一、简介
用matlab做的多人场景的人脸识别。先预处理，人脸定位，分割，训练，PCA降维求出协方差矩阵，人脸特征值，然后每个测试的人脸分别进行矩阵求列，作差对比，结果最小的就是目标人脸，输出识别结果，这个设计有可视化GUI用户操作界面。
二、源代码
function varargout = Main(varargin)
% MAIN MATLAB code for Main.fig
% MAIN, by itself, creates a new MAIN or raises the existing
% singleton*.
%
% H = MAIN returns the handle to a new MAIN or the handle to
% the existing singleton*.
%
% MAIN('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in MAIN.M with the given input arguments.
%
% MAIN('Property','Value',...) creates a new MAIN or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before Main_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to Main_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 Main
% Last Modified by GUIDE v2.5 21-Nev-2020 01:12:36
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @Main_OpeningFcn, ...
'gui_OutputFcn', @Main_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 Main is made visible.
function Main_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 Main (see VARARGIN)
% Choose default command line output for Main
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes Main wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = Main_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;
function edit1_Callback(hObject, eventdata, handles)
% hObject handle to edit1 (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 edit1 as text
% str2double(get(hObject,'String')) returns contents of edit1 as a double
% --- Executes during object creation, after setting all properties.
function edit1_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit1 (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 edit2_Callback(hObject, eventdata, handles)
% hObject handle to edit2 (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 edit2 as text
% str2double(get(hObject,'String')) returns contents of edit2 as a double
% --- Executes during object creation, after setting all properties.
function edit2_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit2 (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 edit3_Callback(hObject, eventdata, handles)
% hObject handle to edit3 (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 edit3 as text
% str2double(get(hObject,'String')) returns contents of edit3 as a double
% --- Executes during object creation, after setting all properties.
function edit3_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit3 (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 edit4_Callback(hObject, eventdata, handles)
% hObject handle to edit4 (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 edit4 as text
% str2double(get(hObject,'String')) returns contents of edit4 as a double
% --- Executes during object creation, after setting all properties.
function edit4_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit4 (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
% --- Executes on button press in pushbutton1.
function pushbutton1_Callback(hObject, eventdata, handles)
set(handles.edit1,'string','思路：提前制作好合影中人员的人脸库，进行训练好')
% --- Executes on button press in pushbuttonfacedetect.
function pushbuttonfacedetect_Callback(hObject, eventdata, handles)
% hObject handle to pushbuttonfacedetect (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
%如果还没载入图像
if(~isfield(handles,'I'))
str = sprintf('你还未载入图像！');
set(handles.reporttext,'string',str);
return
end
I = handles.I;
[faceI,box] = facedetect(I);
if(~isempty(faceI)) %如果检测出人脸
axes(handles.axes1)
rectangle('Position',box,'EdgeColor','r');%原图圈起来
axes(handles.axes2)
imshow(faceI)
else
set(handles.reporttext,'string','没有检测到人脸,无法识别！');
end
handles.faceI = faceI;
% Update handles structure
guidata(hObject, 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 pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles)
set(handles.edit2,'string','思路：从合影中，定位到人脸，并且分割到对应框里面显示')
% --- Executes on button press in pushbuttonfacedetect.
function pushbuttonfacedetect_Callback(hObject, eventdata, handles)
% hObject handle to pushbuttonfacedetect (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
%如果还没载入图像
if(~isfield(handles,'I'))
str = sprintf('你还未载入图像！');
set(handles.reporttext,'string',str);
return
end
I = handles.I;
[faceI,box] = facedetect(I);
if(~isempty(faceI)) %如果检测出人脸
axes(handles.axes1)
rectangle('Position',box,'EdgeColor','r');%原图圈起来
axes(handles.axes2)
imshow(faceI)
else
set(handles.reporttext,'string','没有检测到人脸,无法识别！');
end
handles.faceI = faceI;
% Update handles structure
guidata(hObject, 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)
% --- Executes on button press in pushbutton3.
function pushbutton3_Callback(hObject, eventdata, handles)
set(handles.edit3,'string','思路：分别对每个人脸进行识别出是谁')
% --- Executes on button press in pushbuttonfacedetect.
function pushbuttonfacedetect_Callback(hObject, eventdata, handles)
% hObject handle to pushbuttonfacedetect (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
%如果还没载入图像
if(~isfield(handles,'I'))
str = sprintf('你还未载入图像！');
set(handles.reporttext,'string',str);
return
end
I = handles.I;
[faceI,box] = facedetect(I);
if(~isempty(faceI)) %如果检测出人脸
axes(handles.axes1)
rectangle('Position',box,'EdgeColor','r');%原图圈起来
axes(handles.axes2)
imshow(faceI)
else
set(handles.reporttext,'string','没有检测到人脸,无法识别！');
end
handles.faceI = faceI;
% Update handles structure
guidata(hObject, 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)
% --- Executes on button press in pushbutton4.
function pushbutton4_Callback(hObject, eventdata, handles)
set(handles.edit4,'string','拓展：应用场景可换为教室考勤，宿舍考勤，动车站等公共场所')
% 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)
function edit5_Callback(hObject, eventdata, handles)
% hObject handle to edit5 (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 edit5 as text
% str2double(get(hObject,'String')) returns contents of edit5 as a double
% --- Executes during object creation, after setting all properties.
