Deep Learning Neural Network Performance on NDT Digital X-ray Radiography Images: Analyzing the Impact of Image Quality Parameters—An Experimental Study

Deep Learning Neural Network Performance on NDT Digital X-ray Radiography Images: Analyzing the Impact of Image Quality Parameters—An Experimental Study

In response to the growing inspection demand exerted by process automation in component manufacturing, non-destructive testing (NDT) continues to explore automated approaches that utilize deep-learning algorithms for defect identification, including within digital X-ray radiography images. This nece...

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Bibliographic Details
Main Authors: Castanedo, C.I (Author), Hena, B. (Author), Maldague, X. (Author), Wei, Z. (Author)
Format: Article
Language:English
Published: MDPI 2023
Subjects:
article
Automated defect recognition
automated defect recognition (ADR)
Automation
contrast to noise ratio
Contrast-to-noise ratio
deep learning
Deep learning
Defect recognition
Defects
digital X-ray radiography
Digital X-ray radiography
E-learning
experimental study
human
image quality
Image quality
Image quality parameters
Learning algorithms
Learning systems
Non destructive testing
Nondestructive examination
non-destructive testing
Performance
radiography
Radiography images
semantic segmentation
Semantic segmentation
Semantic Segmentation
Semantics
signal noise ratio
Signal to noise ratio
X ray radiography
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