10.14489/td.2019.05.pp.004-012

2019, 05 May

DOI: 10.14489/td.2019.05.pp.004-012

Sorokin A. S., Galkin D. I., Ivanayskiy E. A.
QUANTITATIVE ASSESSMENT OF RADIOGRAPHIC CONTROL INFORMATIVENESS USING ROC ANALYSIS
(pp. 4-12)

Abstract. In industrial radiography the issue of replacing film detectors with digital ones is becoming increasingly relevant. Also remains unresolved the question of an objective comparison of various radiographic testing (RT). This article presents the results of research, aimed at obtaining a quantitative assessment of RT technology informativeness. In order to construct ROC curves, characterizing the quality of binary classification, using a specific RT technology, there was designed and manufactured a sample test, containing a simulation of the most difficult to detect by RK results (U-shaped grooves 0.1 mm wide and various depths) randomly distributed discontinuities. Such test sample was made using additive technology. Developed manufacturing technology made it possible to ensure sufficient accuracy of linear dimensions, taking into account the product’s design features. After exposure of test object to various detectors, there was a decoding procedure, conducted by experts, whose task was to establish the presence / absence of a defect in analyzed element of the image. Applying such technique, used in results analysis of deciphering the images of sample test, made it possible to minimize the influence of human factor and obtain ROC curves, reflecting the capabilities of RT technology only. The subsequent determination of ROC curves parameters allows to conduct a comparative analysis of informativeness of the technologies under consideration. The example of comparison between detectors Agfa D4 and Agfa D7, given in article’s conclusion, demonstrates the possibilities of presented technique.

Keywords: radiographic control, ROC analysis, binary classifier, informativeness of control, digital radiography.

+ - About the Authors Click to collapse

A. S. Sorokin (Plekhanov Russian University of Economics, Moscow, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
D. I. Galkin (RII MSIA “Spektrum”, Moscow, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
E. A. Ivanayskiy (Polzunov Altai State Technical University, Barnaul, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

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