[ITK-dev] HessianToObjectnessMeasureImageFilter in SimpleITK

[Bradley Lowekamp]

There is a book on it, now in freshly rendered HTML:

http://itk.org/ITKSoftwareGuide/html/Book1/ITKSoftwareGuide-Book1ch8.html

Brad

On Nov 2, 2015, at 11:50 AM, Paolo Zaffino <p.zaffino at yahoo.it> wrote:

> 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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>