[ITK-users] Finding 4 neighbors of a label object‏

[Niels Gerkien]

Thank you very much Brad!!

Subject: Re: [ITK-users] Finding 4 neighbors of a label object‏
From: blowekamp at mail.nih.gov
Date: Wed, 21 May 2014 08:12:41 -0400
CC: insight-users at itk.org
To: nielsgerkien80 at outlook.com

Hello,
I would look into using the BinaryDilateImageFilter[1] and the BinaryErodeImageFilter[2] with a Cross Flat structuring element[3].
And then there is the BinaryMorphologicalOpeningImageFilter[4] which could be used to remove these unwanted voxel.
I'd recommend trying to uses the filters in an interactive environment such an SimpleITK with ipython to explore the parameters and understand what they do.
Hope that helps,Brad
[1] http://www.itk.org/Doxygen/html/classitk_1_1BinaryDilateImageFilter.html[2] http://www.itk.org/Doxygen/html/classitk_1_1BinaryErodeImageFilter.html[3] http://www.itk.org/Doxygen/html/classitk_1_1FlatStructuringElement.html[4] http://www.itk.org/Doxygen/html/classitk_1_1BinaryMorphologicalOpeningImageFilter.html
On May 21, 2014, at 8:01 AM, Niels Gerkien <nielsgerkien80 at outlook.com> wrote:Hello everybody,
I would need your help on one thing. I have a 3D binary image coming from a binary thresholding. Now, considering the set of four-connected voxels, I need to find all the voxels that do not belong to these sets, but are 4-neighbors of a voxel belonging to this set. I also need to do it for different images obtained using different thresholds in the binary thresholding. Do you know if there is a fast way to do so? I tried creating a label map and then looking for all the voxels that do not belong to a label object and are next to a label voxel, but it takes a really long time. Especially for thresholds that give me many label objects.
I really appreciate your help!!
Niels_____________________________________
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