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.zaff...@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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