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

[Nicolas Gallego]

Hi Neils,

Some ideas, I would start from this class that seams to take a label map
and the gray level images to compute the statistics you need [1]
Otherwise a generic statistics filter[2], but you should provide it the
masked regions I guess
[1]
http://www.itk.org/Doxygen45/html/classitk_1_1StatisticsLabelMapFilter.html
[2] http://www.itk.org/Doxygen45/html/classitk_1_1StatisticsImageFilter.html


Nicolás Gallego-Ortiz
Université catholique de Louvain, Belgium


2014-05-22 15:24 GMT+02:00 Niels Gerkien <nielsgerkien80 at outlook.com>:

> Hi guys,
>
> I managed to get the 4-neighbors pixels following Bradley tips, using
> a BinaryDilateImageFilter with a cross structuring element and subtracting
> the binary image from the image resulting from the dilation. Now I would
> need your help for another task. Now that I know where my different sets of
> 4-neighbors and their contours are, I need to extract the minimum intensity
> value of each contours and the mean value of each set from the original
> image. What is the best way to do so? Sorry for all these questions, but I
> just started studying these things!!
>
> Thanks a lot,
> Niels
>
> ------------------------------
> From: nielsgerkien80 at outlook.com
> To: blowekamp at mail.nih.gov
> Date: Wed, 21 May 2014 16:18:33 +0000
> CC: insight-users at itk.org
>
> Subject: Re: [ITK-users] Finding 4 neighbors of a label object‏
>
> 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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