function edit5_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit5 (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 edit6_Callback(hObject, eventdata, handles)
% hObject handle to edit6 (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 edit6 as text
% str2double(get(hObject,'String')) returns contents of edit6 as a double
% --- Executes during object creation, after setting all properties.
function edit6_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit6 (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 edit7_Callback(hObject, eventdata, handles)
% hObject handle to edit7 (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 edit7 as text
% str2double(get(hObject,'String')) returns contents of edit7 as a double
% --- Executes during object creation, after setting all properties.
function edit7_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit7 (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 edit8_Callback(hObject, eventdata, handles)
% hObject handle to edit8 (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 edit8 as text
% str2double(get(hObject,'String')) returns contents of edit8 as a double
% --- Executes during object creation, after setting all properties.
function edit8_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit8 (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
% --- Executes on button press in pushbutton9.
function pushbutton9_Callback(hObject, eventdata, handles)
I = imread('5.bmp');%读取图片
%存入到handles内，以便被别的函数调用
handles.I = I;
handles.faceI = I;
% Update handles structure
load trainresult.mat
if(isfield(handles,'faceI') && ~isempty(handles.faceI)) %如果检测出人脸
faceI = handles.faceI;
[M,N,color] = size(faceI);%获取图片的大小，以及色彩类型
if color == 3%如果是彩色图片
I = rgb2gray(faceI);%转为灰度图片
else
I = faceI;
end
% I1= imadjust(I1,stretchlim(I1));%灰度变换，图像增强
if (isequal([M,N],goalsize) == 0)%如果不是64*64的
I = imresize(I,goalsize);%转为固定的64*64的
end
samplesnum = size(PCAfeatures,1);%训练样本个数
I1 = I(:);%图像转为1列矩阵
I1 = double(I1');
Z=(I1-mA);%减去均值
feature1 = Z*V;%降维得到PCA特征
dd = zeros(1,samplesnum);
for j = 1:samplesnum%遍历训练样本
feature2 = PCAfeatures(j,:);%取出一个特征
d = mydist(feature1,feature2);%计算特征之间的距离
dd(j) = d;%距离存起来 用于排序
end
[value,minindex] = min(dd);%最小值，以及所在位置
classlabel = trainlabel(minindex);%测出的类别序号
%str = sprintf('识别完成,识别此照片为第%d人。',classlabel);
set(handles.edit5,'string',classlabel);
drawnow
else
set(handles.reporttext,'string','没有检测到人脸,无法识别！');
end
guidata(hObject, handles);
% hObject handle to pushbutton9 (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 pushbutton10.
function pushbutton10_Callback(hObject, eventdata, handles)
I = imread('6.bmp');%读取图片
%存入到handles内，以便被别的函数调用
handles.I = I;
handles.faceI = I;
% Update handles structure
load trainresult.mat
if(isfield(handles,'faceI') && ~isempty(handles.faceI)) %如果检测出人脸
faceI = handles.faceI;
[M,N,color] = size(faceI);%获取图片的大小，以及色彩类型
if color == 3%如果是彩色图片
I = rgb2gray(faceI);%转为灰度图片
else
I = faceI;
end
% I1= imadjust(I1,stretchlim(I1));%灰度变换，图像增强
if (isequal([M,N],goalsize) == 0)%如果不是64*64的
I = imresize(I,goalsize);%转为固定的64*64的
end
samplesnum = size(PCAfeatures,1);%训练样本个数
I1 = I(:);%图像转为1列矩阵
I1 = double(I1');
Z=(I1-mA);%减去均值
feature1 = Z*V;%降维得到PCA特征
dd = zeros(1,samplesnum);
for j = 1:samplesnum%遍历训练样本
feature2 = PCAfeatures(j,:);%取出一个特征
d = mydist(feature1,feature2);%计算特征之间的距离
dd(j) = d;%距离存起来 用于排序
end
[value,minindex] = min(dd);%最小值，以及所在位置
classlabel = trainlabel(minindex);%测出的类别序号
%str = sprintf('识别完成,识别此照片为第%d人。',classlabel);
set(handles.edit4,'string',classlabel);
drawnow
%axes(handles.axes1)
%imshow(faceI)
strtitle = sprintf('识别结果第%d人',classlabel);
title(strtitle)
else
set(handles.reporttext,'string','没有检测到人脸,无法识别！');
end
guidata(hObject, handles);
% hObject handle to pushbutton10 (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 pushbutton11.
