Segmentation of regions of interest on locally homogeneous scenes

dc.contributor.author	Fofanov V.
dc.contributor.author	Zhiznevskii A.
dc.date.accessioned	2018-09-18T20:14:14Z
dc.date.available	2018-09-18T20:14:14Z
dc.date.issued	2012
dc.identifier.issn	1054-6618
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/137828
dc.description.abstract	The possibilities of the segmentation of regions of interest on locally homogeneous scenes using some known methods are studied. The segmentation is considered a problem of classifying pixels of the region of interest into two classes and the segmentation quality is measured by the probability of misclassification. The results of the segmentation for scenes with different correlation radii and complexities, which is measured as the signal-to-noise ratio, are discussed. © 2012 Pleiades Publishing, Ltd.
dc.relation.ispartofseries	Pattern Recognition and Image Analysis
dc.subject	classification of pixels
dc.subject	image
dc.subject	locally homogeneous scenes
dc.subject	object search
dc.subject	region of interest
dc.subject	scene
dc.subject	scene segmentation
dc.title	Segmentation of regions of interest on locally homogeneous scenes
dc.type	Article
dc.relation.ispartofseries-issue	2
dc.relation.ispartofseries-volume	22
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	257
dc.source.id	SCOPUS10546618-2012-22-2-SID84862244742

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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.