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Automated processing of X-ray computed tomography images via panoptic segmentation for modeling woven composite textiles. (arXiv:2202.01265v1 [cs.CV])
cs.CV updates on arXiv.org arxiv.org
A new, machine learning-based approach for automatically generating 3D
digital geometries of woven composite textiles is proposed to overcome the
limitations of existing analytical descriptions and segmentation methods. In
this approach, panoptic segmentation is leveraged to produce instance segmented
semantic masks from X-ray computed tomography (CT) images. This effort
represents the first deep learning based automated process for segmenting
unique yarn instances in a woven composite textile. Furthermore, it improves on
existing methods by providing instance-level segmentation on low contrast …
arxiv cv images modeling processing segmentation textiles x-ray