function pushbutton11_Callback(hObject, eventdata, handles)
I = imread('7.bmp');%读取图片
%存入到handles内，以便被别的函数调用
handles.I = I;
handles.faceI = I;
% Update handles structure
load trainresult.mat
if(isfield(handles,'faceI') && ~isempty(handles.faceI)) %如果检测出人脸
faceI = handles.faceI;
[M,N,color] = size(faceI);%获取图片的大小，以及色彩类型
if color == 3%如果是彩色图片
I = rgb2gray(faceI);%转为灰度图片
else
I = faceI;
end
% I1= imadjust(I1,stretchlim(I1));%灰度变换，图像增强
if (isequal([M,N],goalsize) == 0)%如果不是64*64的
I = imresize(I,goalsize);%转为固定的64*64的
end
samplesnum = size(PCAfeatures,1);%训练样本个数
I1 = I(:);%图像转为1列矩阵
I1 = double(I1');
Z=(I1-mA);%减去均值
feature1 = Z*V;%降维得到PCA特征
dd = zeros(1,samplesnum);
for j = 1:samplesnum%遍历训练样本
feature2 = PCAfeatures(j,:);%取出一个特征
d = mydist(feature1,feature2);%计算特征之间的距离
dd(j) = d;%距离存起来 用于排序
end
[value,minindex] = min(dd);%最小值，以及所在位置
classlabel = trainlabel(minindex);%测出的类别序号
%str = sprintf('识别完成,识别此照片为第%d人。',classlabel);
set(handles.edit4,'string',classlabel);
drawnow
%axes(handles.axes1)
%imshow(faceI)
strtitle = sprintf('识别结果第%d人',classlabel);
title(strtitle)
else
set(handles.reporttext,'string','没有检测到人脸,无法识别！');
end
guidata(hObject, handles);
% hObject handle to pushbutton11 (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 pushbutton12.
function pushbutton12_Callback(hObject, eventdata, handles)
I = imread('8.bmp');%读取图片
%存入到handles内，以便被别的函数调用
handles.I = I;
handles.faceI = I;
% Update handles structure
load trainresult.mat
if(isfield(handles,'faceI') && ~isempty(handles.faceI)) %如果检测出人脸
faceI = handles.faceI;
[M,N,color] = size(faceI);%获取图片的大小，以及色彩类型
if color == 3%如果是彩色图片
I = rgb2gray(faceI);%转为灰度图片
else
I = faceI;
end
% I1= imadjust(I1,stretchlim(I1));%灰度变换，图像增强
if (isequal([M,N],goalsize) == 0)%如果不是64*64的
I = imresize(I,goalsize);%转为固定的64*64的
end
samplesnum = size(PCAfeatures,1);%训练样本个数
I1 = I(:);%图像转为1列矩阵
I1 = double(I1');
Z=(I1-mA);%减去均值
feature1 = Z*V;%降维得到PCA特征
dd = zeros(1,samplesnum);
for j = 1:samplesnum%遍历训练样本
feature2 = PCAfeatures(j,:);%取出一个特征
d = mydist(feature1,feature2);%计算特征之间的距离
dd(j) = d;%距离存起来 用于排序
end
[value,minindex] = min(dd);%最小值，以及所在位置
classlabel = trainlabel(minindex);%测出的类别序号
%str = sprintf('识别完成,识别此照片为第%d人。',classlabel);
set(handles.edit4,'string',classlabel);
drawnow
%axes(handles.axes1)
%imshow(faceI)
strtitle = sprintf('识别结果第%d人',classlabel);
title(strtitle)
else
set(handles.reporttext,'string','没有检测到人脸,无法识别！');
end
guidata(hObject, handles);
% hObject handle to pushbutton12 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
function edit9_Callback(hObject, eventdata, handles)
% hObject handle to edit9 (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 edit9 as text
% str2double(get(hObject,'String')) returns contents of edit9 as a double
% --- Executes during object creation, after setting all properties.
function edit9_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit9 (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 edit10_Callback(hObject, eventdata, handles)
% hObject handle to edit10 (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 edit10 as text
% str2double(get(hObject,'String')) returns contents of edit10 as a double
% --- Executes during object creation, after setting all properties.
function edit10_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit10 (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 edit11_Callback(hObject, eventdata, handles)
% hObject handle to edit11 (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 edit11 as text
% str2double(get(hObject,'String')) returns contents of edit11 as a double
% --- Executes during object creation, after setting all properties.
function edit11_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit11 (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 edit12_Callback(hObject, eventdata, handles)
% hObject handle to edit12 (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 edit12 as text
% str2double(get(hObject,'String')) returns contents of edit12 as a double
% --- Executes during object creation, after setting all properties.
function edit12_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit12 (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
% --- Executes on button press in pushbutton13.
function pushbutton13_Callback(hObject, eventdata, handles)
I = imread('9.bmp');%读取图片
%存入到handles内，以便被别的函数调用
handles.I = I;
handles.faceI = I;
% Update handles structure
load trainresult.mat
if(isfield(handles,'faceI') && ~isempty(handles.faceI)) %如果检测出人脸
faceI = handles.faceI;
[M,N,color] = size(faceI);%获取图片的大小，以及色彩类型
if color == 3%如果是彩色图片
I = rgb2gray(faceI);%转为灰度图片
else
I = faceI;
end
% I1= imadjust(I1,stretchlim(I1));%灰度变换，图像增强
if (isequal([M,N],goalsize) == 0)%如果不是64*64的
I = imresize(I,goalsize);%转为固定的64*64的
end
samplesnum = size(PCAfeatures,1);%训练样本个数
I1 = I(:);%图像转为1列矩阵
I1 = double(I1');
Z=(I1-mA);%减去均值
feature1 = Z*V;%降维得到PCA特征
dd = zeros(1,samplesnum);
for j = 1:samplesnum%遍历训练样本
feature2 = PCAfeatures(j,:);%取出一个特征
d = mydist(feature1,feature2);%计算特征之间的距离
dd(j) = d;%距离存起来 用于排序
end
[value,minindex] = min(dd);%最小值，以及所在位置
classlabel = trainlabel(minindex);%测出的类别序号
%str = sprintf('识别完成,识别此照片为第%d人。',classlabel);
set(handles.edit4,'string',classlabel);
drawnow
%axes(handles.axes1)
%imshow(faceI)
strtitle = sprintf('识别结果第%d人',classlabel);
title(strtitle)
else
set(handles.reporttext,'string','没有检测到人脸,无法识别！');
end
guidata(hObject, handles);
% hObject handle to pushbutton13 (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 pushbutton14.
