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

[Bill Lorensen]

But, I do think the label map tools might help find sphere... So if
the blobs are spheres, then may the title is  OK. The ShapeAttributes
example could be a start to detect spherical shapes.

On Wed, Dec 18, 2013 at 3:50 PM, Bill Lorensen <bill.lorensen at gmail.com> wrote:
> I think the section title is a bit overzealous...
>
>
> On Wed, Dec 18, 2013 at 12:01 PM, Bradley Lowekamp <brad at lowekamp.net> wrote:
>> Bill,
>>
>> What is there (example/filter) that you would consider "Blob detection"?
>>
>> Brad
>>
>> On Dec 18, 2013, at 11:50 AM, Bill Lorensen <bill.lorensen at gmail.com> wrote:
>>
>>> 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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