[Insight-users] Object-based processing

[Xabier Artaechevarria Artieda]

Hi Jordi,

you can have a look at  
http://public.kitware.com/Insight/Doxygen/html/classitk_1_1LabelStatisticsImageFilter.html

and

http://www.insight-journal.org/browse/publication/176

Regards,
Xabier

-- 
Xabier Artaechevarria
Cancer Imaging Laboratory
Centre for Applied Medical Research
www.cima.es



Jordi Inglada <jordi.inglada at cnes.fr> ha escrito:

> Dear all,
>
> I would like to do some processing (say, computing statistics) on an
> image, but not in the classical pixel-wise or neighborhood-wise way, but
> rather on segments (or objects). For example, I would like to compute
> the variance inside every region obtained after a watershed
> segmentation.
>
> I understand that I could use masks (spatial objects or image masks),
> but I guess this may not be very efficient, since I do not want to
> compute this for a single region of the image, but for all regions of an
> image partition.
>
> Of course, I would like to have streaming and threading in my
> pipeline ;).
>
> I have been looking at the library API and I do not see any
> straightforward approach to implement this kind of processing.
>
> I have been using the "NaryFunctorImageFilters" and I have even created
> a class for NaryFunctorImageWithNeighborhoodFilters (when the processing
> is not only pixel-based, but with a sliding window). Colleagues of mine
> have implemented a "WithOffset" version in order to compute texture-like
> features.
>
> I guess it would be nice to have something like a neighborhood iterator
> but for connected components in the image (segments or objects). But
> before diving into such kind of implementation, I would like to have
> advices from experienced ITK users about this problem.
>
> Thanks in advance for your help and feedback.
>
> Jordi
>
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>
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