Multi-step segmentation of images by means of a recurrent neural network

Bibliographic Details
Parent link:	The 7th International Forum on Strategic Technology (IFOST-2012), September 18-21, 2012, Tomsk: [proceedings]/ National Research Tomsk Polytechnic University (TPU). [4 p.].— , 2012
Main Author:	Nemirovskiy V. B. Viktor Borisovich
Corporate Author:	Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра информатики и проектирования систем (ИПС)
Other Authors:	Stoyanov A. K. Aleksandr Kirillovich
Summary:	Title screen The application of recurrent neural network for image segmentation is considered. The described method allows to perform clustering of the image parameters without the a priori information about the clusters number. Calculation of network parameters for segmentation is discussed. The experiments results of multi-step segmentation are given. [References: 6 tit.] Режим доступа: по договору с организацией-держателем ресурса
Published:	2012
Subjects:	труды учёных ТПУ электронный ресурс критические точки изображения пиксели
Online Access:	http://dx.doi.org/10.1109/IFOST.2012.6357619
Format:	Electronic Book Chapter
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=645351

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