Detection of the corner structures in images by scalable masks
| Autor: | T. Mirgalikyzy, B. O. Mukhametzhanova, I. G. Kazantsev, K. T. Iskakov |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
business.industry
Applied Mathematics Window (computing) Block matrix Robotics 02 engineering and technology Row and column spaces 01 natural sciences Industrial and Manufacturing Engineering Image (mathematics) 010101 applied mathematics Matrix (mathematics) Digital image 020303 mechanical engineering & transports 0203 mechanical engineering Scalability Hardware_INTEGRATEDCIRCUITS Computer vision Artificial intelligence 0101 mathematics business Mathematics |
| Zdroj: | Sibirskii zhurnal industrial'noi matematiki. 23:70-83 |
| ISSN: | 1560-7518 |
| DOI: | 10.33048/sibjim.2020.23.107 |
| Popis: | Under consideration are the scalable masks for detection of corner structures in digital images which are used when processing by a window sliding through an image. The proposed matrices of masks of arbitrary size are constructed by adding rows and columns along the perimeter to the matrix of smaller masks. The submatrices remain unchanged, whereas some new elements are added by repeating the submatrix entries that preserve the structure of the corner. The algorithm can be used in processing visual data of robotics, aerial photography, and crystallography. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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