Open GoogleCodeExporter opened 9 years ago
Is your input a .inr.gz file?
I haven't ported yet the CGAL::Labeled_image_mesh_domain_3 class but it can be
done quickly.
Poisson reconstruction has not yet been wrapped either.
Original comment by sloriot...@gmail.com
on 16 Jan 2014 at 6:35
My image its not a .inr.gz but it could be converted easily. Whats the best
solution ? its dificult to add the methods needed to do that?, the algorithm
its very important for the analysis of medical images. The Poisson algorithm
its also very important to do a 3d Mesh from point clouds.
If you could do something it would be awesome.
Thank you in advance for your support.
Original comment by cncasti...@uc.cl
on 16 Jan 2014 at 8:34
Dear Sloriot, I have a medical image that I would like to mesh with CGAL via your python interface. Would it be possible for you to port CGAL::Labeled_image_mesh_domain_3? There are a few people in my lab that would love to do the same thing. Cheers Gabriel
I want to add that the Python bindings should probably be updated to the new API of labeled mesh domain, since CGAL-4.13.
I also stumbled over this: I want to replicate the gray level image surface mesh example in python, however it is hard to load images with CGAL directly - except you already have them in inr format. But it is very easy to use other libraries like (Simple)ITK or somehow convert the 3D image data into a numpy array and store voxel spacing, origin, ... separately. Most of the time (at least for me) I already have the image loaded elsewhere and just want to do some additional tasks with CGAL. Therefore, some function to convert an array to an Image_3 class would be super useful!
Original issue reported on code.google.com by
cncasti...@uc.cl
on 15 Jan 2014 at 11:23