An Automated Algorithm for Constructing Maps of Defects in Active Thermal Testing

An Automated Algorithm for Constructing Maps of Defects in Active Thermal Testing

Détails bibliographiques
Parent link:	Russian Journal of Nondestructive Testing Vol. 55, iss. 8.— 2019.— [P. 617-621]
Auteur principal:	Chulkov A. O. Arseniy Olegovich
Autres auteurs:	Nesteruk D. A. Denis Alekseevich, Vavilov V. P. Vladimir Platonovich
Résumé:	Title screen The algorithm makes it possible to simplify the procedure for processing results of the thermal testing aimed at both revealing latent defects and evaluating their transverse dimensions and shape. Applying this algorithm requires certain participation and experience of the thermography operator, as well as preliminary preparation of initial data by using techniques that increase the signal-to-noise ratio. The algorithm includes selection of defective zones on the thermogram of the test object, automated identification of points with extreme signals, and a pixel-by-pixel threshold analysis of the zones adjacent to these points, culminating in the construction of binary defect maps. Режим доступа: по договору с организацией-держателем ресурса
Langue:	anglais
Publié:	2019
Sujets:	электронный ресурс труды учёных ТПУ infrared thermography thermal testing transverse defect size automated testing composite materials инфракрасная термография тепловые испытания размеры дефекты автоматизированное тестирование композитные материалы
Accès en ligne:	https://doi.org/10.1134/S1061830919080035
Format:	Électronique Chapitre de livre
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=663950

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