[ITK-dev] HessianToObjectnessMeasureImageFilter in SimpleITK

[Paolo Zaffino]

Hi Brad,
do you have any examples of a composite filters?
What about instead of returning the final probability as scalar data 
(float/double)?

Thank you very much.
Best.

Paolo


On 02/11/2015 17:41, Bradley Lowekamp wrote:
> Hello Paolo,
>
> For many filters you are correct. You just need to write a json file which describes the filter's parameters and template parameters.
>
> For the HessianToObjectnessMeasureImageFilter there is the difficulty is that Hessian pixel types aren't currently implemented in SimpleITK.
>
> However this can be easily fixed by writing a little composite filter. A better interface for this operation is to have a scalar image as input, and the output be the feature measurement. This should be done as the composite filter which is wrapped.
>
> Contribution to SimpleITK are welcomed. Please let us know if you need any further guidance.
> Brad
>
>
> On Nov 2, 2015, at 9:30 AM, Paolo Zaffino <p.zaffino at yahoo.it> wrote:
>
>> Dear all,
>> I am interesting in having HessianToObjectnessMeasureImageFilter into SimpleITK.
>> As far as I know, it is not currently wrapped and for this reason I was thinking to do it by myself.
>>
>> I am not so expert, so please apologize me if I say something wrong.
>> Let's use HausdorffDistanceImageFilter as example.
>>
>> As far as I understood, the file "SimpleITK/Code/BasicFilters/json/HausdorffDistanceImageFilter.json" contains all the wrapping stuff.
>> My question is: do I have just to write something like that file for the HessianToObjectnessMeasureImageFilter, or something more is needed?
>>
>> Thank you very much.
>> Best regards.
>>
>> Paolo
>>
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