Detecting the Most Unusual Part of a Digital Image

Simple item page
dc.creatorKoroutchev, K.
dc.creatorKorutcheva, E.
dc.date2008-10-19
dc.date.accessioned2026-07-07T10:11:37Z
dc.date.available2026-07-07T10:11:37Z
dc.descriptionThe purpose of this paper is to introduce an algorithm that can detect the most unusual part of a digital image. The most unusual part of a given shape is defined as a part of the image that has the maximal distance to all non intersecting shapes with the same form. The method can be used to scan image databases with no clear model of the interesting part or large image databases, as for example medical databases.
dc.identifierhttps://arxiv.org/abs/0810.3418
dc.identifierhttp://arxiv.org/abs/0810.3418
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/171918
dc.subjectComputer Vision and Pattern Recognition
dc.subjectGraphics
dc.titleDetecting the Most Unusual Part of a Digital Image
dc.typetext

Files

Collections

arXiv