function pushbutton14_Callback(hObject, eventdata, handles)
I = imread('10.bmp');%读取图片
%存入到handles内，以便被别的函数调用
handles.I = I;
handles.faceI = I;
% Update handles structure
load trainresult.mat
if(isfield(handles,'faceI') && ~isempty(handles.faceI)) %如果检测出人脸
faceI = handles.faceI;
[M,N,color] = size(faceI);%获取图片的大小，以及色彩类型
if color == 3%如果是彩色图片
I = rgb2gray(faceI);%转为灰度图片
else
I = faceI;
end
% I1= imadjust(I1,stretchlim(I1));%灰度变换，图像增强
if (isequal([M,N],goalsize) == 0)%如果不是64*64的
I = imresize(I,goalsize);%转为固定的64*64的
end
samplesnum = size(PCAfeatures,1);%训练样本个数
I1 = I(:);%图像转为1列矩阵
I1 = double(I1');
Z=(I1-mA);%减去均值
feature1 = Z*V;%降维得到PCA特征
dd = zeros(1,samplesnum);
for j = 1:samplesnum%遍历训练样本
feature2 = PCAfeatures(j,:);%取出一个特征
d = mydist(feature1,feature2);%计算特征之间的距离
dd(j) = d;%距离存起来 用于排序
end
[value,minindex] = min(dd);%最小值，以及所在位置
classlabel = trainlabel(minindex);%测出的类别序号
%str = sprintf('识别完成,识别此照片为第%d人。',classlabel);
set(handles.edit4,'string',classlabel);
drawnow
else
set(handles.reporttext,'string','没有检测到人脸,无法识别！');
end
guidata(hObject, handles);
% hObject handle to pushbutton14 (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 pushbutton15.
function pushbutton15_Callback(hObject, eventdata, handles)
I = imread('11.bmp');%读取图片
%存入到handles内，以便被别的函数调用
handles.I = I;
handles.faceI = I;
% Update handles structure
load trainresult.mat
if(isfield(handles,'faceI') && ~isempty(handles.faceI)) %如果检测出人脸
faceI = handles.faceI;
[M,N,color] = size(faceI);%获取图片的大小，以及色彩类型
if color == 3%如果是彩色图片
I = rgb2gray(faceI);%转为灰度图片
else
I = faceI;
end
% I1= imadjust(I1,stretchlim(I1));%灰度变换，图像增强
if (isequal([M,N],goalsize) == 0)%如果不是64*64的
I = imresize(I,goalsize);%转为固定的64*64的
end
samplesnum = size(PCAfeatures,1);%训练样本个数
I1 = I(:);%图像转为1列矩阵
I1 = double(I1');
Z=(I1-mA);%减去均值
feature1 = Z*V;%降维得到PCA特征
dd = zeros(1,samplesnum);
for j = 1:samplesnum%遍历训练样本
feature2 = PCAfeatures(j,:);%取出一个特征
d = mydist(feature1,feature2);%计算特征之间的距离
dd(j) = d;%距离存起来 用于排序
end
[value,minindex] = min(dd);%最小值，以及所在位置
classlabel = trainlabel(minindex);%测出的类别序号
%str = sprintf('识别完成,识别此照片为第%d人。',classlabel);
set(handles.edit4,'string',classlabel);
drawnow
%axes(handles.axes1)
%imshow(faceI)
strtitle = sprintf('识别结果第%d人',classlabel);
title(strtitle)
else
set(handles.reporttext,'string','没有检测到人脸,无法识别！');
end
guidata(hObject, handles);
% hObject handle to pushbutton15 (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 pushbutton16.
function pushbutton16_Callback(hObject, eventdata, handles)
I = imread('12.bmp');%读取图片
%存入到handles内，以便被别的函数调用
handles.I = I;
handles.faceI = I;
% Update handles structure
load trainresult.mat
if(isfield(handles,'faceI') && ~isempty(handles.faceI)) %如果检测出人脸
faceI = handles.faceI;
[M,N,color] = size(faceI);%获取图片的大小，以及色彩类型
if color == 3%如果是彩色图片
I = rgb2gray(faceI);%转为灰度图片
else
I = faceI;
end
% I1= imadjust(I1,stretchlim(I1));%灰度变换，图像增强
if (isequal([M,N],goalsize) == 0)%如果不是64*64的
I = imresize(I,goalsize);%转为固定的64*64的
end
samplesnum = size(PCAfeatures,1);%训练样本个数
I1 = I(:);%图像转为1列矩阵
I1 = double(I1');
Z=(I1-mA);%减去均值
feature1 = Z*V;%降维得到PCA特征
dd = zeros(1,samplesnum);
for j = 1:samplesnum%遍历训练样本
feature2 = PCAfeatures(j,:);%取出一个特征
d = mydist(feature1,feature2);%计算特征之间的距离
dd(j) = d;%距离存起来 用于排序
end
[value,minindex] = min(dd);%最小值，以及所在位置
classlabel = trainlabel(minindex);%测出的类别序号
%str = sprintf('识别完成,识别此照片为第%d人。',classlabel);
set(handles.edit4,'string',classlabel);
drawnow
else
set(handles.reporttext,'string','没有检测到人脸,无法识别！');
end
guidata(hObject, handles);
% hObject handle to pushbutton16 (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 pushbutton17.
