Multi-step segmentation of images by means of a recurrent neural network; The 7th International Forum on Strategic Technology (IFOST-2012), September 18-21, 2012, Tomsk

Multi-step segmentation of images by means of a recurrent neural network; The 7th International Forum on Strategic Technology (IFOST-2012), September 18-21, 2012, Tomsk

Bibliografiset tiedot
Parent link:The 7th International Forum on Strategic Technology (IFOST-2012), September 18-21, 2012, Tomsk.— 2012.— [4 p.]
Päätekijä: Nemirovskiy V. B. Viktor Borisovich
Yhteisötekijä: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра информатики и проектирования систем (ИПС)
Muut tekijät: Stoyanov A. K. Aleksandr Kirillovich
Yhteenveto: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
Kieli:englanti
Julkaistu: 2012
Aiheet:
труды учёных ТПУ
электронный ресурс
критические точки
изображения
пиксели
Linkit:http://dx.doi.org/10.1109/IFOST.2012.6357619
Aineistotyyppi: Elektroninen Kirjan osa
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=645351
Kuvaus
Yhteenveto: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
DOI:10.1109/IFOST.2012.6357619

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