search

seung-lab / euclidean-distance-transform-3d

Euclidean distance & signed distance transform for multi-label 3D anisotropic images using marching parabolas.
GNU General Public License v3.0
234 stars 37 forks source link

EDT 3D can be much quicker #51

Closed pavlo-hilei closed 6 months ago

pavlo-hilei commented 6 months ago

I have noticed that parallelization implementation for three-dimensional EDT is not implemented efficiently and can be significantly accelerated. Please check PR https://github.com/seung-lab/euclidean-distance-transform-3d/pull/50

william-silversmith commented 6 months ago

This is pretty interesting. I'll take a closer look when I have some time this week. Thank you for the contribution!

Will

On Sat, Feb 17, 2024, 3:20 PM pavlo-hilei @.***> wrote:

Closed #51 https://github.com/seung-lab/euclidean-distance-transform-3d/issues/51 as completed.

— Reply to this email directly, view it on GitHub https://github.com/seung-lab/euclidean-distance-transform-3d/issues/51#event-11837185552, or unsubscribe https://github.com/notifications/unsubscribe-auth/AATGQSMS2ADOJIKT5CVWWB3YUEGIJAVCNFSM6AAAAABDNRZCLWVHI2DSMVQWIX3LMV45UABCJFZXG5LFIV3GK3TUJZXXI2LGNFRWC5DJN5XDWMJRHAZTOMJYGU2TKMQ . You are receiving this because you are subscribed to this thread.Message ID: <seung-lab/euclidean-distance-transform-3d/issue/51/issue_event/11837185552 @github.com>