[Insight-users] Segmenting Visible Human Data : RGB ConfidenceConnected : VectorThresholdSegmentationLevelSetImageFilter added.

[Stefan Lindenau]

Hi Luis,

I found some new problems. The formula in 
itkVectorThresholdSegmentationLevelSetFunction is not displayed in the 
Doxygen output. I think that is due to the /f$ tag that is not used 
properly.

A more severe problem is that due to bug *#430* the ImageFilter is not 
usable, because the Covariance of the MahalanobisDistance is initialized 
to a zero matrix in the constructor of the 
itkVectorThresholdSegmentationLevelSetFunction and the bug makes it 
impossible to change the covariance matrix properly.

Thanks
Stefan



Luis Ibanez wrote:

>
> Hi Stefan,
>
> You are right,
> The \class tag for Doxygen wasn't using the right class name.
>
> This has been fixed now, but the result will not show up on the
> Doxygen online documentation until tomorrow, after being
> regenerated overnight.
>
> We also added credits for the contribution of the classes.
>
>
> Please let us know if you find any other problem,
>
>
> Thanks
>
>
>   Luis
>
>
> -------------------------------
> Stefan Lindenau wrote:
>
>> Hi Luis,
>>
>> the Doxygen documentation is not containing the Class summary. Maybe 
>> this is due to a wrong class tag.
>>
>> Thank you for your comprehensive answer for the Mahalanobis distance
>>
>> Stefan
>>
>> Luis Ibanez wrote:
>>
>>>
>>> Hi Stefan,
>>>
>>> Thanks a lot for contributing these classes to ITK.
>>>
>>> They have been commited in the repository:
>>>
>>> http://www . itk . org/Insight/Doxygen/html/classitk_1_1VectorThresholdSegmentationLevelSetFunction . html 
>>>
>>> http://www . itk . org/Insight/Doxygen/html/classitk_1_1VectorThresholdSegmentationLevelSetImageFilter . html 
>>>
>>>
>>> You will find the new files under
>>>
>>>   Insight/Code/Algorithms
>>>
>>> A test has been added under
>>>
>>>   Insight/Testing/Code/Algorithms
>>>     itkVectorThresholdSegmentationLevelSetImageFilterTest.cxx
>>>
>>> Please let us know if you find any problems
>>> with these classes.
>>>
>>>
>>> ---
>>>
>>>
>>> About your question regarding the Mahalanobis distance:
>>>
>>> In the VectorConfidenceConnected class we are also using
>>> the square root of the distance returned by the class 
>>> tk::Statistics::MahalanobisDistanceMembershipFunction
>>> http://www . itk . org/Insight/Doxygen/html/classitk_1_1Statistics_1_1MahalanobisDistanceMembershipFunction . html 
>>>
>>>
>>> since in this class the returned value of distance
>>> is computed as a quadratic expression. By taking the
>>> square root it is easier to assign threshold values
>>> by reasoning on the linear scale of the pixel values.
>>> (or its vector components).
>>>
>>>
>>>
>>> Thanks a lot for your contribution to ITK !
>>>
>>>
>>>    Luis
>>>
>>>
>
>
>
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