How to display single input webcam in one axes and then use it in next 3 axes for output

Hii I am making gui with 4 axes (axes1,axes2,axes3,axes4)and a button to start live video in axes1 after loading original video i want to use it in another 3 axes for output like color and motion detecion but when I used it in axes2 it never show output for axes3 please help me out

[B.k Sumedha]

Give some part of the code so that it will be helpful for analysis

[nikita rane]

thanks for the reply

This is my code

function varargout = fdm(varargin)
% FDM MATLAB code for fdm.fig
%      FDM, by itself, creates a new FDM or raises the existing
%      singleton*.
%
%      H = FDM returns the handle to a new FDM or the handle to
%      the existing singleton*.
%
%      FDM('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in FDM.M with the given input arguments.
%
%      FDM('Property','Value',...) creates a new FDM or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before fdm_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to fdm_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 fdm

% Last Modified by GUIDE v2.5 05-May-2015 20:22:22

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @fdm_OpeningFcn, ...
                   'gui_OutputFcn',  @fdm_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 fdm is made visible.
function fdm_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 fdm (see VARARGIN)

% Choose default command line output for fdm
handles.output = hObject;

% Update handles structure
guidata(hObject, handles);

% UIWAIT makes fdm wait for user response (see UIRESUME)
% uiwait(handles.figure1);

% --- Outputs from this function are returned to the command line.
function varargout = fdm_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 vid
error=50;
s=25;
vid=videoinput('winvideo',2,'YUY2_640x480');% take video input

triggerconfig(vid,'manual');  % after triggering only we get video
set(vid,'FramesPerTrigger',1); %only 1 frame per trigger
set(vid,'TriggerRepeat', Inf); %repeating trigger infinite timf
set(vid,'ReturnedColorSpace','rgb');% colour space used is rgb

i=0;
start(vid);% video is started

%adjusting for background noise

for n=1:50
    trigger(vid);
    temp=getdata(vid,1);
    f(:,:,mod(n,2)+1)=temp(2);
    g=f(:,:,1)~=f(:,:,2);
    imshow(g);
    %sm(1,n)=backgroundcheck(g);
end
clear g;
clear temp;

   %f=zeros(480,640,2);
  %s=max(sm(25:50));
  if (nargin==0)
      error=2;
  end
  s=(s*(error+100))/100;% calculate sensitivity
  clear sm;
  clc
  disp('backbround sensitivity=');%display sensitivity
  disp(s);

disp('MOTION DETECTOR ON ->');
prev=getsnapshot(vid);%take video snpshot as previous one 
while(1)
% for mk=1:100
 j=0;
    trigger(vid);
    temp=getdata(vid,1);% take video data
    axes(handles.axes1); %point to the axes where u want to display the frame

      imshow(temp);  %show the frame on axes
      g=getsnapshot(vid); %get current frame 
      %f(:,:,mod(i,2)+1)=temp;

      %g=f(:,:,1)~=f(:,:,2);
     %g=rgb2gray(g);
      a=prev-g; %take difference between 2 frames
      a=rgb2gray(a);
      %compp=sum(sum(a));
     %disp(compp);
     %err=((s/10)*100*50);
     %disp(err);
     prev=g; % store current frame as previous frame
      if((sum(sum(a))/100)>(s/10)*100*50)%check if difference between frames is greater than threshold

%        axes(handles.axes5);
%        imshow('abc.jpg');%yes than motion detected
       axes(handles.axes2);
     imshow(a); 

        %show difference as snapshot 
  %       imwrite(g,'captured.jpeg');%store difference to folder
        j=j+1;% continue the loop
      else
  %         axes(handles.axes5);
  %         imshow('pqr.jpg');
          pause(1)
      end

      if(mod(j,6)==0)  %check if motion detected 6 times
          clc;
          disp('MOTION DETECTOR ON ->');
  %         y=y(1:3000); %  to play the alarm
  %       0  for a=1:4
  %             wavplay(y,4500,'sync');

      end
         i=i+1;
  %     disp('difference');
  %     disp(sum(sum(sum(a))));
     %continue the loop
  end

   while(vid1.FramesAcquired<=100000)
       data = getsnapshot(vid1);
        % from the grayscale image to extract the red components in the image.
      diff_im = imsubtract(data(:,:,1), rgb2gray(data));
      %Use a median filter to filter out noise
      diff_im = medfilt2(diff_im, [3 3]);
      % Convert the resulting grayscale image into a binary image.
      diff_im = im2bw(diff_im,0.18);

      % Remove all those pixels less than 300px
      diff_im = bwareaopen(diff_im,300);

      % Label all the connected components in the image.
      bw = bwlabel(diff_im, 8);

      % Here we do the image blob analysis.
      % We get a set of properties for each labeled region.
      stats = regionprops(bw, 'BoundingBox', 'Centroid');

      % Display the image

      imshow(diff_im)

      hold on

      %This is a loop to bound the red objects in a rectangular box.
      for object = 1:length(stats)
          bb = stats(object).BoundingBox;
          bc = stats(object).Centroid;
          rectangle('Position',bb,'EdgeColor','y','LineWidth',2)
  %         plot(bc(1),bc(2), '-m+')
  %         a=text(bc(1)+15,bc(2), strcat('X: ', num2str(round(bc(1))), '    Y: ', num2str(round(bc(2)))));
  %         set(a, 'FontName', 'Arial', 'FontWeight', 'bold', 'FontSize', 12, 'Color', 'yellow');
      end
       axes(handles.axes3);
      hold off
      end

% --- 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 vid
stop(vid);

• *this is my output

but it is displaying only motion detection in axes2 but not showing color detection in axes3 which is given in code**

Answer 1

[Walter Roberson]

Do not rely on the active axes() call to display your output. Always Parent your graphics operations. See this discussion.

Amongst other things doing so will help catch assumptions about which axes is active that turn out not to be true.

[nikita rane]

I had implemented code as per your suggestion but it is not working.