Classification of images based on distance assessment

Публікація:
Classification of images based on distance assessment

dc.contributor.author	Gorokhovatskyi, V.
dc.contributor.author	Gadetska, S.
dc.contributor.author	Stiahlyk, N.
dc.date.accessioned	2024-12-22T20:36:04Z
dc.date.available	2024-12-22T20:36:04Z
dc.date.issued	2024
dc.description.abstract	A method of image classification based on the estimation of the distance to the etalon class is proposed. The introduction of estimates provides a significant gain in classification speed compared to linear search while maintaining a decent level of accuracy. The methodology is based on the use of the triangle inequality for images given by a set of binary vectors - descriptors of the key points of the image.
dc.identifier.citation	Gorokhovatskyi V. Classification of images based on distance assessment / V. Gorokhovatskyi, S. Gadetska, N. Stiahlyk // Information Technology and Implementation (Satellite) : Conference Proceedings, November 21, 2024. – Kyiv : Publishing House «Caravela». – P. 22-24.
dc.identifier.uri	https://openarchive.nure.ua/handle/document/29478
dc.language.iso	en_US
dc.publisher	Publishing House «Caravela»
dc.subject	classification of images
dc.subject	keypoint descriptor
dc.subject	speed of classification
dc.title	Classification of images based on distance assessment
dc.type	Conference proceedings
dspace.entity.type	Publication