[Insight-developers] Detect holes in binary images
Bradley Lowekamp
blowekamp at mail.nih.gov
Fri Feb 7 09:27:33 EST 2014
Seems to work for me. Here is a little ipython notebook I create to demonstate:
http://nbviewer.ipython.org/url/erie.nlm.nih.gov/~blowek1/Notebooks/Detect_Holes.ipynb?create=1
You can find more information about SimpleITK here:
http://www.itk.org/Wiki/SimpleITK
And more SimpleITK Notebooks here:
http://simpleitk.github.io/SimpleITK-Notebooks/
On Feb 7, 2014, at 8:38 AM, elhadj meljane <elhadj.meljane at gmail.com> wrote:
> Hi Brad,
> I tried with a toy image, I get labels for the shapes and labels for
> the holes inside these shapes. How to select the labels that
> correspond only to the holes? Also, taken the image or the invert of
> the image didn't change the output of the connected components? Here's
> one of the toy image that I used with the output of the connected
> components.
>
> A =
> 00000000
> 00111100
> 00100100
> 00111100
> 00000000
>
> output =
> 00000000
> 00111100
> 00122100
> 00111100
> 00000000
>
>
> Thank you.
>
> Best,
>
>
> On Fri, Feb 7, 2014 at 8:00 AM, Bradley Lowekamp <blowekamp at mail.nih.gov> wrote:
>> Hello,
>>
>> Hole come in a variety of shapes sized and definitions. Depending on there exact morphological shape that you are interested in it may very how to detect them. ITK has a large number of morphological filter which can be used to.
>>
>> At a basic level to get you started, I'd suggest inverting you binary image, with the NotImageFilter. Then running ConnectedComponentImageFilter, to give each isolated hole a unique label. Then the LabelStatisticsImageFilter to get basic size and shape information.
>>
>> If additional morphological filtering is needed I'd recommend try out SimpleITK in Python, so that a large number of filters can be played with to get the desired filtered effect.
>>
>> Hope that helps,
>> Brad
>>
>> On Feb 7, 2014, at 7:32 AM, elhadj meljane <elhadj.meljane at gmail.com> wrote:
>>
>>> Hi all,
>>> I would appreciate suggestions to detect holes in binary images. The
>>> holes are of different sizes (small medium). I am not looking to fill
>>> these holes but just to detect their locations.
>>>
>>> Thank you.
>>>
>>> Best,
>>> Elhadj
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