GUIxingzhuang.zip_台标 检测_台标 检测_台标 识别_形状检测_电视台标识别

function varargout = untitledx(varargin) % UNTITLEDX MATLAB code for untitledx.fig % UNTITLEDX, by itself, creates a new UNTITLEDX or raises the existing % singleton*. % % H = UNTITLEDX returns the handle to a new UNTITLEDX or the handle to % the existing singleton*. % % UNTITLEDX('CALLBACK',hObject,eventData,handles,...) calls the local % function named CALLBACK in UNTITLEDX.M with the given input arguments. % % UNTITLEDX('Property','Value',...) creates a new UNTITLEDX or raises the % existing singleton*. Starting from the left, property value pairs are % applied to the GUI before untitledx_OpeningFcn gets called. An % unrecognized property name or invalid value makes property application % stop. All inputs are passed to untitledx_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 untitledx % Last Modified by GUIDE v2.5 26-May-2015 15:49:16 % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @untitledx_OpeningFcn, ... 'gui_OutputFcn', @untitledx_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 untitledx is made visible. function untitledx_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 untitledx (see VARARGIN) % Choose default command line output for untitledx handles.output = hObject; % Update handles structure guidata(hObject, handles); % UIWAIT makes untitledx wait for user response (see UIRESUME) % uiwait(handles.figure1); % --- Outputs from this function are returned to the command line. function varargout = untitledx_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) for i=1:20 strtemp=strcat('C:\Users\lii\Desktop\4\',int2str(i),'.','jpg'); img=imread(strtemp); axes(handles.axes1); imshow(img); img1=rgb2gray(img); [m,n]=size(img1); x0=round(0.05*m); y0=round(0.07*n); img2=img1(x0:x0+99,y0:y0+149); img5=img(x0:x0+99,y0:y0+149,:); img3=edge(img2, 'canny'); E(:,:,i)=img3; a=(i-1)/i; if(i==1) s(:,:,1)=(1-a)*E(:,:,1); else s(:,:,i)=a*s(:,:,i-1)+(1-a)*E(:,:,i); end end se = strel('disk',6);%用于膨胀腐蚀及开闭运算等操作的结构元素对象 b=imdilate(s(:,:,20),se); img4=img5; for i=1:100 for j=1:150 if b(i,j)==1 img4(i,j,:)=img5(i,j,:); else img4(i,j,:)=255; end end end axes(handles.axes2); imshow(img4); imwrite(img4,'C:\Users\lii\Desktop\待识别.jpg','jpg'); %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%形状检索 rgb_img=imread('C:\Users\lii\Desktop\待识别.jpg'); gray_img=rgb2gray(rgb_img); % subplot(2,1,1);imshow(gray_img); [row,col]=size(gray_img); gray_img=double(gray_img); % 使用canny算子，提取边缘 edge_canny=edge(gray_img,'canny'); edge_num=sum(sum(edge_canny));%边缘总点数 % subplot(2,1,2);imshow(edge_canny); %计算梯度矢量Gx,Gy for cir1=2:row-1 for cir2=2:col-1 Gx(cir1,cir2)=sum(gray_img(cir1-1:cir1+1,cir2+1))... -sum(gray_img(cir1-1:cir1+1,cir2-1))... +gray_img(cir1,cir2+1)-gray_img(cir1,cir2-1); Gy(cir1,cir2)=sum(gray_img(cir1+1,cir2-1:cir2+1))... -sum(gray_img(cir1-1,cir2-1:cir2+1))... +gray_img(cir1+1,cir2)-gray_img(cir1-1,cir2); Gx(cir1,cir2)=Gx(cir1,cir2)+(Gx(cir1,cir2)==0)*1e-6; % 为避免分母为0，加上一个很小的值。 