Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/15368
Title: | Repairing 3D Binary Images Using the FCC Grid | Authors: | Čomić, Lidija Magillo P. |
Issue Date: | 1-Nov-2019 | Journal: | Journal of Mathematical Imaging and Vision | Abstract: | © 2019, Springer Science+Business Media, LLC, part of Springer Nature. A 3D image I is well-composed if it does not contain critical edges or vertices (where the boundary of I is non-manifold). The process of transforming an image into a well composed one is called repairing. We propose to repair 3D images by associating the face-centered cubic grid (FCC grid) with the cubic grid. We show that the polyhedral complex in the FCC grid, obtained by our repairing algorithm, is well-composed and homotopy equivalent to the complex naturally associated with the given image I with edge-adjacency (18-adjacency). We illustrate an application on two tasks related to the repaired image: boundary reconstruction and computation of its Euler characteristic. | URI: | https://open.uns.ac.rs/handle/123456789/15368 | ISSN: | 9249907 | DOI: | 10.1007/s10851-019-00904-0 |
Appears in Collections: | FTN Publikacije/Publications |
Show full item record
SCOPUSTM
Citations
7
checked on May 6, 2023
Page view(s)
15
Last Week
5
5
Last month
0
0
checked on May 10, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.