function pushbutton17_Callback(hObject, eventdata, handles)
[filename, pathname] = uigetfile( ...
{'*.jpg;*.png;*.jpeg', 'Image Files (*.bmp;*.jpg;*.png;*.jpeg)'; ...
'*.*', 'All Files (*.*)'}, ...
'Pick an image');
if isequal(filename,0) || isequal(pathname,0),
return;
end
fpath=[pathname filename]; %将文件名和目录名组合成一个完整的路径
img=imread(fpath);
axes(handles.axes1)
imshow(img)
title('合影图片')
msgbox('感兴趣，可加Q讨论，1183814288')
% hObject handle to pushbutton17 (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 pushbutton18.
function pushbutton18_Callback(hObject, eventdata, handles)
msgbox('数数部分思路：定位器实现')
set(handles.reporttext,'string','课题定制，Q：1183814288')
% hObject handle to pushbutton18 (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 pushbutton19.
function pushbutton19_Callback(hObject, eventdata, handles)
ax2=(handles.axes2);cla(ax2,'reset')
ax3=(handles.axes3);cla(ax3,'reset')
ax4=(handles.axes4);cla(ax4,'reset')
ax5=(handles.axes5);cla(ax5,'reset')
% hObject handle to pushbutton19 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
function edit13_Callback(hObject, eventdata, handles)
% hObject handle to edit13 (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 edit13 as text
% str2double(get(hObject,'String')) returns contents of edit13 as a double
% --- Executes during object creation, after setting all properties.
function edit13_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit13 (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 reporttext_Callback(hObject, eventdata, handles)
% hObject handle to reporttext (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 reporttext as text
% str2double(get(hObject,'String')) returns contents of reporttext as a double
% --- Executes during object creation, after setting all properties.
function reporttext_CreateFcn(hObject, eventdata, handles)
% hObject handle to reporttext (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 edit15_Callback(hObject, eventdata, handles)
% hObject handle to edit15 (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 edit15 as text
% str2double(get(hObject,'String')) returns contents of edit15 as a double
% --- Executes during object creation, after setting all properties.
function edit15_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit15 (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 edit16_Callback(hObject, eventdata, handles)
% hObject handle to edit16 (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 edit16 as text
% str2double(get(hObject,'String')) returns contents of edit16 as a double
% --- Executes during object creation, after setting all properties.
function edit16_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit16 (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 edit17_Callback(hObject, eventdata, handles)
% hObject handle to edit17 (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 edit17 as text
% str2double(get(hObject,'String')) returns contents of edit17 as a double
% --- Executes during object creation, after setting all properties.
function edit17_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit17 (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 edit18_Callback(hObject, eventdata, handles)
% hObject handle to edit18 (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 edit18 as text
% str2double(get(hObject,'String')) returns contents of edit18 as a double
% --- Executes during object creation, after setting all properties.
function edit18_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit18 (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
% --- Executes on button press in pushbutton20.
function pushbutton20_Callback(hObject, eventdata, handles)
I = imread('10.bmp');%读取图片
%存入到handles内，以便被别的函数调用
handles.I = I;
handles.faceI = I;
% Update handles structure
load trainresult.mat
if(isfield(handles,'faceI') && ~isempty(handles.faceI)) %如果检测出人脸
faceI = handles.faceI;
[M,N,color] = size(faceI);%获取图片的大小，以及色彩类型
if color == 3%如果是彩色图片
I = rgb2gray(faceI);%转为灰度图片
else
I = faceI;
end
% I1= imadjust(I1,stretchlim(I1));%灰度变换，图像增强
if (isequal([M,N],goalsize) == 0)%如果不是64*64的
I = imresize(I,goalsize);%转为固定的64*64的
end
samplesnum = size(PCAfeatures,1);%训练样本个数
I1 = I(:);%图像转为1列矩阵
I1 = double(I1');
Z=(I1-mA);%减去均值
feature1 = Z*V;%降维得到PCA特征
dd = zeros(1,samplesnum);
for j = 1:samplesnum%遍历训练样本
feature2 = PCAfeatures(j,:);%取出一个特征
d = mydist(feature1,feature2);%计算特征之间的距离
dd(j) = d;%距离存起来 用于排序
end
[value,minindex] = min(dd);%最小值，以及所在位置
classlabel = trainlabel(minindex);%测出的类别序号
%str = sprintf('识别完成,识别此照片为第%d人。',classlabel);
set(handles.edit4,'string',classlabel);
drawnow
else
set(handles.reporttext,'string','没有检测到人脸,无法识别！');
end
guidata(hObject, handles);
% hObject handle to pushbutton14 (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 pushbutton15.
