[Insight-users] Segmenting multiple objects with multiple algorithms on one dataset

[Ghassan Hamarneh]

Hello,

Perhaps the recently contributed
itkMultipleUnlabeledImagesToLabeledImageFilter is what you are looking
for: http://hdl.handle.net/1926/323  . I have not used it myself.

/Ghassan

On 10/23/06, Wagner Sales <wsalles2003 at yahoo.com.br> wrote:
> Hi all,
>
> First of all, may be this question sounds something
> like confuse by a wrong
> aproach ( wich are described below ). If that's true,
> please just tell me
> about the correct way.
>
> I have a dataset with multiple objects thats needs to
> be segmented. Each one
> of this objects needs a different segmentation aproach
> ( in other words,
> different algorithms will be used to perform the
> object segmentation ).
>
> The output of the first segmentation will be an object
> without any data about
> the others ( in other words, a processed dataset with
> only one object. Eg:
> skull). The second segmentation will start with the
> original dataset,
> following the same aproach.
>
> Well, after I was segmented all objects, I'll have a
> couple of "datasets",
> each one with an segmented object. But I want to put
> all the objects on the
> same dataset, each one with a different gray value (
> scalar value ).
>
> I'm following a correct aproach? If that's true, how
> to put all objects on the
> same dataset?
>
> Thank's in advance.
> Wagner Sales
>
>
>
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