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Corner Detection Based on Scalable Masks

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dc.contributor.authorKazantsev, I. G.
dc.contributor.authorMukhametzhanova, B. O.
dc.contributor.authorYu, S. O.
dc.contributor.authorСуворовский, Олег Юрьевич
dc.date.accessioned2024-11-29T20:17:16Z
dc.date.available2024-11-29T20:17:16Z
dc.date.issued2021
dc.description.abstract© 2021 IEEE.Scalable masks for the selection of angular structures in two-dimensional (2D) digital images are considered. The mask is a 2D window sliding over the image and convolved with image fragments. We propose the model of a scalable 2D mask based on expanding smaller mask along its sides and edges. In this case, the submatrices remain unchanged, and the generation of new elements consists in repeating the elements of the submatrix, preserving the structure of the corner. Numerical experiments with test images are performed.
dc.identifier.citationKazantsev, I. G. Corner Detection Based on Scalable Masks / Kazantsev, I.G., Mukhametzhanova, B.O., Yu, S.O. // SIST 2021 - 2021 IEEE International Conference on Smart Information Systems and Technologies. - 2021. - 10.1109/SIST50301.2021.9465940
dc.identifier.doi10.1109/SIST50301.2021.9465940
dc.identifier.urihttps://www.doi.org/10.1109/SIST50301.2021.9465940
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85113886984&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/24677
dc.relation.ispartofSIST 2021 - 2021 IEEE International Conference on Smart Information Systems and Technologies
dc.titleCorner Detection Based on Scalable Masks
dc.typeConference Paper
dspace.entity.typePublication
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