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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 12

Line pattern recognition method of paper engineering drawing based on swin-pidnet

Zhu Wenbo
Chen Longfei
Chi Yulun
University of Shanghai for Science & Technology, School of Mechanical Engineering, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2025.04.0145

Abstract

Line pattern recognition presents the primary challenge in identifying images of paper engineering drawings. Addressing issues such as low line-type standardization, long span, and small relative size compared to the background, this paper proposes a Swin-PIDNet model for paper engineering drawing line pattern recognition. The model replaces the original PIDNet backbone network with Swin Transformer, reducing downsampling while enhancing the model's long-ranging modeling capability. A stage-by-stage unfreezing transfer learning is proposed to improve the training efficiency and accuracy of the model for line pattern recognition and to smooth the model training process. To handle the slender characteristics of engineering drawing lines, the attention module EMA is embedded into the PAHDC module, mitigating the problem of background information overwhelming line feature information. Furthermore, to address class imbalance in line pattern, a combined loss function integrating weighted Focal Loss and Dice Loss is constructed for training Swin-PIDNet. Experimental results demonstrate that the proposed model achieves an MIoU of 87.02%, MPA of 95.42%, and F1-score of 96.57%. Compared to other models, Swin-PIDNet exhibits superior line pattern recognition capability, holding significant theoretical and practical value for paper engineering drawing image analysis.

Foundation Support

国家自然科学基金资助项目(52075340)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.04.0145
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 12

Publish History

[2025-08-06] Accepted Paper

Cite This Article

朱文博, 陈龙飞, 迟玉伦. 基于Swin-PIDNet的纸质工程制图线型识别方法 [J]. 计算机应用研究, 2025, 42 (12). (2025-08-06). https://doi.org/10.19734/j.issn.1001-3695.2025.04.0145. (Zhu Wenbo, Chen Longfei, Chi Yulun. Line pattern recognition method of paper engineering drawing based on swin-pidnet [J]. Application Research of Computers, 2025, 42 (12). (2025-08-06). https://doi.org/10.19734/j.issn.1001-3695.2025.04.0145. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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