Re: [GRASS-user] Image segmentation to separate object from background

[Markus Neteler]

On Mon, Jun 26, 2017 at 4:32 PM, Nikos Alexandris
 wrote:
...
> I was looking for, similarly, last week. What is the status of:
>
> - ann.create; ann.info; ann.data.rast; ann.learn; ann.run.rast? See
> doi:10.4172/2329-6755.1000145
> - see also related reference about "ann.*" at
> https://grasswiki.osgeo.org/wiki/AddOns
>  -- link is "broken".
> - http://www.uam.es/proyectosinv/Mclim/pdf/MBenito_EcoMod.pdf: broken
>  linke reference in our wiki (https://grasswiki.osgeo.org/wiki/R_statistics)

 I fixed in in the wiki:
 --> https://dx.doi.org/10.1016/j.ecolmodel.2006.03.015
   behind a paywall, though... (I can send an author's copy upon request).

Markus
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Re: [GRASS-user] Image segmentation to separate object from background

[Nikos Alexandris]

* Moritz Lennert  [2017-06-26 15:38:53 +0200]:


On 26/06/17 15:01, Johannes Radinger wrote:

Hi GRASS users,

has anyone of you tried to use GRASS image tools (e.g. segmentation etc)
to identify an object in a picture. For example I have multiple photos
of fish and would like to separate the fish from its background in an
automatized way. The images look like:

http://fishbase.org/photos/PicturesSummary.php?ID=4730=species

http://fishbase.org/photos/PicturesSummary.php?StartRow=0=4662=species=5


So what I already know apriori: I would like two final classes (fish and
background), the fish is more or less centred within each picture, and
there is only one fish in each picture. I played already around with
i.segment but the results are not yet satisfying.


You will certainly have to go through a classification phase:
oversegment the image and then classify the resulting segments as fish
or non-fish. Probably results will be better if you classify into more
non-fish classes which you can then merge at the end.

Currently, we don't have semantic segmentation in GRASS GIS, i.e.
segmentation that "recognizes" real objects and it is difficult to get
complete real objects just through the segmentation methods we have
(check i.segment, i.superpixels.slic, but also edge detection, such as
i.zc).

For real semantic object recognition, neural network approaches seem the
way to go today, so you might want to look into those.

Moritz


I was looking for, similarly, last week. What is the status of:

- ann.create; ann.info; ann.data.rast; ann.learn; ann.run.rast? See 
doi:10.4172/2329-6755.1000145
- see also related reference about "ann.*" at 
https://grasswiki.osgeo.org/wiki/AddOns
 -- link is "broken".
- http://www.uam.es/proyectosinv/Mclim/pdf/MBenito_EcoMod.pdf: broken
 linke reference in our wiki
 (https://grasswiki.osgeo.org/wiki/R_statistics)

Nikos
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Re: [GRASS-user] Image segmentation to separate object from background

[Moritz Lennert]

On 26/06/17 15:01, Johannes Radinger wrote:

Hi GRASS users,

has anyone of you tried to use GRASS image tools (e.g. segmentation etc)
to identify an object in a picture. For example I have multiple photos
of fish and would like to separate the fish from its background in an
automatized way. The images look like:

http://fishbase.org/photos/PicturesSummary.php?ID=4730=species

http://fishbase.org/photos/PicturesSummary.php?StartRow=0=4662=species=5


So what I already know apriori: I would like two final classes (fish and
background), the fish is more or less centred within each picture, and
there is only one fish in each picture. I played already around with
i.segment but the results are not yet satisfying.


You will certainly have to go through a classification phase: 
oversegment the image and then classify the resulting segments as fish 
or non-fish. Probably results will be better if you classify into more 
non-fish classes which you can then merge at the end.


Currently, we don't have semantic segmentation in GRASS GIS, i.e. 
segmentation that "recognizes" real objects and it is difficult to get 
complete real objects just through the segmentation methods we have 
(check i.segment, i.superpixels.slic, but also edge detection, such as 
i.zc).


For real semantic object recognition, neural network approaches seem the 
way to go today, so you might want to look into those.


Moritz
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[GRASS-user] Image segmentation to separate object from background

[Johannes Radinger]

Hi GRASS users,

has anyone of you tried to use GRASS image tools (e.g. segmentation etc) to
identify an object in a picture. For example I have multiple photos of fish
and would like to separate the fish from its background in an automatized
way. The images look like:

http://fishbase.org/photos/PicturesSummary.php?ID=4730=species
http://fishbase.org/photos/PicturesSummary.php?StartRow=
0=4662=species=5

So what I already know apriori: I would like two final classes (fish and
background), the fish is more or less centred within each picture, and
there is only one fish in each picture. I played already around with
i.segment but the results are not yet satisfying.

Any ideas?

/johannes
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