Article | REF: SF1500 V1

Automatic defect detection in tomographic volumes using artificial intelligence approaches

Authors: Valérie KAFTANDJIAN, Abdel Rahman DAKAK, Philippe DUVAUCHELLE

Publication date: September 10, 2022

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7. Discussion

In the proposed global approach, indications are first detected, then classified, and their characterization (not detailed here) is done last to finally accept or reject the part according to industrial specifications. Other approaches, known as "machine learning", are also considered to be part of the Artificial Intelligence family and deserve to be discussed. In these methods, discontinuities are segmented, then their features are calculated for use as input to a classifier. For example, Zhao et al have proposed an approach for detecting casting defects in 3D tomographic images. Their processing uses the "random...

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