Imperial College London
Alternate

DrPeterHuthwaite

Faculty of Engineering, Department of Mechanical Engineering

Reader in Mechanical Engineering
 
 
 
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Contact

 

p.huthwaite Website

 
 
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Location

 

566City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Eckel:2018:10.1016/j.ndteint.2018.04.001,
author = {Eckel, SF and Huthwaite, P and Lowe, M and Schumm, A and Guérin, P},
doi = {10.1016/j.ndteint.2018.04.001},
journal = {NDT and E International},
pages = {1--7},
title = {Establishment and validation of the channelized hotelling model observer for image assessment in industrial radiography},
url = {http://dx.doi.org/10.1016/j.ndteint.2018.04.001},
volume = {98},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Eckel,SF
AU  - Huthwaite,P
AU  - Lowe,M
AU  - Schumm,A
AU  - Guérin,P
DO  - 10.1016/j.ndteint.2018.04.001
EP  - 7
PY  - 2018///
SN  - 0963-8695
SP  - 1
TI  - Establishment and validation of the channelized hotelling model observer for image assessment in industrial radiography
T2  - NDT and E International
UR  - http://dx.doi.org/10.1016/j.ndteint.2018.04.001
UR  - http://hdl.handle.net/10044/1/58902
VL  - 98
ER  -
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