A generalization of segmentation methods of quantiles and modes to the case of several images

dc.contributor.author	Kuleev R.
dc.contributor.author	Fofanov V.
dc.date.accessioned	2018-09-18T20:14:12Z
dc.date.available	2018-09-18T20:14:12Z
dc.date.issued	2008
dc.identifier.issn	1054-6618
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/137823
dc.description.abstract	The problem of segmentation by several images is considered for fragments of a scene containing a given object and its neighborhood. To solve this problem, generalizations of the well-known methods of quantiles and modes are proposed that are constructed on the concept of random distance. The results of computer experiments on the segmentation of model and quasireal scenes by the methods proposed are compared. © 2008 Pleiades Publishing, Ltd.
dc.relation.ispartofseries	Pattern Recognition and Image Analysis
dc.title	A generalization of segmentation methods of quantiles and modes to the case of several images
dc.type	Article
dc.relation.ispartofseries-issue	4
dc.relation.ispartofseries-volume	18
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	666
dc.source.id	SCOPUS10546618-2008-18-4-SID57649202981

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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.