[Insight-users] Segmentation based on discrete points
Xuan Zhao
xuanaux at gmail.com
Sun Nov 15 13:47:49 EST 2009
Hi, Kishore
Thanks so much for the comments. I just wonder is the fast marching filter
can be applied to the point set? Or I need to transform points into binary
image first? I will look into the fast marching stuff of which I do not have
a clear understand yet.
Thanks,
Xuan
Kishore Mosaliganti wrote:
>
> Hi Xuan,
>
> You can also compute the distance field of those set of point using
> fast marching in ITK. Each point is an input seed and the speed map is
> unity on the image grid.
>
> Then, in the resulting distance map output, do region growing or
> watershed.
>
> If there are small features, then you will lose them or will have to
> manually include them by specifying seeds in those regions
> iteratively.
>
> Kishore
>
>
>
> On Sun, Nov 15, 2009 at 10:38 AM, Luis Ibanez <luis.ibanez at kitware.com>
> wrote:
>> Hi Xuan,
>>
>> Do you have only the dense cloud or points ?
>>
>> or
>> do you have also a topological surface that connects these points ?
>> (e.g. polygonal faces defining the surface)
>>
>> ---
>>
>> If you only have the cloud of points, then, this is
>> an incompletely defined problem, and the best
>> you can hope to get is a "reasonable" partition
>> of space, but it will be impossible to guarantee
>> that a correct segmentation can be constructed.
>>
>> ---
>>
>> Along the lines of "imperfect" but plausible methods:
>>
>> One option that you may want to explore is to use
>> to dense set of points to turn on pixels in an underlying
>> image. If the cloud is dense enough, you may get lucky
>> and be able to create a closed surface of pixels.
>>
>> If you get there, then partitioning the space will be
>> as simple as using the connected components filter
>> in ITK, or if you don't mind providing a seed point,
>> you could use the region growing filters.
>>
>>
>> Regards,
>>
>>
>> Luis
>>
>>
>> -------------------------------------------------------------------------
>> On Fri, Nov 13, 2009 at 12:27 PM, Xuan Zhao <xuanaux at gmail.com> wrote:
>>>
>>> Dear all,
>>>
>>> Is there a filter in ITK to do segmentation based on discrete points
>>> that
>>> specify the surface of a volume of interest(VOI)? Or in other word, is
>>> there
>>> a function in ITK that can discriminate whether a point is inside or
>>> outside
>>> the surface determined by densely distributed discrete points?
>>>
>>> Thank you in advance,
>>>
>>> Xuan
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