Hi,


Those attributes are currently not computed in the LSMS framework. You can 
always write some code using the LabelObject* classes to compute them from the 
label image output of the LSMS framework. It will work to some extent if your 
computer is big enough : the problem is that those classes read the whole image 
into memory. This also explains why it is not available in LSMS, since the 
whole point of LSMS is to get rid of memory limitations.



Regards,



Julien


De : [email protected] [mailto:[email protected]] De la part 
de Darell van der Voort
Envoyé : lundi 27 juin 2016 10:05
À : otb-users
Objet : [otb-users] Shape attributes after segmentation

Hi,

I'm using the Exact Large-Scale Mean-Shift segmentation framework to 
successfully segment my images. As an output I get the raster with regions and 
the shapefile which contains an attribute table with some radiometric 
attributes. I am looking for the most efficient way to also get the shape 
attributes from my segmented image.
Is there a build-in function to compute the shape attributes which are also 
available through itkShapeLabelObject 
(https://itk.org/Doxygen/html/itkShapeLabelObject_8h_source.html)? I know that 
when using the CC segmentation it is possible to use these attributes as an 
OBIA expression with the following syntax: 'SHAPE_Elongation, SHAPE_perimeter 
etc..'. I would like to have these attributes either in the shapefile or as an 
raster attribute table.

Also, is it possible to get information on texture (smoothness, local 
homogeneity) and relation to neighbors, subobjects and superobjects using one 
of the Orfeo tools? Other Python libraries are also welcome! I am now using 
regionprops from the skimage library to compute shape attributes.

Many thanks in advance.

Kind regards,
Darell
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