How to divide a skeleton into regions based on labels after detecting them in order to connect these regions to determine all the possible paths to matches extremities ?

Is it possible to divide that skeleton below :

 to a set of regions based on labels below :
X=[1 0 1 ;
   0 1 0 ;
   1 0 1 ;];
Y=[1 0 1 ;
   0 1 0 ;
   1 0 0 ;];
O=[0 1 0 ;
   1 0 1 ;
   0 1 0 ;];
-=[0 0 0 ;
   1 1 1 ;
   0 0 0 ;];
L=[1 0 0 ;
   1 0 0 ;
   1 1 1 ;];

after detecting them using this code :

 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

in order to connect these regions:

1)for every extremity how to determine all the possible paths to matches extremities

2)for every extremity how to determine the paths which verify a configuration of the set of patterns .

here is the source image to perform tests :

https://plus.google.com/photos/yourphotos?banner=pwa&pid=5951475143755957906&oid=109398178563710623613

Any idea? help is much appreciated

Answer 1

[Image Analyst]

Can't you just set your image to 0 (false) at those locations, instead of plotting a marker over them? That would break it apart.