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    • Defect detection method for locomotive coil springs integrating features and deformable attention

    • Experts propose a defect detection method for locomotive circular springs based on improved RT-DETR. Through improvements such as structural reparameterization, deformable attention mechanism, and cross scale feature information fusion, the detection accuracy and efficiency are effectively improved, providing strong guarantees for the safe operation of locomotives.
    • Vol. 31, Issue 2, Pages: 499-511(2026)   

      Received:25 May 2025

      Revised:2025-07-16

      Accepted:01 August 2025

      Published:16 February 2026

    • DOI: 10.11834/jig.250240     

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  • Peng Zhenrui, Pei Zhibiao. 2026. Defect detection method for locomotive coil springs integrating features and deformable attention. Journal of Image and Graphics, 31(2):0499-0511 DOI: 10.11834/jig.250240.
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相关作者

Peng Zhenrui 兰州交通大学,机电工程学院
Pei Zhibiao 兰州交通大学,机电工程学院
Wang Congrong 西安理工大学印刷包装与数字媒体学院
Chen Yajun 西安理工大学印刷包装与数字媒体学院
Liu Shanhui 西安理工大学印刷包装与数字媒体学院
Chen Dongle 西安理工大学印刷包装与数字媒体学院
Quan Siwen 长安大学电子与控制工程学院
Zhang Shuting 长安大学电子与控制工程学院

相关机构

School of Mechatronic Engineering, Lanzhou Jiaotong University
Faculty of Printing, Packaging and Digital Media, Xi’an University of Technology
School of Electronics and Control Engineering, Chang’an University
School of Computer Science, Northwestern Polytechnical University
Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Ministry of Natural Resources, Shenzhen University
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