = m - training_size;
    set(handles.txtSizeTraining,'String',num2str(training_size));
    set(handles.txtSizeTesting,'String',num2str(test_size));
else
    msgbox('The database could not be loaded');
    
end
function txtSizeTraining_Callback(hObject, eventdata, handles)
% hObject    handle to txtSizeTraining (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of txtSizeTraining as text
%        str2double(get(hObject,'String')) returns contents of txtSizeTraining as a double
global dat_a_;
m = size(dat_a_,1);
m_n = str2double(get(hObject, 'String'));
set(handles.txtSizeTesting,'String',m - m_n);
% --- Executes during object creation, after setting all properties.
function txtSizeTraining_CreateFcn(hObject, eventdata, handles)
% hObject    handle to txtSizeTraining (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor','white');
end
function txtSizeTesting_Callback(hObject, eventdata, handles)
% hObject    handle to txtSizeTesting (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of txtSizeTesting as text
%        str2double(get(hObject,'String')) returns contents of txtSizeTesting as a double
% --- Executes during object creation, after setting all properties.
function txtSizeTesting_CreateFcn(hObject, eventdata, handles)
% hObject    handle to txtSizeTesting (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor','white');
end
  
 

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.
[5]李奇杰,杨洪臣.基于局部特征提取人脸识别方法优化研究[J].金融科技时代. 2021,29(04)

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/113694525

【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

作者其他文章

评论(0

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。