function pushbutton15_Callback(hObject, eventdata, handles)
I = imread('13.bmp');%读取图片
%存入到handles内，以便被别的函数调用
handles.I = I;
handles.faceI = I;
% Update handles structure
load trainresult.mat
if(isfield(handles,'faceI') && ~isempty(handles.faceI)) %如果检测出人脸
faceI = handles.faceI;
[M,N,color] = size(faceI);%获取图片的大小，以及色彩类型
if color == 3%如果是彩色图片
I = rgb2gray(faceI);%转为灰度图片
else
I = faceI;
end
% I1= imadjust(I1,stretchlim(I1));%灰度变换，图像增强
if (isequal([M,N],goalsize) == 0)%如果不是64*64的
I = imresize(I,goalsize);%转为固定的64*64的
end
samplesnum = size(PCAfeatures,1);%训练样本个数
I1 = I(:);%图像转为1列矩阵
I1 = double(I1');
Z=(I1-mA);%减去均值
feature1 = Z*V;%降维得到PCA特征
dd = zeros(1,samplesnum);
for j = 1:samplesnum%遍历训练样本
feature2 = PCAfeatures(j,:);%取出一个特征
d = mydist(feature1,feature2);%计算特征之间的距离
dd(j) = d;%距离存起来 用于排序
end
[value,minindex] = min(dd);%最小值，以及所在位置
classlabel = trainlabel(minindex);%测出的类别序号
%str = sprintf('识别完成,识别此照片为第%d人。',classlabel);
set(handles.edit4,'string',classlabel);
drawnow
%axes(handles.axes1)
%imshow(faceI)
strtitle = sprintf('识别结果第%d人',classlabel);
title(strtitle)
guidata(hObject, handles);
% hObject handle to pushbutton20 (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 pushbutton21.
function pushbutton21_Callback(hObject, eventdata, handles)
I = imread('10.bmp');%读取图片
%存入到handles内，以便被别的函数调用
handles.I = I;
handles.faceI = I;
% Update handles structure
load trainresult.mat
if(isfield(handles,'faceI') && ~isempty(handles.faceI)) %如果检测出人脸
faceI = handles.faceI;
[M,N,color] = size(faceI);%获取图片的大小，以及色彩类型
if color == 3%如果是彩色图片
I = rgb2gray(faceI);%转为灰度图片
else
I = faceI;
end
% I1= imadjust(I1,stretchlim(I1));%灰度变换，图像增强
if (isequal([M,N],goalsize) == 0)%如果不是64*64的
I = imresize(I,goalsize);%转为固定的64*64的
end
samplesnum = size(PCAfeatures,1);%训练样本个数
I1 = I(:);%图像转为1列矩阵
I1 = double(I1');
Z=(I1-mA);%减去均值
feature1 = Z*V;%降维得到PCA特征
dd = zeros(1,samplesnum);
for j = 1:samplesnum%遍历训练样本
feature2 = PCAfeatures(j,:);%取出一个特征
d = mydist(feature1,feature2);%计算特征之间的距离
dd(j) = d;%距离存起来 用于排序
end
[value,minindex] = min(dd);%最小值，以及所在位置
classlabel = trainlabel(minindex);%测出的类别序号
%str = sprintf('识别完成,识别此照片为第%d人。',classlabel);
set(handles.edit4,'string',classlabel);
drawnow
else
set(handles.reporttext,'string','没有检测到人脸,无法识别！');
end
guidata(hObject, handles);
% hObject handle to pushbutton14 (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 pushbutton15.
function pushbutton15_Callback(hObject, eventdata, handles)
I = imread('14.bmp');%读取图片
%存入到handles内，以便被别的函数调用
handles.I = I;
handles.faceI = I;
% Update handles structure
load trainresult.mat
if(isfield(handles,'faceI') && ~isempty(handles.faceI)) %如果检测出人脸
faceI = handles.faceI;
[M,N,color] = size(faceI);%获取图片的大小，以及色彩类型
if color == 3%如果是彩色图片
I = rgb2gray(faceI);%转为灰度图片
else
I = faceI;
end
% I1= imadjust(I1,stretchlim(I1));%灰度变换，图像增强
if (isequal([M,N],goalsize) == 0)%如果不是64*64的
I = imresize(I,goalsize);%转为固定的64*64的
end
samplesnum = size(PCAfeatures,1);%训练样本个数
I1 = I(:);%图像转为1列矩阵
I1 = double(I1');
Z=(I1-mA);%减去均值
feature1 = Z*V;%降维得到PCA特征
dd = zeros(1,samplesnum);
for j = 1:samplesnum%遍历训练样本
feature2 = PCAfeatures(j,:);%取出一个特征
d = mydist(feature1,feature2);%计算特征之间的距离
dd(j) = d;%距离存起来 用于排序
end
[value,minindex] = min(dd);%最小值，以及所在位置
classlabel = trainlabel(minindex);%测出的类别序号
%str = sprintf('识别完成,识别此照片为第%d人。',classlabel);
set(handles.edit4,'string',classlabel);
drawnow
%axes(handles.axes1)
%imshow(faceI)
strtitle = sprintf('识别结果第%d人',classlabel);
title(strtitle)
else
set(handles.reporttext,'string','没有检测到人脸,无法识别！');
end
guidata(hObject, handles);
% hObject handle to pushbutton21 (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 pushbutton22.
