dolfin team mailing list archive

[Harish Narayanan <harish.mlists@xxxxxxxxx>]

A Navaei wrote:
> 2009/2/24 Harish Narayanan <harish.mlists@xxxxxxxxx>:
>> A Navaei wrote:
>>> Finally after all those long discussions on the best way of
>>> architecturing variational image processing problems based on dolfin,
>>> a minimal demo showing how to solve a classical motion estimation PDE
>>> is available now -- thanks for all the support. Detailed explanation
>>> is given here:
>>>
>>> http://code.google.com/p/debiosee/wiki/DemosOptiocFlowHornSchunck
>> Looks interesting. Are there plans to (or is it straightforward to)
>> extend this to other functionals to process the image in other ways?
>> (e.g. Edge detection and selective smoothening/sharpening.)
> 
> Both of the good points that you mentioned are part of the main goals
> of Debiosee. The project was created with the idea of implementing a
> comprehensive set of variational algorithms with applications in image
> processing. Anyone interested in such contribution is welcome to join.
> 
> Selecting fenics as the variational engine and itk as the image
> processing library, provides a rich combination of tools making it
> very likely that you would find the necessary requirement available if
> you want to solve a new problem. Moreover, since both libraries come
> with excellent rapid prototyping features, eg variational forms in
> dolfin or automated template wrapping in itk, developing will be fast
> and demands less programming skills. Variational image processing is a
> young since, paper [1] is a good introduction to some applications.

Cool. Then I will try some variational shape reconstruction stuff
(someday!).