how to plot many plots at the same one?

Hello,

I'm tying to show the result (five plots for detected patterns) of the code below in one plot but in vain,

any idea please

help is much appreciated

n = 50 ;

 A = double( rand(n, n+1) > 0.5 ) ;
 B = 2*A - 1 ;
 patterns = {[1 0 1; 0 1 0; 1 0 1]; ... % X
             [1 0 1; 0 1 0; 1 0 0]; ... % Y
             [0 1 0; 1 0 1; 0 1 0]; ... % O
             [0 0 0; 1 1 1; 0 0 0]; ... % -
             [1 0 0; 1 0 0; 1 1 1]} ;   % L
 labels   = {'X', 'Y', 'O', '-', 'L'} ;
 matches  = cell( size(labels )) ;
 for pId = 1 : numel( patterns )
     nel    = numel( patterns{pId} ) ;
     ker    = 2*patterns{pId} - 1 ;    
     [r, c] = find( conv2(B, rot90(rot90(ker)), 'same') == nel ) ;
     matches{pId} = [r, c] ;
     figure(pId) ;  clf ;  hold on ;
     spy(A) ;
     plot( c, r, 'r+', 'MarkerSize', 20 ) ;
     title( sprintf( 'Matches for "%s" pattern', labels{pId} )) ;
     set( gcf, 'Units', 'normalized' ) ;
     set( gcf, 'Position', [0 0 0.4 0.7] ) ;
 end

Answer 1

[Image Analyst]

Try using subplot() and getting rid of the set()s:

n = 50;
A = double( rand(n, n+1) > 0.5 ) ;
B = 2*A - 1 ;
patterns = {[1 0 1; 0 1 0; 1 0 1]; ... % X
  [1 0 1; 0 1 0; 1 0 0]; ... % Y
  [0 1 0; 1 0 1; 0 1 0]; ... % O
  [0 0 0; 1 1 1; 0 0 0]; ... % -
  [1 0 0; 1 0 0; 1 1 1]} ;   % L
labels   = {'X', 'Y', 'O', '-', 'L'} ;
matches  = cell( size(labels )) ;
for pId = 1 : numel( patterns )
  subplot(2,3,pId); % Put plot into this location.
  nel    = numel( patterns{pId} ) ;
  ker    = 2*patterns{pId} - 1 ;
  [r, c] = find( conv2(B, rot90(rot90(ker)), 'same') == nel ) ;
  matches{pId} = [r, c] ;
%   figure(pId) ;  clf ;  
  hold on ;
  spy(A) ;
  plot( c, r, 'r+', 'MarkerSize', 20 ) ;
  title( sprintf( 'Matches for "%s" pattern', labels{pId} )) ;
%   set( gca, 'Units', 'normalized' ) ;
%   set( gca, 'Position', [0 0 0.4 0.7] ) ;
end
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0 1 1]);

[mika]

Thank you for your fast reply,

i'm trying to show the result of the shape recognition of 5 patterns at the same plot wich is only one plot. not the five plot at one using subplot.

any idea

thank you

[Image Analyst]

Try this:

n = 50;
A = double( rand(n, n+1) > 0.5 ) ;
B = 2*A - 1 ;
patterns = {[1 0 1; 0 1 0; 1 0 1]; ... % X
  [1 0 1; 0 1 0; 1 0 0]; ... % Y
  [0 1 0; 1 0 1; 0 1 0]; ... % O
  [0 0 0; 1 1 1; 0 0 0]; ... % -
  [1 0 0; 1 0 0; 1 1 1]} ;   % L
labels   = {'X', 'Y', 'O', '-', 'L'} ;
for pId = 1 : numel( patterns )
  nel    = numel( patterns{pId} ) ;
  ker    = 2*patterns{pId} - 1 ;
  [r, c] = find( conv2(B, rot90(rot90(ker)), 'same') == nel ) ;
  % Append these r and c to the master list.
  if pId == 1
    % First one
    allR = r;
    allC = c;
  else
    allR = [allR; r(:)];
    allC = [allC; c(:)];
  end
end
plot(allC, allR, 'r+', 'MarkerSize', 20 ) ;
title( sprintf( 'Matches for "%s" pattern', labels{pId} )) ;
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0 1 1]);

Answer 2

[Bruno Pop-Stefanov]

Hi Mika,

If you want to draw all the patterns in the same figure, you should indeed use hold on, however, by calling figure with a different ID number at each iteration of the loop, you create a new figure for each pattern. Also, you use clf which clears everything that was previously plotted on the current figure. Change your code to the following and that should work:

close all
clear all
clc

n = 50 ;

A = double( rand(n, n+1) > 0.5 ) ;
B = 2*A - 1 ;
patterns = {[1 0 1; 0 1 0; 1 0 1]; ... % X
    [1 0 1; 0 1 0; 1 0 0]; ... % Y
    [0 1 0; 1 0 1; 0 1 0]; ... % O
    [0 0 0; 1 1 1; 0 0 0]; ... % -
    [1 0 0; 1 0 0; 1 1 1]} ;   % L
labels   = {'X', 'Y', 'O', '-', 'L'} ;
matches  = cell( size(labels )) ;
for pId = 1 : numel( patterns )
    nel    = numel( patterns{pId} ) ;
    ker    = 2*patterns{pId} - 1 ;
    [r, c] = find( conv2(B, rot90(rot90(ker)), 'same') == nel ) ;
    matches{pId} = [r, c] ;
    figure(1) ;  hold on ;
    spy(A) ;
    plot( c, r, 'r+', 'MarkerSize', 20 ) ;
    title( sprintf( 'Matches for "%s" pattern', labels{pId} )) ;
    set( gcf, 'Units', 'normalized' ) ;
    set( gcf, 'Position', [0 0 0.4 0.7] ) ;
end