DETECTION OF THE CORNER STRUCTURES IN 3D ARRAYS USING SCALABLE MASKS
Kazantsev I.G. Mukhametzhanova B.O. Iskakov K.T.
2021Sobolev Institute of Mathematics
Siberian Electronic Mathematical Reports
2021#1861 - 71 pp.
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.
corner detection , image processing , scalable mask , sliding window
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Institute of Computational Mathematics and Mathematical Geophysics, 6, Akademic Lavrentiev ave., Novosibirsk, 630090, Russian Federation
L.N. Gumilyov Eurasian National University, 2, Satpayev str., Nur-Sultan, 010008, Kazakhstan
L. N. Gumilyov Eurasian National University, 2, Satpayev str., Nur-Sultan, 010008, Kazakhstan
Institute of Computational Mathematics and Mathematical Geophysics
L.N. Gumilyov Eurasian National University
L. N. Gumilyov Eurasian National University
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