This is an interesting question. Can you try to use grid_points_in_poly() for each slice of 3D. It may be slower. I think there is a mathematical extension on this. But I do not know the actual formula.
Li Chen www.udc.edu/prof/chen Does anyone know SciKit work with Spark (Python version)? On Tue, Oct 18, 2016 at 1:57 PM, Slavin, Jonathan <jsla...@cfa.harvard.edu> wrote: > Hi all, > > I'm wondering if there is some routine that will do in 3D what > grid_points_in_poly() does in 2D. That is, I'd like to use the results of > a call to marching_cubes(), i.e. an array of verts, and determine which > grid points in the input volume that was provided as input to > marching_cubes are inside of the surface defined by those verts. Any help > would be appreciated. > > Regards, > Jon > > -- > ________________________________________________________ > Jonathan D. Slavin Harvard-Smithsonian CfA > jsla...@cfa.harvard.edu 60 Garden Street, MS 83 > phone: (617) 496-7981 Cambridge, MA 02138-1516 > cell: (781) 363-0035 USA > ________________________________________________________ > > > _______________________________________________ > scikit-image mailing list > scikit-image@python.org > https://mail.python.org/mailman/listinfo/scikit-image > >
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