Metrical evaluation of spatial content for segmentation­based image retrieval

Kagramanyan, A.; Mashtalir, V.; Shlyakhov, V.

Публікація:
Metrical evaluation of spatial content for segmentationbased image retrieval

dc.contributor.author	Kagramanyan, A.
dc.contributor.author	Mashtalir, V.
dc.contributor.author	Shlyakhov, V.
dc.date.accessioned	2018-07-09T11:13:07Z
dc.date.available	2018-07-09T11:13:07Z
dc.date.issued	2014
dc.description.abstract	Interest in the image content analysis has been motivated by expansion of imaging in manifold scopes of activity, the availability of large image libraries, growth of multimedia applications, etc. One of the ways for partial elimination of a semantic gap between low-level visual features and high-level human concept is to analyze spatial properties of image parts specifically induced by segmentation. To provide a region-based image retrieval with a query ‘ad exemplum’ (to wide extent), a new metric to compare arbitrary nested partitions is proposed. Studied metrical properties of partially ordered quotient sets provide e.g. the objects search independent on the background.	uk_UA
dc.identifier.citation	Kagramanyan A. Metrical evaluation of spatial content for segmentationbased image retrieval / A. Kagramanyan, V. Mashtalir, V. Shlyakhov // Прикладная радиоэлектроника : науч.-техн. журн. – Х. : ХНУРЭ, 2014. – Т. 13, № 4 – С. 436–439.	uk_UA
dc.identifier.uri	http://openarchive.nure.ua/handle/document/6499
dc.language.iso	en	uk_UA
dc.publisher	ХНУРЭ	uk_UA
dc.subject	image segmentation	uk_UA
dc.subject	metric	uk_UA
dc.subject	nested partitions	uk_UA
dc.title	Metrical evaluation of spatial content for segmentationbased image retrieval	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication