[Insight-users] Any advice on which adv. segmentation filter to use here?

Roman Grothausmann roman.grothausmann at helmholtz-berlin.de
Wed Oct 28 11:08:19 EDT 2009


Hello Kishore,

Kishore Mosaliganti wrote:
> Hi,
> 
> Your link needs a password.
user: pubu; pass: pp09

> Are you interested in separating the foreground from the background or
> delineating each componet from the other.

I would like to get a binary representation of the carbon support (as 
the foreground) for further analysis.

Is there any way to get a better representation than the one from the 
global threshold?

Thanks for looking into this.
Roman

> On Wed, Oct 28, 2009 at 7:30 AM, Roman Grothausmann
> <roman.grothausmann at helmholtz-berlin.de> wrote:
>> Dear mailing list members,
>>
>>
>> I've read about FC, MRF and all those fancy hybrid segmentation filters
>> described in "Insight into Images" but still I've hard times seeing
>> which segmentation filter would be best for my tomogram problem.
>> Here's a slice (user: pubu; pas: pp09):
>> http://www.helmholtz-berlin.de/files/roman.grothausmann/pub/
>> zs_1350x950x660_xz_272_03.png shows an overall threshold that is giving
>> a clue of what part I want. It's the carbon support for the small white
>> particles. I think for humans its much easier to see
>> (zs_1350x950x660_xz_272_01.png) because we can recognise the pattern
>> that makes up the carbon support. Is there some segmentation technique
>> based on pattern recognition available in ITK? Granulometry sounds
>> promising but I couldn't find a filter doing that.
>>
>> Any help is very much appreciated
>> Roman
>>
>>
>> --
>> Roman Grothausmann
>>
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