Problems of Objects Identification in Three-dimensional X-ray Tomography

Problems of Objects Identification in Three-dimensional X-ray Tomography

Bibliographic Details
Parent link:Journal of Physics: Conference Series
Vol. 671 : Innovations in Non-Destructive Testing (SibTest 2015).— 2016.— [012035, 6 p.]
Main Author: Mamyrbaev T. A. Talgat Askarbekovich
Corporate Author: Национальный исследовательский Томский политехнический университет (ТПУ) Институт неразрушающего контроля (ИНК) Российско-китайская научная лаборатория радиационного контроля и досмотра (РКНЛ РКД)
Other Authors: Batranin A. V. Andrey Viktorovich, Ivashkov D. V. Denis Viktorovich
Summary:Title screen
X-ray computed tomography is a unique non-destructive technique which is suitable for dimensional measurements and quality testing. X-ray tomography is applied widely not only in the traditional medical area, but in natural science and engineering fields. The result of tomography is a volumetric map of attenuation coefficients which has, in fact, a limited practical sense. Usually, segmentation that converts the map into binary objects by means of threshold value is applied. In this paper we discuss the some key features of segmentation applied to a test object which is gravel composed of unconsolidated rock fragments. Gravel appeared to be a challenging object for segmentation and image recognition. One of effective approach for image processing of tomographic data, among many possible ones, is presented in this paper.
Режим доступа: по договору с организацией-держателем ресурса
Published: 2016
Subjects:
электронный ресурс
труды учёных ТПУ
идентификация
рентгеновская томография
компьютерная томография
сегментация
распознавание образов
томографические данные
Online Access:http://dx.doi.org/10.1088/1742-6596/671/1/012035
http://earchive.tpu.ru/handle/11683/33742
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=647182

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