Application of recurrent neural network for multi-step full-color image segmentation

Bibliographic Details
Parent link:	The 8th International Forum on Strategic Technology (IFOST-2013), June 28 - July 1, 2013, Ulaanbaatar, Mongolia: [proceedings]/ Mongolian University of Science and Technology.— , 2013 Vol. 2.— 2013.— [P. 221-224]
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 Possibility of application of a recurrent neural network for segmentation of full-color images based on a clustering of color components is considered. Questions of multi-step segmentation of such images in different color models are discussed. Experimental results on multi-step segmentation of images are presented in the RGB and YUV color spaces. [References: 6 tit.] Режим доступа: по договору с организацией-держателем ресурса
Published:	2013
Subjects:	труды учёных ТПУ электронный ресурс критические точки изображения пиксели
Online Access:	http://dx.doi.org/10.1109/IFOST.2013.6616891
Format:	Electronic Book Chapter
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=645353

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