dc.contributor.author |
Kazantsev, I. G. |
|
dc.contributor.author |
Mukhametzhanova, B. O. |
|
dc.contributor.author |
Iskakov, K. T. |
|
dc.date.accessioned |
2024-12-25T06:05:23Z |
|
dc.date.available |
2024-12-25T06:05:23Z |
|
dc.date.issued |
2021 |
|
dc.identifier.citation |
I. G. Kazantsev, B. O. Mukhametzhanova, K. T. Iskakov, Detection of the corner structures in 3D arrays using scalable masks, Sib. Elektron. Mat. Izv. ` , 2021, Volume 18, Issue 1, 61–71 DOI: https://doi.org/10.33048/semi.2020.18.006 |
ru |
dc.identifier.issn |
1813-3304 |
|
dc.identifier.other |
doi.org/10.33048/semi.2020.18.006 |
|
dc.identifier.uri |
http://rep.enu.kz/handle/enu/20343 |
|
dc.description.abstract |
Scalable masks for the selection of angular structures in
three-dimensional (3D) digital images are considered, which are used in
processing with a 3D window sliding over the image and convolved with
image fragments. The model of scalable 3D mask was developed based
on expanding smaller mask along its sides and edges. In this case, the
submatrices remain unchanged, and new elements are added by repeating
the elements of the submatrix, preserving the structure of the corner.
This approach helps to design the hierarchical computations of 3D data. |
ru |
dc.language.iso |
en |
ru |
dc.publisher |
Siberian Electronic Mathematical Reports |
ru |
dc.relation.ispartofseries |
Volume 18, Issue 1, 61–71; |
|
dc.subject |
image processing |
ru |
dc.subject |
sliding window |
ru |
dc.subject |
scalable mask |
ru |
dc.subject |
corner detection |
ru |
dc.title |
Detection of the corner structures in 3D arrays using scalable masks |
ru |
dc.type |
Article |
ru |