@article{Mery2014:Insight,
author = {Mery, D.},
title = {{Computer vision technology for X-ray testing}},
journal = {Insight-Non-Destructive Testing and Condition Monitoring},
year = {2014},
volume = {56},
number = {3},
pages = {147-155},
url = {http://dmery.sitios.ing.uc.cl/Prints/ISI-Journals/2014-Insight-XrayTesting.pdf},
abstract = {X-ray testing has been developed for inspection of materials or objects, where the aim is to analyze -nondestructively- those inner parts that are undetectable to the naked eye. Thus, X-ray testing is used to determine if a test object deviates from a given set of specifications. Typical applications are inspection of automotive parts, quality control of welds, screening of baggage, analysis of food products and inspection of cargos. In order to achieve efficient and effective X-ray testing, automated and semi-automated systems based on computer vision algorithms are being developed to execute this task. In this paper, we present a general overview of computer vision approaches that have been used in X-ray testing. In addition, we review some techniques that have been applied in certain relevant applications; and we introduce a public database of X-ray images that can be used for testing and evaluation of image analysis and computer vision algorithms. Finally, we conclude that there are some areas, like casting inspection where automated systems are very effective, and other application areas, such as baggage screening, where human inspection is still used; there are certain application areas ?like weld and cargo inspections? where the process is semi-automatic; and there is some research in areas -including food analysis- where processes are beginning to be characterized by the use of X-ray imaging.
}
}

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