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

Bibliographische Detailangaben
Parent link:	Russian Journal of Nondestructive Testing Vol. 53, iss. 2.— 2017.— [P. 134–141]
Körperschaft:	Национальный исследовательский Томский политехнический университет (ТПУ) Институт неразрушающего контроля (ИНК) Российско-китайская научная лаборатория радиационного контроля и досмотра (РКНЛ РКД)
Weitere Verfasser:	Vorobeychikov S. E. Sergey Erikovich, Fokin V. A., Udod V. A. Viktor Anatolievich, Temnik A. K. Anatoly Konstantinovich
Zusammenfassung:	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
Sprache:	Englisch
Veröffentlicht:	2017
Schlagworte:	электронный ресурс труды учёных ТПУ test objects mathematical model digital radiation image segmentation algorithms математические модели цифровое изображение излучения алгоритмы сегментация
Online-Zugang:	https://doi.org/10.1134/S1061830917020085
Format:	Elektronisch Buchkapitel
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=655854

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