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Journal of Nondestructive Evaluation
Erschienen in: Journal of Nondestructive Evaluation 3/2014

01.09.2014

Automated Defect Recognition and Identification in Digital Radiography

verfasst von: P. Baniukiewicz

Erschienen in: Journal of Nondestructive Evaluation | Ausgabe 3/2014

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Abstract

Weld quality assurance is important for the safe exploitation of many products and constructions. This paper summarizes work on an advanced system for automated radiogram analysis. The most important parts of the process of radiogram analysis such as segmentation, thresholding and defect recognition and classification are discussed. A complex classifier composed of artificial neural networks and a fuzzy logic system is proposed and discussed in detail. The proposed classifier shows better performance and flexibility than the normal neural networks classifiers.
Vorheriger Artikel Air-Coupled Impact-Echo Delamination Detection in Concrete Using Spheres of Ice for Excitation
Nächster Artikel Infrared Lock-in Thermography Crack Localization on Metallic Surfaces for Industrial Diagnosis

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Metadaten
Titel
Automated Defect Recognition and Identification in Digital Radiography
verfasst von
P. Baniukiewicz
Publikationsdatum
01.09.2014
Verlag
Springer US
Erschienen in
Journal of Nondestructive Evaluation / Ausgabe 3/2014
Print ISSN: 0195-9298
Elektronische ISSN: 1573-4862
DOI
https://doi.org/10.1007/s10921-013-0216-6

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