[Insight-users] Segmentation based on discrete points

[Kishore Mosaliganti]

Hi Xuan,

No need to create to a binary image. Just use your point samples  as
seed points. The Examples folder with FastMarching code shows the
setting for 1 seed. You need to put a for loop and insert all your
points as seeds.

Kishore

On Sun, Nov 15, 2009 at 1:47 PM, Xuan Zhao <xuanaux at gmail.com> wrote:
>
> 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
>>>> --
>>>> View this message in context:
>>>> http://old.nabble.com/Segmentation-based-on-discrete-points-tp26331613p26331613.html
>>>> Sent from the ITK - Users mailing list archive at Nabble.com.
>>>>
>>>> _____________________________________
>>>> Powered by www.kitware.com
>>>>
>>>> Visit other Kitware open-source projects at
>>>> http://www.kitware.com/opensource/opensource.html
>>>>
>>>> Kitware offers ITK Training Courses, for more information visit:
>>>> http://www.kitware.com/products/protraining.html
>>>>
>>>> Please keep messages on-topic and check the ITK FAQ at:
>>>> http://www.itk.org/Wiki/ITK_FAQ
>>>>
>>>> Follow this link to subscribe/unsubscribe:
>>>> http://www.itk.org/mailman/listinfo/insight-users
>>>>
>>> _____________________________________
>>> Powered by www.kitware.com
>>>
>>> Visit other Kitware open-source projects at
>>> http://www.kitware.com/opensource/opensource.html
>>>
>>> Kitware offers ITK Training Courses, for more information visit:
>>> http://www.kitware.com/products/protraining.html
>>>
>>> Please keep messages on-topic and check the ITK FAQ at:
>>> http://www.itk.org/Wiki/ITK_FAQ
>>>
>>> Follow this link to subscribe/unsubscribe:
>>> http://www.itk.org/mailman/listinfo/insight-users
>>>
>> _____________________________________
>> Powered by www.kitware.com
>>
>> Visit other Kitware open-source projects at
>> http://www.kitware.com/opensource/opensource.html
>>
>> Kitware offers ITK Training Courses, for more information visit:
>> http://www.kitware.com/products/protraining.html
>>
>> Please keep messages on-topic and check the ITK FAQ at:
>> http://www.itk.org/Wiki/ITK_FAQ
>>
>> Follow this link to subscribe/unsubscribe:
>> http://www.itk.org/mailman/listinfo/insight-users
>>
>>
>
> --
> View this message in context: http://old.nabble.com/Segmentation-based-on-discrete-points-tp26331613p26361961.html
> Sent from the ITK - Users mailing list archive at Nabble.com.
>
> _____________________________________
> Powered by www.kitware.com
>
> Visit other Kitware open-source projects at
> http://www.kitware.com/opensource/opensource.html
>
> Kitware offers ITK Training Courses, for more information visit:
> http://www.kitware.com/products/protraining.html
>
> Please keep messages on-topic and check the ITK FAQ at:
> http://www.itk.org/Wiki/ITK_FAQ
>
> Follow this link to subscribe/unsubscribe:
> http://www.itk.org/mailman/listinfo/insight-users
>