[ITK] Canny edge detection filter results
Dženan Zukić
dzenanz at gmail.com
Mon Jan 18 16:26:44 EST 2016
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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