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

Bibliografiske detaljer
Parent link:	Russian Journal of Nondestructive Testing Vol. 53, iss. 2.— 2017.— [P. 134–141]
Institution som forfatter:	Национальный исследовательский Томский политехнический университет (ТПУ) Институт неразрушающего контроля (ИНК) Российско-китайская научная лаборатория радиационного контроля и досмотра (РКНЛ РКД)
Andre forfattere:	Vorobeychikov S. E. Sergey Erikovich, Fokin V. A., Udod V. A. Viktor Anatolievich, Temnik A. K. Anatoly Konstantinovich
Summary:	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
Sprog:	engelsk
Udgivet:	2017
Fag:	электронный ресурс труды учёных ТПУ test objects mathematical model digital radiation image segmentation algorithms математические модели цифровое изображение излучения алгоритмы сегментация
Online adgang:	https://doi.org/10.1134/S1061830917020085
Format:	Electronisk Book Chapter
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=655854

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