[ITK Community] [Insight-users] Automatically finding spheres in 3D images

[Bill Lorensen]

David,

This section in the ITK Wiki Examples:

Blob Detection, Labeling, and Properties
http://itk.org/Wiki/ITK/Examples#Blob_Detection.2C_Labeling.2C_and_Properties
may be useful. In particular: ShapeAttributes
http://itk.org/Wiki/ITK/Examples/ImageProcessing/ShapeAttributes
runs connected components on a binary image, converts it to a LabelMap
and prints lots of statistics. The Elongation parameter is the  ratio
of the largest principal moment to the second largest principal
moment. Its value is greater or equal to 1.

On Wed, Dec 18, 2013 at 10:18 AM, Bill Lorensen <bill.lorensen at gmail.com> wrote:
> If you already have segmented the objects, look at Filtering/LabelMap.
> Look at the test: LabelMap/test/itkShapeLabelObjectAccessorsTest1.cxx
>
>
>
> On Wed, Dec 18, 2013 at 9:10 AM, Bradley Lowekamp <brad at lowekamp.net> wrote:
>> Ohh, yeah there are morphology techniques too.
>>
>> I believe the top-hat[1][2] filter can also be very useful for detecting dark/black spots smaller the the structuring element.
>>
>> [1] http://www.itk.org/Doxygen/html/classitk_1_1BlackTopHatImageFilter.html
>> [2] http://www.itk.org/Doxygen/html/classitk_1_1WhiteTopHatImageFilter.html
>>
>> On Dec 18, 2013, at 9:05 AM, Matt McCormick <matt.mccormick at kitware.com> wrote:
>>
>>> Hi Dave,
>>>
>>> Binary morphological opening [1] may work well.  See, for example [2].
>>>
>>> Hope this helps,
>>> Matt
>>>
>>> [1] http://itk.org/Doxygen/html/classitk_1_1BinaryMorphologicalOpeningImageFilter.html
>>> [2] http://homepages.inf.ed.ac.uk/rbf/HIPR2/open.htm
>>>
>>> On Wed, Dec 18, 2013 at 8:57 AM, David Cole <dlrdave at aol.com> wrote:
>>>>> Have you tried Hough transforms?
>>>>>
>>>>>
>>>> http://www.itk.org/Doxygen/html/classitk_1_1HoughTransform2DCirclesImageFilter.html
>>>>
>>>>
>>>> Not yet, but I will now, thanks very much!
>>>>
>>>>
>>>> D
>>>>
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>> Visit other Kitware open-source projects at
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>
>
> --
> Unpaid intern in BillsBasement at noware dot com



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