lyngby_cons_main

 lyngby_cons_main     - Consensus modeling

       function R = lyngby_cons_main(X, ...
          'PropertyName', 'PropertyValue')

       Input:    X         Matrix. 

       Property: Scaling   [ {HistEq} | None ] 

       Output:          R.mean    Mean across summary images
                 R.std     Standard desviation across summary images 
                 R.labels  Labels for the summary images included.
                 R.svdU    Singular model batches
                 R.svdL    Singular values
                 R.svdV    Eigenimages 

       This function performs 'consensus modeling' were the consensus
       (mean) of several summary images are computed.

       If histogram equalization scaling is applied then it is
       performed with respect to the first volume in 'X', ie, the
       histogram of the other volumes X(2:end,:) are converted to
       match the first volume X(1,:). 

       See also LYNGBY, LYNGBY_HISTEQ, LYNGBY_CONS_INIT.

 $Id: lyngby_cons_main.m,v 1.3 2002/05/08 15:14:01 fnielsen Exp $