function pushbutton22_Callback(hObject, eventdata, handles)
I = imread('10.bmp');%读取图片
%存入到handles内，以便被别的函数调用
handles.I = I;
handles.faceI = I;
% Update handles structure
load trainresult.mat
if(isfield(handles,'faceI') && ~isempty(handles.faceI)) %如果检测出人脸
faceI = handles.faceI;
[M,N,color] = size(faceI);%获取图片的大小，以及色彩类型
if color == 3%如果是彩色图片
I = rgb2gray(faceI);%转为灰度图片
else
I = faceI;
end
% I1= imadjust(I1,stretchlim(I1));%灰度变换，图像增强
if (isequal([M,N],goalsize) == 0)%如果不是64*64的
I = imresize(I,goalsize);%转为固定的64*64的
end
samplesnum = size(PCAfeatures,1);%训练样本个数
I1 = I(:);%图像转为1列矩阵
I1 = double(I1');
Z=(I1-mA);%减去均值
feature1 = Z*V;%降维得到PCA特征
dd = zeros(1,samplesnum);
for j = 1:samplesnum%遍历训练样本
feature2 = PCAfeatures(j,:);%取出一个特征
d = mydist(feature1,feature2);%计算特征之间的距离
dd(j) = d;%距离存起来 用于排序
end
[value,minindex] = min(dd);%最小值，以及所在位置
classlabel = trainlabel(minindex);%测出的类别序号
%str = sprintf('识别完成,识别此照片为第%d人。',classlabel);
set(handles.edit4,'string',classlabel);
drawnow
else
set(handles.reporttext,'string','没有检测到人脸,无法识别！');
end
guidata(hObject, handles);
% hObject handle to pushbutton14 (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 pushbutton15.
function pushbutton15_Callback(hObject, eventdata, handles)
I = imread('15.bmp');%读取图片
%存入到handles内，以便被别的函数调用
handles.I = I;
handles.faceI = I;
% Update handles structure
load trainresult.mat
if(isfield(handles,'faceI') && ~isempty(handles.faceI)) %如果检测出人脸
faceI = handles.faceI;
[M,N,color] = size(faceI);%获取图片的大小，以及色彩类型
if color == 3%如果是彩色图片
I = rgb2gray(faceI);%转为灰度图片
else
I = faceI;
end
% I1= imadjust(I1,stretchlim(I1));%灰度变换，图像增强
if (isequal([M,N],goalsize) == 0)%如果不是64*64的
I = imresize(I,goalsize);%转为固定的64*64的
end
samplesnum = size(PCAfeatures,1);%训练样本个数
I1 = I(:);%图像转为1列矩阵
I1 = double(I1');
Z=(I1-mA);%减去均值
feature1 = Z*V;%降维得到PCA特征
dd = zeros(1,samplesnum);
for j = 1:samplesnum%遍历训练样本
feature2 = PCAfeatures(j,:);%取出一个特征
d = mydist(feature1,feature2);%计算特征之间的距离
dd(j) = d;%距离存起来 用于排序
end
[value,minindex] = min(dd);%最小值，以及所在位置
classlabel = trainlabel(minindex);%测出的类别序号
%str = sprintf('识别完成,识别此照片为第%d人。',classlabel);
set(handles.edit4,'string',classlabel);
drawnow
%axes(handles.axes1)
%imshow(faceI)
strtitle = sprintf('识别结果第%d人',classlabel);
title(strtitle)
else
set(handles.reporttext,'string','没有检测到人脸,无法识别！');
end
guidata(hObject, handles);
% hObject handle to pushbutton22 (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 pushbutton23.
function pushbutton23_Callback(hObject, eventdata, handles)
I = imread('10.bmp');%读取图片
%存入到handles内，以便被别的函数调用
handles.I = I;
handles.faceI = I;
% Update handles structure
load trainresult.mat
if(isfield(handles,'faceI') && ~isempty(handles.faceI)) %如果检测出人脸
faceI = handles.faceI;
[M,N,color] = size(faceI);%获取图片的大小，以及色彩类型
if color == 3%如果是彩色图片
I = rgb2gray(faceI);%转为灰度图片
else
I = faceI;
end
% I1= imadjust(I1,stretchlim(I1));%灰度变换，图像增强
if (isequal([M,N],goalsize) == 0)%如果不是64*64的
I = imresize(I,goalsize);%转为固定的64*64的
end
samplesnum = size(PCAfeatures,1);%训练样本个数
I1 = I(:);%图像转为1列矩阵
I1 = double(I1');
Z=(I1-mA);%减去均值
feature1 = Z*V;%降维得到PCA特征
dd = zeros(1,samplesnum);
for j = 1:samplesnum%遍历训练样本
feature2 = PCAfeatures(j,:);%取出一个特征
d = mydist(feature1,feature2);%计算特征之间的距离
dd(j) = d;%距离存起来 用于排序
end
[value,minindex] = min(dd);%最小值，以及所在位置
classlabel = trainlabel(minindex);%测出的类别序号
%str = sprintf('识别完成,识别此照片为第%d人。',classlabel);
set(handles.edit4,'string',classlabel);
drawnow
else
set(handles.reporttext,'string','没有检测到人脸,无法识别！');
end
guidata(hObject, handles);
% hObject handle to pushbutton14 (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 pushbutton15.
