Dear Bo,
On 24/03/16 06:26, Yang, Bo (yangb2) wrote:
Dear Moritz,
Thank you for the reply, and thanks you and Markus could be the
mentor of the i.segment project! There are only two days left for
submitting the proposal, take into consideration I think I need to
switch to the topic of i.segment project now.
Thank you for the flexibility !
For my cokriging fusion
topic I think I could do it after this summer in the future work.
Great !
I've read the source code and Eric's wiki of GSoC 2012 [0]. I think I
will prepare the proposal following the direction of adding new
algorithms to segment an image into objects-- more than
region-growing algorithm. Moritz, you mentioned segmentation
algorithm: mean-shift, split-window and watershed.
Yes, as the general logistics of the i.segment module is in place,
adding new segmentation algorithms should not be too hard, so adding
several should be possible during this GSoC.
I think some
unsupervised classification algorithms would also be possible such
as: dynamic thresholding and markov random field (MRF).
Unsupervised classification could be an interesting addition.
However, I would think KISS. So, concentrate on the segmentation. You
can add classification in the the project as a possible extension, in
case you finish early with the segmentation.
In any case, classification should be a separate module. The idea is to
have each module do one thing. Currently classification is proposed by
v.class.ml and v.class.mlR (but the latter is a very simple hack I did
for teaching - I'm currently busy rewriting it), but they are supervised.
For classification segment characterization is also important. Currently
we have two Python-based modules for that v.class and i.segment.stats.
One option might be to think about more efficient approaches and more
variables for that.
If you think
it is OK, I will start the preparing the draft of proposal from now
on, and I think I could have the first version send back to you by
tomorrow (Thursday).
Perfect. Markus and I are in Europe so don't forget about time zones
when thinking about when to send us your draft...
If you have any suggestions and comments please
let me know.
Markus can give you more details about the actual implementation. I
think in your proposal you should show that you have a general idea of
how i.segment works, and you should review different segmentation
techniques, possibly with relevant literature references. You might also
want to have a look at Orfeo Toolbox and their implementation of some of
the segmentation algorithms.
In general, it would be nice to add at least one or two top-down methods
as this would allow top-down hierarchical segmentation, while the
current region growing approach only allows bottom-up hierarchical
segmentation.
Final note just to make sure that this is clear: please be aware that
there are other GRASS-related proposals and that we do not know how many
slots we will get for GRASS. There is thus no guarantee that your
proposal will be chosen.
Best wishes,
Moritz
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