Using orthogonal functions as a description transformation apparatus for image recognition of visual objects

Mieshkov, D. M.

Публікація:
Using orthogonal functions as a description transformation apparatus for image recognition of visual objects

dc.contributor.author	Mieshkov, D. M.
dc.date.accessioned	2024-06-19T14:34:31Z
dc.date.available	2024-06-19T14:34:31Z
dc.date.issued	2024
dc.description.abstract	Research on the construction of modifications for the space of classification features based on the application of the transformation of the structural description through the decomposition in the orthogonal basis and the implementation of the distance matrix model between the components of the description can be used to improve computer vision methods. Using orthogonal functions as a tool for transforming the description demonstrated the potential for achieving substantial improvements in processing speed while preserving high levels of classification accuracy and resistance to interference.
dc.identifier.citation	Mieshkov D. M. Using orthogonal functions as a description transformation apparatus for image recognition of visual objects / D. M. Mieshkov, Science Supervisor – PhD in Technical Sciences, Ac. Prof. Ie.S. Sakalo // Радіоелектроніка та молодь у ХХІ столітті : матеріали 28-го Міжнар. молод. форуму, 16-18 квітня 2024 р. – Харків: ХНУРЕ, 2024. – Т. 7. – С. 9–10.
dc.identifier.uri	https://openarchive.nure.ua/handle/document/27086
dc.language.iso	en_US
dc.publisher	ХНУРЕ
dc.subject	orthogonal basis
dc.subject	structural description
dc.title	Using orthogonal functions as a description transformation apparatus for image recognition of visual objects
dc.type	Conference proceedings
dspace.entity.type	Publication