Estimating the efficiency of two algorithms for segmentation of digital radiation images of test objects; Russian Journal of Nondestructive Testing; Vol. 53, iss. 2

Estimating the efficiency of two algorithms for segmentation of digital radiation images of test objects; Russian Journal of Nondestructive Testing; Vol. 53, iss. 2

Dettagli Bibliografici
Parent link:	Russian Journal of Nondestructive Testing Vol. 53, iss. 2.— 2017.— [P. 134–141]
Ente Autore:	Национальный исследовательский Томский политехнический университет (ТПУ) Институт неразрушающего контроля (ИНК) Российско-китайская научная лаборатория радиационного контроля и досмотра (РКНЛ РКД)
Altri autori:	Vorobeychikov S. E. Sergey Erikovich, Fokin V. A., Udod V. A. Viktor Anatolievich, Temnik A. K. Anatoly Konstantinovich
Riassunto:	Title screen A mathematical model that describes digital radiation images of test objects is presented. Two algorithms are given for automatic segmentation of digital images distorted by additive noises. The efficiency of the algorithms is estimated based on mathematical modeling. Режим доступа: по договору с организацией-держателем ресурса
Lingua:	inglese
Pubblicazione:	2017
Soggetti:	электронный ресурс труды учёных ТПУ test objects mathematical model digital radiation image segmentation algorithms математические модели цифровое изображение излучения алгоритмы сегментация
Accesso online:	https://doi.org/10.1134/S1061830917020085
Natura:	MixedMaterials Elettronico Capitolo di libro
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=655854

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