[Insight-users] Multi-Spectral segmentation, K-means and Python wrapping

[Luis Ibanez]

Hi Tom,

My only suggestion could be to add the KMeans filter to the set of
wrapped filters.

You may want to give it a shot by looking at other wrapped filters
in the Insight/Wrapping directory.

Are you using WrapITK ?

In that case, Gaetan will be the best person to provide advice.


Another option is to take a full ITK pipeline (instead of every
individual class) and wrapping for Python. In that way you will
have access to a higher-level segmentation algorithm.


   Regards,


      Luis


---------------
Tom Nash wrote:
> Hi Luis\All
> 
> I was going through the example and I think ImageKmeansModelEstimator is 
> a good way to go ahead with K-Means. But my basic problem is I'm using 
> ITK wrapped with Python and hence none of the C++ classes and header 
> files are available in my Python module. Porting all of the code might 
> be a tiresome task. Do you have any suggestions on how to proceed.
> 
> Regards
> Tom
> 
> 
>  > Date: Fri, 19 Sep 2008 09:28:43 -0400
>  > From: luis.ibanez at kitware.com
>  > To: tomnash1 at hotmail.com
>  > CC: insight-users at itk.org
>  > Subject: Re: [Insight-users] Multi-Spectral segmentation
>  >
>  >
>  >
>  > Hi Tom,
>  >
>  > For running K-Means on a multi-spectral image you may want to use:
>  >
>  > 
> http://www.itk.org/Insight/Doxygen/html/classitk_1_1ImageKmeansModelEstimator.html
>  >
>  >
>  > Regards,
>  >
>  >
>  > Luis
>  >
>  >
>  > ---------------
>  > Tom Nash wrote:
>  > > Hi Luis
>  > >
>  > > Thank you for letting me know. I am Thinking to first segment a single
>  > > MRI using K-means and later try multi-spectral segmentation on the 
> other
>  > > slices. Any pointers for k-means other than the K-means classification
>  > > example given in the guide?
>  > >
>  > > Regards
>  > > Tom Nash
>  > >
>  > > > Date: Sun, 14 Sep 2008 10:50:48 -0400
>  > > > From: luis.ibanez at kitware.com
>  > > > To: tomnash1 at hotmail.com
>  > > > CC: insight-users at itk.org
>  > > > Subject: Re: [Insight-users] Multi-Spectral segmentation
>  > > >
>  > > >
>  > > > Hi Tom,
>  > > >
>  > > > You may want to explore the following:
>  > > >
>  > > > 1) Region Growing with based on Mahalanobis distance.
>  > > >
>  > > 
> http://www.itk.org/Insight/Doxygen/html/classitk_1_1VectorConfidenceConnectedImageFilter.html
>  > > >
>  > > >
>  > > > 2) Statistical classifiers
>  > > >
>  > > > See examples in
>  > > >
>  > > > Insight/Examples/Statistics
>  > > >
>  > > >
>  > > >
>  > > > Regards,
>  > > >
>  > > >
>  > > > Luis
>  > > >
>  > > >
>  > > > --------------
>  > > > Tom Nash wrote:
>  > > > > Hi all
>  > > > >
>  > > > > I wish to implement a multi-spectral segmentation of Brain 
> MRIs. Any
>  > > > > pointers on how to go about doing doing it? I am familiar with 2D
>  > > > > segmentations using thresholding and region growing techniques. 
> I am
>  > > > > planning to use ITK wrapped with Python for this. Do I need 
> ITK-SNAP?
>  > > > >
>  > > > > Regards
>  > > > > Tom
>  > > > >
>  > > > > _______________________________________________
>  > > > > Insight-users mailing list
>  > > > > Insight-users at itk.org
>  > > > > http://www.itk.org/mailman/listinfo/insight-users
>  > >
>  > > 
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