theta(cir1,cir2)=atan2(Gy(cir1,cir2),Gx(cir1,cir2))*180/pi; %atan2：计算边缘方向；范围：[-pi,pi]；弧度->角度： [-180,180] end end % 将[-180,180]每10度分为一组，那么方向被量化为36 bin TH=[-170,-160,-150,-140,-130,-120,-110,-100,-90, -80,-70,-60,-50,-40,-30,-20,-10, 0,10,20,30,40,50,60,70,80,90,100,110,120,130,140,150,160,170,180;... -180,-170,-160,-150,-140,-130,-120,-110,-100,-90,-80,-70,-60,-50,-40,-30,-20,-10,0,10,20,30,40,50,60,70,80,90,100,110,120,130,140,150,160,170]; % 存储各方向像素数目的数组 bar_hist= zeros(1,36); %edge_theta=theta&edge_canny; for cir1=1:row for cir2=1:col for k=1:36 if (edge_canny(cir1,cir2)==1 & theta(cir1,cir2)<TH(1,k) & theta(cir1,cir2)>=TH(2,k)) bar_hist(k)=bar_hist(k)+1; end end end end disp(bar_hist); x=1:36; T0=bar_hist; axes(handles.axes3); bar(x,bar_hist(x)); % --- 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) tic; rgb_img=imread('C:\Users\lii\Desktop\待识别.jpg'); gray_img=rgb2gray(rgb_img); [row,col]=size(gray_img); gray_img=double(gray_img); % 使用canny算子，提取边缘 edge_canny=edge(gray_img,'canny'); edge_num=sum(sum(edge_canny));%边缘总点数 %计算梯度矢量Gx,Gy for cir1=2:row-1 for cir2=2:col-1 Gx(cir1,cir2)=sum(gray_img(cir1-1:cir1+1,cir2+1))... -sum(gray_img(cir1-1:cir1+1,cir2-1))... +gray_img(cir1,cir2+1)-gray_img(cir1,cir2-1); Gy(cir1,cir2)=sum(gray_img(cir1+1,cir2-1:cir2+1))... -sum(gray_img(cir1-1,cir2-1:cir2+1))... +gray_img(cir1+1,cir2)-gray_img(cir1-1,cir2); Gx(cir1,cir2)=Gx(cir1,cir2)+(Gx(cir1,cir2)==0)*1e-6; % 为避免分母为0，加上一个很小的值。 theta(cir1,cir2)=atan2(Gy(cir1,cir2),Gx(cir1,cir2))*180/pi; %atan2：计算边缘方向；范围：[-pi,pi]；弧度->角度： [-180,180] end end % 将[-180,180]每10度分为一组，那么方向被量化为36 bin TH=[-170,-160,-150,-140,-130,-120,-110,-100,-90, -80,-70,-60,-50,-40,-30,-20,-10, 0,10,20,30,40,50,60,70,80,90,100,110,120,130,140,150,160,170,180;... -180,-170,-160,-150,-140,-130,-120,-110,-100,-90,-80,-70,-60,-50,-40,-30,-20,-10,0,10,20,30,40,50,60,70,80,90,100,110,120,130,140,150,160,170]; % 存储各方向像素数目的数组 bar_hist= zeros(1,36); %edge_theta=theta&edge_canny; for cir1=1:row for cir2=1:col for k=1:36 if (edge_canny(cir1,cir2)==1 & theta(cir1,cir2)<TH(1,k) & theta(cir1,cir2)>=TH(2,k)) bar_hist(k)=bar_hist(k)+1; end end end end disp(bar_hist); x=1:36; T0=bar_hist; % figure; % bar(x,bar_hist(x)); %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%循环输入图像 for i=1:11 strtemp=strcat('C:\Users\lii\Desktop\01\',int2str(i),'.','jpg'); rgb_img=imread(strtemp); gray_img=rgb2gray(rgb_img); [m n]=size(gray_img); gray_img=double(gray_img); %%%%%%%%%%%%%%%%%%%%% %计算每一副图片的边缘直方图 % 使用canny