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Dear Freesurfer experts,
I am using "mris_divide_parcellation"  in order to increase the region 
numbers of Freesurfer parcellation output using "recon-all". e.g i have a 
200-region parcellation.Now i wanna use "mris_ca_train" and this .annot file 
as an input to create an atlas file(.gcs). The code i run and the results on 
the terminal are :
$ mris_ca_train lh sphere.reg LDestrieux200 test1 
$SUBJECTS_DIR/test1/label/lh.Destrieux200.gcs
computing means for 1 subject
processing subject test1, 1 of 1...
reading colortable from annotation file...
colortable with 261 entries read (originally none)
4210 classifier means computed, 1.6/vertex, 0.5 priors/vertex
computing covariances for 1 subject
processing subject test1, 1 of 1...
reading colortable from annotation file...
colortable with 261 entries read (originally none)
75009 holes filled in class prior array
0 holes filled in gcsan array
writing classifier array to 
/home/user/Desktop/Maedeh/test1/label/lh.Destrieux200.gcs...
classifier array training took 0 minutes and 4 seconds.



the problem is that when i use "lh.Destrieux200.gcs" and "mris_ca_label" to 
create an annotation file, the result i have is kinda awful !! and when i 
check it by tksurfer , the parcellation is not complete and i just see few 
regions...i dunno where i am making a mistake.
the code and the results on terminal are :
mris_ca_label test1 lh sphere.reg lh.Destrieux200.gcs 
$SUBJECTS_DIR/test1/label/lh.myDestrieux200.annot
$Id: mris_ca_label.c,v 1.37 2014/02/04 17:46:42 fischl Exp $
  $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $
reading atlas from lh.Destrieux200.gcs...
average std = 0.2   using min determinant for regularization = 0.000
0 singular and 570 ill-conditioned covariance matrices regularized
input 0: MEAN CURVATURE, flags 0, avgs 5, name mean_curvature
labeling surface...
relabeling using gibbs priors...
000:    479 changed, 114679 examined...
001:     18 changed, 2844 examined...
002:      1 changed, 89 examined...
003:      0 changed, 5 examined...
000: 241 total segments, 38 labels (248 vertices) changed
001: 203 total segments, 0 labels (0 vertices) changed
10 filter iterations complete (10 requested, 7 changed)
writing output to 
/home/user/Desktop/Maedeh/test1/label/lh.myDestrieux200.annot...
classification took 0 minutes and 3 seconds.

 I would be grateful if u could help me.
Cheers,
Maedeh,
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