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

[Luis Ibanez]

Hi Stefan,


1) Bug #430 has been fixed and closed.
    The "valid inverse covariance" flag was removed.

    Now the inverse is computed whenever the covariance
    matrix is set.

    Conversely the covariance matrix is computed whenever
    the inverse matrix is explicitly set.


2) The Doxyge/Latex equations in
    itkVectorThresholdSegmentationLevelSetFunction

    Have been fixed too. The delimiter symbol should be \f$



Please let us know if you find any other issues,


Thanks


     Luis


------------------------
Stefan Lindenau wrote:
> 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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> 
> 
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