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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 9

High-precision weld defect detection based on improved YOLOv11

Wang Xiaoting1
Liu Tingting2,3
1. School of Information Engineering, Kaifeng University, Henan Kaifeng 475004, China
2. School of Computer & Software Engineering, SIAS University, Zhengzhou 451150, China
3. Henan Intelligent Manufacturing & Digital Twin Engineering Research Center, Zhengzhou 451150, China
DOI: 10.19734/j.issn.1001-3695.2025.01.0029

Abstract

Aiming at the problems of low image contrast, complex defect morphology, defect diversity, and imbalanced positive and negative sample ratio in weld defect detection, this paper proposed an improved high-precision weld defect detection method based on the YOLOv11 network framework. Firstly, the mothod improved the perception ability of texture differences in low contrast areas of weld images by introducing a robust texture difference normalization mechanism, and enhanced the detection accuracy of small defects. Then, the mothod used a boundary contour awareness decoder module to optimize the boundary information of the detection box, aiming to improve the accuracy of locating complex defects. Subsequently, the mothod utilized the designed frequency-domain feature modulation strategy to fuse the spatial and frequency domain features, enhancing the perceptual ability and sensitivity for detecting subtle defects in welds. Finally, this paper proposed a dynamic balance loss function for positive and negative samples to optimize the problem of imbalanced sample distribution during the training process by dynamically adjusting sample weights. The experimental results show that the proposed method has higher detection accuracy and stronger robustness compared to the original YOLOv11 model, improving the accuracy, recall, and mAP indicators by 2.7%, 3.4%, and 2.6%, respectively, and still maintains a high detection speed of 43.7 f/s, which can better adapt to the detection of weld defects in complex industrial environments.

Foundation Support

河南省科技攻关项目(242102210088)
河南省高等学校重点科研项目(24B520025)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.01.0029
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 9

Publish History

[2025-05-13] Accepted Paper

Cite This Article

王晓婷, 刘婷婷. 基于改进YOLOv11的焊缝缺陷高精度检测方法 [J]. 计算机应用研究, 2025, 42 (9). (2025-05-27). https://doi.org/10.19734/j.issn.1001-3695.2025.01.0029. (Wang Xiaoting, Liu Tingting. High-precision weld defect detection based on improved YOLOv11 [J]. Application Research of Computers, 2025, 42 (9). (2025-05-27). https://doi.org/10.19734/j.issn.1001-3695.2025.01.0029. )

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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