5. Classification stage with a dedicated convolutional CT-Casting-Net
Since the result of segmentation is a binary image containing all abrupt variations in contrast, including artifacts, it is necessary to continue processing with a classification step. To do this, the binary images obtained slice after slice are first stacked and assembled to form a binary volume, then a labeling step is performed to associate a number with each discontinuity.
The center of mass of each of these discontinuities is then used to cut a set of three 64-by-64 cross-sections along the three main directions in space (see figure 1 ). These three images...
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Classification stage with a dedicated convolutional CT-Casting-Net
Performance of the global detection approach
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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)...
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