基于GUI的设计 眼睛开度 眼睛定位 疲劳监测系统

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 10-Jul-2022 14:35:54 % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @untitled_OpeningFcn, ... 'gui_OutputFcn', @untitled_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 untitled is made visible. function untitled_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 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. function varargout = untitled_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 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) fileName = '44.MP4'; %image_path= obj = VideoReader(fileName); numFrames = obj.NumberOfFrames;% 读取视频的帧数CurrentTime for i = 1 : numFrames axes(handles.axes1) frame = read(obj,i);% 读取每一帧 imshow(frame);%显示每一帧 namestyle=sprintf('%06d',i); imwrite(frame,strcat('1/',namestyle,'.png'),'png');% 保存每一帧 %imwrite(frame,strcat(num2str(i),'.png'),'png');% 保存每一帧 end % --- 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) aj=[] %img=imread('sy.jpg'); n=1;%input('请输入开始检测的帧'); m=132;%input('请输入结束检测的帧'); for ix=n:7 img=imread(['1\00000',num2str(ix),'.png']); axes(handles.axes2) img=img;%(1:size(img,1)*0.78,1:end,:); %img=imresize(img);%(1:size(img,1)*0.38,1:end); imshow(rgb2gray(img));title('Original IMG'); hold on detector = vision.CascadeObjectDetector; release(detector); detector.ClassificationModel='RightEye'; detector.MergeThreshold=134;%适当增加合并阈值 bboxes=detector(img); LeftEye=insertObjectAnnotation(img,'rectangle',bboxes,'RightEye'); %figure(5);subplot(211);imshow(LeftEye);title('LeftEye'); release(detector); if ix==1 ss1=bboxes; end if size(bboxes,1)>1 s1=bboxes(1,2); s2=bboxes(1,4); s3=bboxes(1,1); s4=bboxes(1,3); d=(img(s1:s1+s2,s3:s3+s4,:)); %imshow(d) %rectangle('Position',[s1,s2,s3,s4]);%,'Curvature',cur) %adds curvature to the sides rectangle('Position',[s2,s1,s4,s3],... 'LineWidth',2,'LineStyle','-') else bboxes=ss1; s1=bboxes(1,2); s2=bboxes(1,4); s3=bboxes(1,1); s4=bboxes(1,3); d=(img(s1:s1+s2,s3:s3+s4,:)); %imshow(d) %rectangle('Position',[s1,s2,s3,s4]);%,'Curvature',cur) %adds curvature to the sides rectangle('Position',[s2,s1,s4,s3],... 'LineWidth',2,'LineStyle','-') pause(0.01) end imwrite(d,['ee1\',num2str(ix),'.jpg']); %else % imwrite(d,['ee1\',num2str(ix-1),'.jpg']); %end end % --- 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) aj1=[] %img=imread('sy.jpg'); for ix=1:6 d=imread(['ee1\',num2str(ix),'.jpg']); [d1,d2,d3]=size(d) d=rgb2gray(d); %imshow(d) %RightEye=im2bw(img(176:176+34,515:515+57,:),0.8); %imshow(d) eyes=imresize(d,[35 35]); % 显示原始图像 axes(handles.axes3) %imshow(eyes); %drawnow; % 伽马增强+反色处理+形态学闭运算平滑连通域 %figure%axes(handles.axes3); se=5; eyes_gamma=imadjust(eyes,[],[],0.960); eyesBin=1-imbinarize((eyes_gamma),0.3); eyesBin=imclose(eyesBin,se); imshow(eyesBin); title('eye') drawnow; % 提取最大连通域即人眼的虹膜区域 %figure%axes(handles.axes3); % 提取最大连通域 [L num]=bwlabel(eyesBin,8); maxL=mode(L(L~=0)); eyesBin(find(L~=maxL))=0; % 提取虹膜的矩形边界 [r c]=find(eyesBin==1); minX=min(c); maxX=max(c); minY=min(r); maxY=max(r); if max(eyesBin)==0 minX=16; maxX=16; minY=16; maxY=16; end % 计算虹膜区域的均值中心 Xmean=mean([minX,maxX]); Ymean=mean([minY,maxY]); y1=abs(minY-maxY); % 绘制定位经纬线 target=eyesBin; target(:,minX)=1; target(:,maxX)=1; target(minY,:)=1; target(maxY,:)=1; axes(handles.axes4) imshow(target); %if y1<5 %title(strcat('eye1=',num2str(y1),' ，疲劳')) %else % title(strcat('eye1=',num2str(y1),' ，不疲劳')) %end %hold on, %plot(Xmean,Ymean,'Marker','*','MarkerSize',13,'MarkerEdgeColor','r','MarkerFaceColor','r'), %hold off; aj1=[aj1,y1]; % 显示klt追踪 %era/article/details/92149411 end axes(handles.axes5) save aj1.mat aj1 title(['显示的疲劳概率为',num2str(3/7)]) dd=sort(aj1) axes(handles.axes6) plot(dd,'-*') title('眼睛的开度数值')