function pushbutton15_Callback(hObject, eventdata, handles)
I = imread('16.bmp');%读取图片
%存入到handles内，以便被别的函数调用
handles.I = I;
handles.faceI = I;
% Update handles structure
load trainresult.mat
if(isfield(handles,'faceI') && ~isempty(handles.faceI)) %如果检测出人脸
faceI = handles.faceI;
[M,N,color] = size(faceI);%获取图片的大小，以及色彩类型
if color == 3%如果是彩色图片
I = rgb2gray(faceI);%转为灰度图片
else
I = faceI;
end
% I1= imadjust(I1,stretchlim(I1));%灰度变换，图像增强
if (isequal([M,N],goalsize) == 0)%如果不是64*64的
I = imresize(I,goalsize);%转为固定的64*64的
end
samplesnum = size(PCAfeatures,1);%训练样本个数
I1 = I(:);%图像转为1列矩阵
I1 = double(I1');
Z=(I1-mA);%减去均值
feature1 = Z*V;%降维得到PCA特征
dd = zeros(1,samplesnum);
for j = 1:samplesnum%遍历训练样本
feature2 = PCAfeatures(j,:);%取出一个特征
d = mydist(feature1,feature2);%计算特征之间的距离
dd(j) = d;%距离存起来 用于排序
end
[value,minindex] = min(dd);%最小值，以及所在位置
classlabel = trainlabel(minindex);%测出的类别序号
%str = sprintf('识别完成,识别此照片为第%d人。',classlabel);
set(handles.edit4,'string',classlabel);
drawnow
else
set(handles.reporttext,'string','没有检测到人脸,无法识别！');
end
guidata(hObject, handles);
% hObject handle to pushbutton23 (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 pushbutton24.
function pushbutton24_Callback(hObject, eventdata, handles)
I = imread('10.bmp');%读取图片
%存入到handles内，以便被别的函数调用
handles.I = I;
handles.faceI = I;
% Update handles structure
load trainresult.mat
if(isfield(handles,'faceI') && ~isempty(handles.faceI)) %如果检测出人脸
faceI = handles.faceI;
[M,N,color] = size(faceI);%获取图片的大小，以及色彩类型
if color == 3%如果是彩色图片
I = rgb2gray(faceI);%转为灰度图片
else
I = faceI;
end
% I1= imadjust(I1,stretchlim(I1));%灰度变换，图像增强
if (isequal([M,N],goalsize) == 0)%如果不是64*64的
I = imresize(I,goalsize);%转为固定的64*64的
end
samplesnum = size(PCAfeatures,1);%训练样本个数
I1 = I(:);%图像转为1列矩阵
I1 = double(I1');
Z=(I1-mA);%减去均值
feature1 = Z*V;%降维得到PCA特征
dd = zeros(1,samplesnum);
for j = 1:samplesnum%遍历训练样本
feature2 = PCAfeatures(j,:);%取出一个特征
d = mydist(feature1,feature2);%计算特征之间的距离
dd(j) = d;%距离存起来 用于排序
end
[value,minindex] = min(dd);%最小值，以及所在位置
classlabel = trainlabel(minindex);%测出的类别序号
%str = sprintf('识别完成,识别此照片为第%d人。',classlabel);
set(handles.edit4,'string',classlabel);
drawnow
else
set(handles.reporttext,'string','没有检测到人脸,无法识别！');
end
guidata(hObject, handles);
% hObject handle to pushbutton14 (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 pushbutton15.
function pushbutton15_Callback(hObject, eventdata, handles)
I = imread('11.bmp');%读取图片
%存入到handles内，以便被别的函数调用
handles.I = I;
handles.faceI = I;
% Update handles structure
load trainresult.mat
if(isfield(handles,'faceI') && ~isempty(handles.faceI)) %如果检测出人脸
faceI = handles.faceI;
[M,N,color] = size(faceI);%获取图片的大小，以及色彩类型
if color == 3%如果是彩色图片
I = rgb2gray(faceI);%转为灰度图片
else
I = faceI;
end
% I1= imadjust(I1,stretchlim(I1));%灰度变换，图像增强
if (isequal([M,N],goalsize) == 0)%如果不是64*64的
I = imresize(I,goalsize);%转为固定的64*64的
end
samplesnum = size(PCAfeatures,1);%训练样本个数
I1 = I(:);%图像转为1列矩阵
I1 = double(I1');
Z=(I1-mA);%减去均值
feature1 = Z*V;%降维得到PCA特征
dd = zeros(1,samplesnum);
for j = 1:samplesnum%遍历训练样本
feature2 = PCAfeatures(j,:);%取出一个特征
d = mydist(feature1,feature2);%计算特征之间的距离
dd(j) = d;%距离存起来 用于排序
end
[value,minindex] = min(dd);%最小值，以及所在位置
else
set(handles.reporttext,'string','没有检测到人脸,无法识别！');
end
guidata(hObject, handles);
% hObject handle to pushbutton24 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
二、运行结果
三、备注
版本：2014a
