Establishment and validation of the Channelized Hotelling Model Observer for image assessment in industrial radiography. (September 2018)

• Record Type: Journal Article
• Authors: Eckel, Sebastian; Huthwaite, Peter; Lowe, Michael; Schumm, Andreas; Guérin, Pierre
• Is Part Of: NDT & E international. Volume 98(2018)
• Page Start: 1
• Page End: 7
• Publication Date: 2018-09
• Subjects: Radiography -- Image processing -- Qualification -- Frequency domain; Nondestructive testing -- Periodicals; Contrôle non destructif -- Périodiques; Electronic journals; 620.1127
• DOI: 10.1016/j.ndteint.2018.04.001
• Languages: English
• ISSNs: 0963-8695

Abstract

Abstract: A new method for industrial radiography is presented to assess image quality objectively. The assessment is performed by a modelled observer developed to interpret radiographic images in order to rate the detectability of structural defects. For the purpose of qualifying radiographic NDE procedures, computational tools simulate the image, but should additionally automatically assess the associated image quality instead of relying on human interpretation. The Channelized Hotelling Model Observer (CHO) approach, originally developed for medical imaging, is here developed for industrial NDE applications to measure objectively the defect's detectability. A validation study based on a comparison of the model's efficiency of observing circular and elongated flaws shows that the CHO outperforms other detectability models used by industry. Furthermore, the model's reliability was verified by comparing it to psychophysical data. Highlights: A new method to assess image quality objectively is presented. A modelled observer, the Channelized Hotelling Model Observer, is implemented. The observer interprets images to rate the detectability of structural defects. Validation shows that the new method outperforms other detectability models. It improves test procedure qualifications and allows to find the best test setup.