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Detection of the corner structures in 3D arrays using scalable masks

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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


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