Defect Characterization on Complex Shape Aeronautical Parts via 3D Point Cloud Processing
Résumé
This paper presents an approach to characterizing
defects - a process that consists of accurate measurement of their
geometric properties such as depth and surface area, assuming
that the defect detection process has been successfully performed
previously. Our methodology for addressing this problem involves
three key steps. The first is to reconstruct an ideal or defectfree
surface using scattered points obtained from a point cloud
scan of the inspected part. Subsequently, the distance from each
cloud point to this surface is computed, and points at a distance
higher than a specified threshold are identified as defect points.
The maximum of these distances corresponds to the depth of the
defect. Finally, the minimal 3D bounding box encapsulating the
defect points is determined, where the two largest dimensions of
this box represent the length and width of the identified defect.
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