[GRASS-dev] Image Segmentation - Summer of Code

[Markus Neteler]

Hi Eric,


great work with the i.segment, I just made a test with the NC Landsat
sample data:

i.segment -w -l group=lsat7_2000 output=testsegment threshold=4 \
               method=region_growing similarity=euclidean minsize=20

The result looks already pretty nice without further parameter tuning.

It would now be cool to susequently perform a unsupervised classification
with, say, i.cluster/i.maxlik in order to group the segments to a certain
number of classes.

Would that be feasible from the resulting image statistics?

thanks
MarkusN