A study of two image-recognition algorithms for the classification of flaws in a test object according to its digital image; Russian Journal of Nondestructive Testing; Vol. 51, iss. 10

A study of two image-recognition algorithms for the classification of flaws in a test object according to its digital image; Russian Journal of Nondestructive Testing; Vol. 51, iss. 10

Bibliographic Details
Parent link:Russian Journal of Nondestructive Testing
Vol. 51, iss. 10.— 2015.— [P. 644-651]
Corporate Author: Национальный исследовательский Томский политехнический университет (ТПУ) Институт неразрушающего контроля (ИНК) Лаборатория № 40 (Технической томографии и интроскопии) (Лаборатория № 40)
Other Authors: Vorobeychikov S. E. Sergey Erikovich, Fokin V. A. Vasily Aleksandrovich, Удод В. А. Виктор Анатольевич, Темник А. К. Анатолий Константинович
Summary:Title screen
The mathematical model of a digital radiation image is given that corresponds to a test object that contains two types of defects, namely, pores and cracks (or nonpenetrating defects). Two algorithms for automatic image recognition of these defects on a digital radiation image of an object are given. The effectiveness of the algorithms was evaluated via mathematical simulation.
Режим доступа: по договору с организацией-держателем ресурса
Language:English
Published: 2015
Series:X-Ray Methods
Subjects:
электронный ресурс
труды учёных ТПУ
тест-объекты
дефекты
радиационные изображения
алгоритмы распознавания
Online Access:http://dx.doi.org/10.1134/S1061830915100101
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=646290

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