[ITK] Canny edge detection filter results

[Joao Ascenso]

Thank you Dženan.

I did some oversampling between slices to solve the problem, with the
downside of making it much slower.



On 18 January 2016 at 21:26, Dženan Zukić <dzenanz at gmail.com> wrote:

> Hi Joao,
>
> if you are doing Canny filtering in 3D and then looking at 2D slices, the
> edges are usually not 1 pixel thick. This is because edge for 3D is a
> surface, and when you slice that surface along anatomical axes the surface
> will not be orthogonal to the slices in most places. Where surface is
> orthogonal, you get nice 1 pixel wide intersections. Where surface is
> parallel to the slice, you get a sizable intersection surface.
>
> Regards,
> Dženan
>
> On Mon, Jan 18, 2016 at 11:47 AM, Joao Ascenso <
> j.ascenso at campus.fct.unl.pt> wrote:
>
>> Hello,
>> I'm working on OCT images (DICOM volume) of the retina and trying to do
>> the segmentation of some layers.
>>
>> After doing some noise reduction I'm applying the
>> CannyEdgeDetectionImageFilter, but the result give me thicker edges than
>> should be expected from Canny.
>>
>> Changing thresholds influences the amount of edges detected but don't
>> improve this issue.
>>
>> Anyone have came across similar problem? Any suggestion is welcome.
>>
>> Thank you,
>>
>> João Ascenso
>>
>>
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>>
>


-- 
João Ascenso
Universidade Nova de Lisboa - Faculdade de Ciências e Tecnologias
Mestrado Integrado em Engenharia Electrotécnica e de Computadores
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