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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4. Segmentation stage with U-Net

4.1 Choice of architecture

Segmentation is the first step in our processing chain, illustrated in figure 1 . It is applied by considering the volume slice by slice, so as to process 2D images. A convolutional U-Net was chosen for its ability to operate with relatively few training images and to enable precise segmentation. This type of neural network was developed in 2015 for biomedical image segmentation at the Department of Computer Science at the University of Freiburg in...

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Segmentation stage with U-Net