[ITK-users] itk Canny segmentation level set on 3d data

[Matt McCormick]

Hi reks,

The parameters will likely need tweaking.  To understand how the
change the parameters, look at the documentation for the filters and
the parameters and the intermediate images that are generated. The
documentation can be found in The Software Guide [1], the example code
that is used to generate the Software Guide [2], and the Doxygen for
classes [3].

As suggested in the Software Guide, you may want to pre-process your
input image also to remove noise.

HTH,
Matt

[1] http://itk.org/ITK/resources/software.html

[2] http://www.itk.org/Doxygen/html/Examples_2Segmentation_2CannySegmentationLevelSetImageFilter_8cxx-example.html

[3] http://www.itk.org/Doxygen/html/classitk_1_1CannySegmentationLevelSetImageFilter.html

On Mon, Jan 12, 2015 at 2:42 AM, reks <rekha.pyage at gmail.com> wrote:
> Hi all,
>
> I am trying to make use of itkCannySegmentationLevelSet 2d example on 3d
> data. Here I am giving the output of thresholdsegmentationlevelset as one of
> the input to the filter and input image as the feature input. I am giving
> The parameters to this filter as given in 2d example( canny threshold=7.0,
> CannyVariance= 0.1 ,AdvectionScaling=10.0,IsoSurfaceValue=
> 127.5,NumberOfIterations= 15) but I am not getting the expected output. I am
> getting thresholdsegmentationlevelset output as it is as the cannylevelset
> output. do I have to change the parameters to this filter ? I dont know
> where I am going wrong. please do help me..
>
> any help will be appreciated.
> thanks in advance.
>
> reks
>
>
>
>
>
>
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