On Tue, Jun 14, 2011 at 6:30 PM, Gael Varoquaux <[email protected]> wrote: > On Tue, Jun 14, 2011 at 10:29:38AM -0300, Thiago Franco Moraes wrote: >> I don't know if I understand. The idea is to use _make_edges_3d to >> give me the connectivity, isn't it? Like for example, a 3x3 image: > >> 0, 1, 2 >> 3, 4, 5 >> 6, 7, 8 > >> If I use _make_edges_3d(3, 3) I get: > >> array([[0, 1, 3, 4, 6, 7, 0, 1, 2, 3, 4, 5], >> [1, 2, 4, 5, 7, 8, 3, 4, 5, 6, 7, 8]]) > >> So, for example, the pixel 4 is connected with 3, 5, 7 and 1 >> (connectivity 4). Is it? > > Yes, you go the idea. > >> The problem is I need to work with connectivity 26 in 3D images, or 8 >> in 2D images. I'm not able to understand the code so well to apply to >> those connectivity I said (8 and 26). > > The code is for 4 connectivity (or 6 in 3D). You will need to modify the > _make_edges_3d function to get the connectivity you want. Hopefully this > will get the ball running, and by looking at the code you will figure out > how to modify it. > > HTH, > > Gaël
Thanks Gaël. To resolve my problem I'm using mahotas.labeled.borders which was proposed by Luis. However, the ideas from _make_edges_3d can be useful to me in other problems I'm having. Thanks again. _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
