3D shape estimation of wires from 3D x-ray CT images of electrical cables

Shiori Ueda; Kanon Sato; Hideo Saito; Yutaka Hoshina

doi:10.1117/12.2689548

28 July 2023 3D shape estimation of wires from 3D x-ray CT images of electrical cables

Shiori Ueda, Kanon Sato, Hideo Saito, Yutaka Hoshina

Proceedings Volume 12749, Sixteenth International Conference on Quality Control by Artificial Vision; 1274909 (2023) https://doi.org/10.1117/12.2689548
Event: Sixteenth International Conference on Quality Control by Artificial Vision, 2023, Albi, France

Abstract

Electrical cables consist of numerous wires. The 3D shape of individual wires in the cables significantly affects their characteristics. With the increasing diversity of wire structures, understanding the 3D shape of each wire in an electrical cable is crucial for analyzing characteristics such as bending stiffness. To accurately estimate the bending stiffness of actual electrical cables, a detailed 3D representation of each wire is required. Therefore, it is important to obtain the 3D shape of actual electrical cable wires using non-destructive inspection. In this study, we propose a new method to associate wires using particle tracking techniques. The proposed method performs wire tracking in two steps, linking detected wire positions between adjacent frames and connecting segmented wires across frames. The effectiveness of the proposed method was evaluated quantitatively and qualitatively. In the quantitative evaluation, the correctness of the tracking was evaluated using the data with artificial noise added to the real data detection results. The proposed method achieves highly accurate wire tracking when there is little undetected noise, and shows robustness to over-detection.

Citation Download Citation

Shiori Ueda, Kanon Sato, Hideo Saito, and Yutaka Hoshina "3D shape estimation of wires from 3D x-ray CT images of electrical cables", Proc. SPIE 12749, Sixteenth International Conference on Quality Control by Artificial Vision, 1274909 (28 July 2023); https://doi.org/10.1117/12.2689548

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KEYWORDS

3D tracking

3D image processing

X-ray computed tomography

X-rays

X-ray imaging

Particles

Design and modelling

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