【人脸识别】基于matlab GUI肤色人脸识别定位【含Matlab源码 674期】

一、简介

人脸检测是人脸识别、人机交互、智能视觉监控等:工作的前提。近年来,在模式识别与计算机视觉领域,人脸检测已经成为一个受到普遍重视、研究十分活跃的方向。本文针对复杂背景下的彩色正面人脸图像，将肤色分割、模板匹配与候选人脸图像块筛选结合起来，构建了人脸检测实验系统，并用自制的人脸图像数据库在该系统下进行了一系列的实验统计。本文首先介绍了人脸检测技术研究的背景和现状，阐明人脸检测技术发展的重要意义，对目前常用的一一些检测算法进行了总结,然后着重阐述了基于肤色分割和模板匹配验证的人脸检测算法。肤色是人脸重要特征，在通过肤色采样统计和聚类分析后，确立一种在YCbCr空间下的基于高斯模型的肤色分割方法。在YCbCr色彩空间中建立肤色分布的高斯模型,得到肤色概率似然图像,在最佳动态阈值选取算法下完成肤色区域的分割。采用数学形态学和一些先验知识对所得到的肤色区域进行人脸特征筛选,进–步剔除非人脸肤色区域，减少候选人脸数量,简化后续检测过程的处理。本文使用平均模板匹配方法对候选人脸进行确认，并针对图像中的人脸通常有一定角度旋转和尺寸大小不确定的问题，通过计算候选人脸图像块的偏转角度和面积，并以此调整模板,优化模板配准，提高模板匹配的准确性，同时避免使用多尺度模板进行多次匹配运算，提高算法效率。提出利用候选人脸图像区域和模板质心作为配准的原点,抑制人脸图像噪声的干扰。最后构建了基于肤色分割和模板验证的人脸检测试验系统，并对该系统采用自制人脸图像数据库进行测试。实验结果表明，系统算法是有效的，具有较高的检测性能和低的误判率。

二、部分源代码

function varargout = untitled(varargin)
% UNTITLED MATLAB code for untitled.fig
%      UNTITLED, by itself, creates a new UNTITLED or raises the existing
%      singleton*.
%
%      H = UNTITLED returns the handle to a new UNTITLED or the handle to
%      the existing singleton*.
%
%      UNTITLED('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in UNTITLED.M with the given input arguments.
%
%      UNTITLED('Property','Value',...) creates a new UNTITLED or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before untitled_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to untitled_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 untitled% Last Modified by GUIDE v2.5 19-May-2020 15:25:06% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...'gui_Singleton',  gui_Singleton, ...'gui_OpeningFcn', @untitled_OutputFcn, ...'gui_OutputFcn',  @untitled_OutputFcn, ...'gui_LayoutFcn',  [] , ...'gui_Callback',   []);
if nargin && ischar(varargin{1})gui_State.gui_Callback = str2func(varargin{1});
endif nargout[varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
elsegui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT% --- Executes just before untitled is made visible.
function untitled_OutputFcn(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 untitled (see VARARGIN)% Choose default command line output for untitled
handles.output = hObject;% Update handles structure
guidata(hObject, handles);% UIWAIT makes untitled wait for user response (see UIRESUME)
% uiwait(handles.figure1);% --- Outputs from this function are returned to the command line.
%-------------------------------------- pushbutton1_Callback(回调函数)
% --- Executes on button press in pushbutton1.
function pushbutton1_Callback(hObject, eventdata, handles)
global im imycbcr skin1 skin2 lpf %----------------宣布为全域变量
% 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)
if get (gcbo, 'Value' ) ==1;im=imread('10.jpg' ) ; %------------------------------读入彩色图像axes(handles.axes1)set(handles.axes1, 'XMinorTick' , 'on' ) %-------------嵌入Axes(1) 回调函数imshow(im) ; %------------------------------显示彩色图像
elseimformats
end
% Hint: get(hObject, ' Value' ) returns push state of togglebutton1
%-------------------------------------- pushbutton2_Callback(回调函数)
% --- Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, 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)
global im imycbcr skin1 skin2 lpf %------cr = filter2(lpf, cr) ;cr = reshape(cr, 1, prod(size(cr) ) ) ;bmean = mean(cb) ; %--------------------------------求平均值rmean = mean(cr) ;brcov = cov(cb, cr) ;skin1 = zeros(dim(1) , dim(2) ) ;for i = 1: dim(1)for j = 1: dim(2)cb = double(imycbcr(i, j, 2) ) ;cr = double(imycbcr(i, j, 3) ) ;x =[(cb-bmean);(cr-rmean)] ;skin1(i,j) = exp(-0.5*x'*inv(brcov)*x) ; %---------------------------------计算任意像素为皮肤的概率skin1 = skin1./max(max(skin1) ) ;axes(handles. axes3)set(handles. axes3, 'XMinorTick' , 'on' ) %-------------嵌入Axes(3) 回调函数imshow(skin1) ; %------------------------------显示皮肤概率图像
elseimformats
end
% Hint: get(hObject, ' Value' ) returns push state of pushbutton3
%-------------------------------------- pushbutton4_Callback(回调函数)
% --- 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)
global im imycbcr skin1 skin2 lpf %----------------: 0.05skin2 = zeros(size(skin1,1),size(skin1,2)) ;skin2(find(skin1>threshold)) = 1;change = sum(sum(skin2 - previousSkin2) ) ;changelist = [changelist change] ;previousSkin2 = skin2;end%----------------------------------找出最佳门限值[C, I] = min(changelist) ;optimalThreshold = (7-I) *0.1;skin2 = ones(size(skin1,1),size(skin1,2)) ;skin2(find(skin1>optimalThreshold))= 0;skin2 = filter2(lpf, skin2) ; %------------------------中值滤波axes(handles.axes5)set(handles. axes5, 'XMinorTick','on' ) %-------------嵌入Axes(4) 回调函数imshow(skin2); %------------------------------显示皮肤二值化图像
elseimformats
end
% Hint: get(hObject, ' Value' ) returns push state of pushbutton4
%-------------------------------------- pushbutton5_Callback(回调函数)
% --- 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)
global im imycbcr skin1 skin2 lpf %----------------宣布为全域变量
if get (gcbo, 'Value' ) ==1;sumarea = bwarea(skin2) ; %-----------计算对象的总面积， 为利用面积进行判别做准备[L,numobj] =bwlabel(skin2, 8) ;avearea = sumarea/numobj; %-----------计算出对象的平均面积A = zeros(4, numobj) ;%179n = 1;% ------------------------获得一副只包含该区域的图像， 让图像其他区域为黑色bwsegment = bwselect(skin2, y, x, 8) ;% --------------------- 计算出该区域内分割块的数目[L, numobjs] = bwlabel(bwsegment, 4) ;% ---------------------------------得到区域孔的数目numfeatures = bweuler(bwsegment, 4) ;numholes = 1 - numfeatures;% --------------------------------扫描得出区域坐标top = -1;buttom =-1;left = -1;right = -1;dim=size(bwsegment);for i=1:dim(1)for j=1:dim(2)if(bwsegment(i,j) ~= 0)top=i;break;end;end;if (top ~= -1) break; end;end;

三、运行结果

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.