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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
Classification stage with a dedicated convolutional CT-Casting-Net
Bibliography
- (1) - ASTM International - ASTM E2422-17, Standard Digital Reference Images for Inspection of Aluminum Castings, - ASTM International, West Conshohocken, PA (2017), http://www.astm.org
- (2) - SUN (W.),...
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