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Title: Bin-scanning: Segmentation of X-ray CT volume of binned parts using Morse skeleton graph of distance transform
Authors: Yuta, Yamauchi
Tatsuya, Yatagawa
Yutaka, Ohtake
Issue Date: 2023
Publisher: Springer
Abstract: X-ray CT scanners, due to the transmissive nature of X-rays, have enabled the non-destructive evaluation of industrial products, even inside their bodies. In light of its effectiveness, this study introduces a new approach to accelerate the inspection of many mechanical parts with the same shape in a bin. The input to this problem is a volumetric image (i.e., CT volume) of many parts obtained by a single CT scan.
Description: CC BY
URI: https://link.springer.com/article/10.1007/s41095-022-0296-2
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7312
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