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Sensors
Volume 22
Issue 3
10.3390/s22030859
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Article

Laser Curve Extraction of Wheelset Based on Deep Learning Skeleton Extraction Network

by
Shuai Luo
1,
Kai Yang
1,*,
Lijuan Yang
2,
Yong Wang
1,
Xiaorong Gao
1,
Tianci Jiang
3 and
Chunjiang Li
4
1
School of Physical Science and Technology, Southwest Jiaotong University, Chengdu 610031, China
2
School of Mathematics, Sichuan Normal University, Chengdu 610066, China
3
School of Mechanical Engineering, Waseda University, Kitakyushu 8080135, Japan
4
School of Mechanics, Zhejiang University, Hangzhou 310058, China
*
Author to whom correspondence should be addressed.
Sensors 2022, 22(3), 859; https://doi.org/10.3390/s22030859
Submission received: 29 November 2021 / Revised: 3 January 2022 / Accepted: 12 January 2022 / Published: 23 January 2022
(This article belongs to the Topic Artificial Intelligence in Smart Industrial Diagnostics and Manufacturing)
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Abstract

In this paper, a new algorithm for extracting the laser fringe center is proposed. Based on a deep learning skeleton extraction network, the laser stripe center can be extracted quickly and accurately. Skeleton extraction is the process of reducing the shape image to its approximate central axis representation while maintaining the image’s topological and geometric shape. Skeleton extraction is an important step in topological and geometric shape analysis. According to the characteristics of the wheelset laser curve dataset, a new skeleton extraction network, a hierarchical skeleton network (LuoNet), is proposed. The proposed architecture has three levels of the encoder–decoder network, and YE Module interconnection is designed between each level of the encoder and decoder network. In the wheelset laser curve dataset, the F1_score can reach 0.714. Compared with the traditional laser curve center extraction algorithm, the proposed LuoNet algorithm has the advantages of short running time, high accuracy, and stable extraction results.
Keywords: deep learning; semantic segmentation; laser curve extraction; image processing deep learning; semantic segmentation; laser curve extraction; image processing

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MDPI and ACS Style

Luo, S.; Yang, K.; Yang, L.; Wang, Y.; Gao, X.; Jiang, T.; Li, C. Laser Curve Extraction of Wheelset Based on Deep Learning Skeleton Extraction Network. Sensors 2022, 22, 859. https://doi.org/10.3390/s22030859

AMA Style

Luo S, Yang K, Yang L, Wang Y, Gao X, Jiang T, Li C. Laser Curve Extraction of Wheelset Based on Deep Learning Skeleton Extraction Network. Sensors. 2022; 22(3):859. https://doi.org/10.3390/s22030859

Chicago/Turabian Style

Luo, Shuai, Kai Yang, Lijuan Yang, Yong Wang, Xiaorong Gao, Tianci Jiang, and Chunjiang Li. 2022. "Laser Curve Extraction of Wheelset Based on Deep Learning Skeleton Extraction Network" Sensors 22, no. 3: 859. https://doi.org/10.3390/s22030859

APA Style

Luo, S., Yang, K., Yang, L., Wang, Y., Gao, X., Jiang, T., & Li, C. (2022). Laser Curve Extraction of Wheelset Based on Deep Learning Skeleton Extraction Network. Sensors, 22(3), 859. https://doi.org/10.3390/s22030859

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