[Insight-users] StatisticsLabelObject

[Christian Werner]

Hello!

I am wondering why the StatisticsLabelObject has the exact same and 
additional information as the ShapeLabelObject. Doesn't this make the 
itkShapeLabelObject obsolete? Or maybe having both can speed up your 
software if you're interested only in the shape attributes.

Well this is not so important, there is something else that's not clear 
to me. In the StatisticLabelObject I find such pairs of functions:

GetBinaryElongation() and GetElongation(),
GetBinaryFlatness() and GetFlatness(), ...

How do they differ? Also, I find the paper explaining the handling of 
these libraries ("Label Object Representation and Manipulation in ITK") 
a bit outdated. Is there a newer version? If there is a demand I'd be 
happy to invest some time updating some sections, especially the example 
section where I am missing some typical applications (at least for what 
I am doing).

Also, the doxygen documentation presents the StatisticsLabelMapFilter 
like this:
itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, 
TOutputImage > Class Template Reference

Hmm... 2 Inputs. One of them a has features.(?) It is hard to understand 
which input has which purpose at first glance. The documentation shows 
an example that uses a mask as the TInputImage so maybe it would be a 
good idea to call it TMaskImage.

Anyway, I have these classes implemented nicely into my software and I 
can't stress enough how glad I am that these ITK classes exist. I just 
wanted to point out that the documentation could use an update.


Best regards,
Christian