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

[Luis Ibanez]

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
>>
>>