人脸检测.zip_人脸_人脸定位_人脸检测_检测_肤色

function varargout = GUI(varargin) % GUI MATLAB code for GUI.fig % GUI, by itself, creates a new GUI or raises the existing % singleton*. % % H = GUI returns the handle to a new GUI or the handle to % the existing singleton*. % % GUI('CALLBACK',hObject,eventData,handles,...) calls the local % function named CALLBACK in GUI.M with the given input arguments. % % GUI('Property','Value',...) creates a new GUI or raises the % existing singleton*. Starting from the left, property value pairs are % applied to the GUI before GUI_OpeningFcn gets called. An % unrecognized property name or invalid value makes property application % stop. All inputs are passed to GUI_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 GUI % Last Modified by GUIDE v2.5 16-Apr-2019 13:58:33 % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @GUI_OpeningFcn, ... 'gui_OutputFcn', @GUI_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 GUI is made visible. function GUI_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 GUI (see VARARGIN) % Choose default command line output for GUI handles.output = hObject; % Update handles structure guidata(hObject, handles); % UIWAIT makes GUI wait for user response (see UIRESUME) % uiwait(handles.figure1); % --- Outputs from this function are returned to the command line. function varargout = GUI_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) global I; [filename,pathname]=uigetfile({'*.JPG'},'选择要检测的图片'); str=[pathname,filename]; I = imread(str);%从多媒体文件中读取数据。 axes(handles.axes1);imshow(I);title('原图') axes(handles.axes2);cla reset; % --- 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 I; gray = rgb2gray(I); % 将图像转化为YCbCr颜色空间 YCbCr = rgb2ycbcr(I); % 获得图像宽度和高度 heigth = size(gray,1); width = size(gray,2); % 根据肤色模型将图像二值化 for i = 1:heigth for j = 1:width Y = YCbCr(i,j,1); Cb = YCbCr(i,j,2); Cr = YCbCr(i,j,3); if(Y < 80) gray(i,j) = 0; else if(skin(Y,Cb,Cr) == 1) gray(i,j) = 255; else gray(i,j) = 0; end end end end % 二值图像形态学处理 SE=strel('arbitrary',eye(5)); %gray = bwmorph(gray,'erode'); % imopen先腐蚀再膨胀 gray = imopen(gray,SE); % imclose先膨胀再腐蚀 %gray = imclose(gray,SE); axes(handles.axes2); imshow(gray);title('分割');pause(1); % 取出图片中所有包含白色区域的最小矩形 [L,num] = bwlabel(gray,8); STATS = regionprops(L,'BoundingBox'); % 存放经过筛选以后得到的所有矩形块 n = 1; result = zeros(n,4); imshow(I); hold on; for i = 1:num box = STATS(i).BoundingBox; x = box(1); %矩形坐标x y = box(2); %矩形坐标y w = box(3); %矩形宽度w h = box(4); %矩形高度h % 宽度和高度的比例 ratio = h/w; ux = uint8(x); uy = uint8(y); if ux > 1 ux = ux - 1; end if uy > 1 uy = uy - 1; end % 可能是人脸区域的矩形应满足以下条件： % 1、高度和宽度必须都大于20，且矩形面积大于400 % 2、高度和宽度比率应该在范围（0.6,2）内 % 3、函数findeye返回值为1 if w < 20 || h < 20 || w*h < 800 continue elseif ratio < 2 && ratio > 0.6 && findeye(gray,ux,uy,w,h) == 1 % 记录可能为人脸的矩形区域 result(n,:) = [ux uy w h]; n = n+1; end end % 对可能是人脸的区域进行标记 if size(result,1) == 1 && result(1,1) > 0 rectangle('Position',[result(1,1),result(1,2),result(1,3),result(1,4)],'EdgeColor','r'); else % 如果满足条件的矩形区域大于1则再根据其他信息进行筛选 for m = 1:size(result,1) m1 = result(m,1); m2 = result(m,2); m3 = result(m,3); m4 = result(m,4); % 标记最终的人脸区域 if m1 + m3 < width && m2 + m4 < heigth rectangle('Position',[m1,m2,m3,m4],'EdgeColor','r'); end end end title('人脸定位'); % --- Executes on button press in pushbutton3. function pushbutton3_Callback(hObject, eventdata, 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) global I; path = 'people\'; fileExt = '*.jpg'; files = dir(fullfile(path,fileExt)); len = size(files,1); S = zeros(len,1,'double'); % 存储查询图像与库中图像的相似度---阈值是0-1的情况下 for i=1:len Hu_f1 = zeros( 1,7) ; fileName = strcat(path,files(i,1).name); f=imread(fileName); File_store{i} = f; count=imghist1(rgb2gray(f)); res(:,i)=count(:,1)'; end count1=imghist1(rgb2gray(I)); H0=count1(:,1)'; for i=1:len H1=res(:,i)'; tmp=sum(abs(H0-H1)/sum(H0)); S(i)=tmp;%% end [y, idx] = sort(S, 'ascend'); % 查询前10个最相似的图像序号 if idx(1)==1 msgbox('识别是张三'); end if idx(1)==2 msgbox('识别是阿英'); end if idx(1)==3 msgbox('识别是李四'); end if idx(1)==4 msgbox('识别是王菲'); end if idx(1)==5 msgbox('识别是老于'); end if idx(1)==6 msgbox('识别是宝宝'); end if idx(1)==7 msgbox('识别是杰克'); end if idx(1)==8 msgbox('识别是沃特'); end if idx(1)==9 msgbox('识别是小张'); end if idx(1)==10 msgbox('识别是马云'); end %