[Insight-developers] VectorConnectedComponent filter?

[Bill Lorensen]

I believe it was originally used to segment hessian images. If I
recall we used it for lung nodule detection and possibly explosive
detection in CT-ed baggage.


On Wed, Dec 28, 2011 at 8:55 AM, David Doria <daviddoria at gmail.com> wrote:
> On Wed, Dec 28, 2011 at 8:33 AM, Bradley Lowekamp <blowekamp at mail.nih.gov>
> wrote:
>>
>> Hello,
>>
>> I am have wrapped the VectorConnectdComponentImageFilter for SimpleITK.
>> However, I am unable to figure how this filter would be useful and what a
>> good example test would be for it. Here is the doxygen page:
>>
>>
>> http://www.itk.org/Doxygen/html/classitk_1_1VectorConnectedComponentImageFilter.html
>>
>> This filter expect the input vector's of the image to be normalize. Then
>> it compare neighboring pixel by computing 1-v1 dot v2. I am just wondering
>> what the use case is for this filter. Perhaps some diffusion images? And if
>> some one has a good test image for input to this filter?
>
>
> I'm sure this was not the intended use (since it is non-medical) but this
> filter could be used for surface segmentation of a depth image. I could make
> an image of the normals of a view (3 sides) of a cube to use for testing if
> you don't come up with a different usage.
>
>>
>> Related to this filter requiring normalized vector's in the input image.
>> We don't have a filter to normalize the vectors in an image. This should be
>> simple enough to do with a functor based filter. Just wondering if other
>> people think this is an needed missing filter, because it makes generating a
>> synthetic input image for this filter rather tedious.
>
>
> Yes, I would use this addition. I have a NormalizeVectorImage function in my
> Helpers namespace that I use all the time.
>
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